The Complete Guide to Bank-Fintech Partnerships: Building Winning Ecosystem Strategies

January 12, 202640 min read

By Darin Petty & Todd Rotolo, Chisel Leadership Team | 16 min read


Table of Contents

  1. Introduction

  2. Understanding Bank-Fintech Partnership Models

  3. Sponsor Bank Relationships

  4. BIN Sponsorship and Card Network Partnerships

  5. Building Fintech Ecosystems

  6. Partnership Acceleration Strategies

  7. ChiselConnect: The Partnership Marketplace

  8. Partnership Economics and Value Creation

  9. Negotiation and Contracting

  10. Common Partnership Mistakes

  11. The Future of Financial Services Ecosystems

  12. Conclusion: Partnerships as Growth Strategy

  13. Frequently Asked Questions

  14. About the Authors


Introduction

The future of financial services isn't banks OR fintechs—it's banks AND fintechs working together. Recent industry challenges haven't killed partnerships; they've clarified what winning partnerships look like.

The middleware era created dependency relationships where fintechs were essentially customers of technology vendors. The post-middleware era creates true bank fintech partnerships—bank and fintech working together with aligned incentives, shared risk, and mutual success.

We've been on both sides—building fintech products and partnering with banks. The biggest lesson? The best partnerships aren't vendor relationships; they're strategic alliances. When done right, partnerships accelerate what would take years alone. When done wrong, they become expensive distractions.

What This Guide Covers: - Bank-fintech partnership models and structures that actually work - Sponsor bank selection and relationship building strategies - BIN sponsorship and card network partnership navigation - Fintech ecosystem marketplace strategies for sustainable growth - Partnership acceleration frameworks that compress timelines from months to weeks - Network effects and compounding value creation - Negotiation strategies and contract terms that protect both parties - The future of financial services ecosystems

Our Promise: You'll understand how to build partnerships that accelerate growth, reduce risk, and create sustainable competitive advantages. More importantly, you'll learn to identify partnerships worth pursuing and avoid those that waste time and resources.

The companies dominating the next decade of financial services won't be the ones with the best individual products—they'll be the ones with the most powerful partnership networks.


Understanding Bank-Fintech Partnership Models

The Evolution of Bank-Fintech Relationships

Bank fintech partnerships have evolved through distinct phases, each reflecting the industry's maturity and regulatory environment:

Phase 1: Arm's Length (2010-2015) Banks viewed fintechs as threats. Partnerships were rare, defensive, and typically involved small pilot programs with no real commitment from either side.

Phase 2: Vendor Relationships (2015-2020) Banks began purchasing fintech solutions like traditional vendors. Fintechs sold software; banks bought it. Simple but limiting for both parties.

Phase 3: Middleware Dependencies (2018-2023) The BaaS explosion created complex web of relationships where middleware companies acted as intermediaries, creating dependency rather than partnership.

Phase 4: Strategic Alliances (2024-Present) Recent industry consolidation has clarified that sustainable relationships require aligned incentives, shared risk, and mutual success metrics.

Direct Partnership vs. Middleware Models

The fundamental difference between middleware and direct partnerships isn't just technical—it's strategic:

Middleware Model Characteristics: - Three-party relationships (bank-middleware-fintech) - Dependency on intermediary's business health and strategic decisions - Limited direct communication between ultimate partners - Markup structures that misalign economic incentives - Standardized solutions that constrain differentiation

Direct Partnership Model Characteristics: - Two-party relationships with clear accountability - Direct communication and relationship management - Aligned economic incentives and shared success metrics - Customized solutions that enable differentiation - Strategic collaboration on product development and market expansion

Types of Banking Partnerships

Sponsor Bank Relationships The bank provides regulatory infrastructure, compliance oversight, and deposit insurance backing. The fintech brings technology, customer acquisition, and product innovation. Revenue typically shared based on contribution and risk.

Technology Partnerships Banks license fintech technology solutions to enhance their direct offerings. Common in areas like lending, payments, fraud detection, and customer onboarding. Usually involves licensing fees plus performance incentives.

Distribution Partnerships Banks provide customer access and distribution channels. Fintechs provide products that banks can offer under their brand. Revenue sharing reflects customer ownership and relationship management responsibilities.

Co-Creation Partnerships Both parties invest resources to create new products or services that neither could build alone. Requires highest level of strategic alignment but offers greatest potential returns.

What Banks Want from Fintech Partners

Revenue Growth Opportunities Banks seek partners who can help them enter new markets, serve new customer segments, or increase revenue per customer. The partnership should demonstrate clear path to meaningful revenue impact.

Technology Innovation Without Risk Banks want access to cutting-edge fintech solutions without the risk of building internally or the dependency of pure vendor relationships. They prefer partners who can adapt their solutions to bank requirements.

Regulatory Expertise and Compliance Banks increasingly value fintech partners who understand banking regulations and can design solutions that enhance rather than complicate compliance efforts.

Customer Experience Enhancement Banks recognize that customer expectations are set by the best fintech experiences. They seek partners who can help them compete on customer experience while maintaining regulatory compliance.

Operational Efficiency Banks want partners who can help them reduce costs, automate processes, and improve operational metrics while maintaining or improving service quality.

What Fintechs Need from Banking Partners

Regulatory Infrastructure and Expertise Fintechs need access to banking licenses, deposit insurance, payment networks, and regulatory expertise without the cost and complexity of obtaining these capabilities directly.

Scale and Distribution Banks offer customer bases, distribution channels, and operational scale that would take fintechs years to build independently.

Credibility and Trust Banking partnerships provide credibility with customers, investors, and regulators. The bank's reputation becomes part of the fintech's value proposition.

Balance Sheet and Funding Banks provide balance sheet capacity for lending products, deposit funding for liquidity needs, and often strategic investment capital.

Market Knowledge and Relationships Banks bring deep understanding of local markets, regulatory nuances, and established relationships with customers and partners.

Aligned Incentives and Win-Win Structures

The most successful banking partnership strategies create true alignment:

Shared Success Metrics: Both parties should benefit when the partnership succeeds. Revenue sharing structures should reflect actual value contribution rather than arbitrary splits.

Risk Sharing: Partners should share appropriate levels of operational, regulatory, and financial risk. Pure risk transfer rarely creates sustainable partnerships.

Investment Alignment: Both parties should invest resources—money, people, technology—in the partnership's success. Skin in the game creates commitment.

Strategic Alignment: Partners should have complementary strategic objectives. Partnerships work when both parties achieve their goals through mutual success.

Communication Structures: Regular communication, transparent reporting, and collaborative problem-solving should be built into the partnership structure from day one.


Sponsor Bank Relationships

What Is a Sponsor Bank?

A sponsor bank provides the regulatory infrastructure that enables fintech companies to offer banking services without obtaining their own banking charter. The sponsor bank relationship is typically the most critical partnership for any fintech offering deposit, lending, or payment products.

Key Functions of Sponsor Banks: - Regulatory compliance oversight and examination management - FDIC deposit insurance for customer deposits - Access to payment networks and settlement systems - BSA/AML program oversight and reporting - Customer complaint handling and resolution - Regulatory reporting and documentation

Types of Sponsor Bank Arrangements

Program Management: The bank handles all compliance and operational aspects while the fintech focuses on customer acquisition and experience. Higher fees but lower operational complexity for the fintech.

Shared Responsibility: Both parties share compliance and operational responsibilities based on expertise and capabilities. Requires more coordination but offers better economics and control.

Pass-Through Model: The fintech handles most operations while the bank provides regulatory infrastructure and oversight. Lowest fees but highest operational requirements for the fintech.

Selecting the Right Sponsor Bank

Size and Scale Considerations Larger banks typically offer more robust systems and regulatory expertise but may treat fintech partnerships as less strategic. Community banks often provide more attention and flexibility but may lack sophisticated systems.

Regulatory Track Record Review the bank's examination history, regulatory actions, and compliance reputation. A bank with regulatory issues will constrain your growth and create operational headaches.

Technology Sophistication Evaluate the bank's technology infrastructure, API capabilities, and integration experience. Banks with modern technology stacks are easier to work with and support faster product development.

Partnership Philosophy Some banks view fintech partnerships as revenue opportunities; others see them as strategic initiatives. Banks with strategic orientation typically provide better long-term support.

Geographic Reach Consider whether you need a bank with specific geographic licenses or if a national charter meets your needs. Geographic restrictions can limit your market expansion options.

Pricing Structures Compare not just headline fees but total cost of ownership including setup costs, transaction fees, compliance costs, and termination fees.

The Relationship Development Process

Phase 1: Initial Qualification (2-4 weeks) Both parties evaluate strategic fit, regulatory compatibility, and basic commercial terms. High-level discussions with business development and risk teams.

Phase 2: Technical Due Diligence (4-6 weeks) Detailed review of technology integration requirements, compliance programs, and operational procedures. Involves technology and compliance teams from both organizations.

Phase 3: Legal and Commercial Negotiation (6-8 weeks) Contract negotiation covering terms, pricing, service levels, liability, and termination provisions. Legal teams take the lead with business oversight.

Phase 4: Integration and Testing (8-12 weeks) Technical integration, compliance program setup, and operational testing. Requires dedicated project management and technical resources from both parties.

Phase 5: Launch Preparation (2-4 weeks) Final testing, regulatory notifications, and go-live preparation. Marketing and operations teams prepare for customer onboarding.

Due Diligence Requirements (Both Directions)

Bank Due Diligence on Fintech: - Management team background and experience - Technology security and architecture review - Compliance program design and implementation - Financial projections and funding sources - Customer acquisition strategy and unit economics - Legal structure and intellectual property

Fintech Due Diligence on Bank: - Regulatory examination history and compliance record - Technology infrastructure and integration capabilities - Partnership experience and reference customers - Financial stability and capital adequacy - Management team stability and partnership commitment - Operational capabilities and service quality

Contract Negotiation Strategies

Start with Alignment on Strategic Objectives Before discussing terms, ensure both parties understand and agree on the partnership's strategic goals. Misaligned objectives lead to contract disputes later.

Focus on Total Economics, Not Just Fees Consider all costs including setup fees, transaction costs, compliance costs, and termination fees. Sometimes higher headline fees result in lower total cost.

Build in Growth Incentives Structure pricing to reward partnership success. Volume discounts, milestone bonuses, and performance incentives align interests better than flat fee structures.

Address Termination and Transition Nobody wants to plan for partnership failure, but clear termination procedures protect both parties and actually make partnerships more likely to succeed.

Include Performance Standards and Service Levels Define specific service level agreements for response times, system availability, and issue resolution. Measurable standards prevent disputes.

Ongoing Relationship Management

Regular Communication Cadence Establish regular business reviews, operational meetings, and strategic planning sessions. Most partnership problems stem from poor communication.

Joint Performance Monitoring Track partnership performance metrics that matter to both parties. Shared dashboards and regular reporting keep everyone aligned.

Escalation Procedures Define clear escalation procedures for operational issues, compliance concerns, and strategic disagreements. Fast issue resolution prevents small problems from becoming partnership-threatening crises.

Strategic Planning Integration Include your sponsor bank in strategic planning discussions. Banks that understand your roadmap can provide better support and identify partnership expansion opportunities.


BIN Sponsorship and Card Network Partnerships

Understanding BIN Sponsorship

A Bank Identification Number (BIN) is the first six digits of a card number that identifies the issuing bank. BaaS sponsorship relationships allow fintechs to issue cards under a bank's BIN without obtaining their own network membership.

BIN Sponsorship Enables: - Card issuing capabilities without direct network membership - Access to network services and programs - Settlement and clearing through the sponsor bank - Compliance with network rules and regulations - Dispute management and chargeback handling

Visa and Mastercard Partnership Requirements

Network Membership Requirements: Both Visa and Mastercard have specific requirements for direct membership including minimum transaction volumes, financial stability, operational capabilities, and compliance programs.

Sponsored vs. Direct Membership: Most fintechs start with sponsored arrangements and graduate to direct membership as they scale. Direct membership offers better economics and more control but requires significant operational capabilities.

Compliance and Certification: Both sponsoring banks and sponsored fintechs must meet network compliance requirements including PCI DSS certification, fraud monitoring, and operational standards.

Direct vs. Indirect BIN Sponsorship

Direct BIN Sponsorship: The fintech works directly with a bank that sponsors their BIN. Simpler relationship structure but requires finding a bank with available BIN capacity and partnership interest.

Indirect BIN Sponsorship: The fintech works with a processor who provides BIN sponsorship through their banking relationships. More complex structure but often easier to access and faster to implement.

Trade-offs to Consider: - Direct sponsorship typically offers better economics and more control - Indirect sponsorship often provides faster time to market and less complexity - Direct sponsorship requires building banking relationships - Indirect sponsorship may limit customization and partnership opportunities

BIN Sponsor Selection Criteria

BIN Capacity and Availability Ensure the sponsor has adequate BIN range capacity for your projected growth. Running out of BIN capacity can constrain growth and require expensive migrations.

Network Relationships and Standing Review the sponsor's relationship history with card networks. Banks with poor network relationships may face restrictions that limit your capabilities.

Technology Integration Capabilities Evaluate integration complexity, API quality, and technical support capabilities. Poor integration capabilities slow product development and increase operational costs.

Pricing Transparency and Competitiveness Compare not just headline fees but all costs including setup, transaction fees, network fees, and compliance costs. Hidden fees can significantly impact unit economics.

Service Level and Support Quality Assess response times, issue resolution capabilities, and account management quality. Card programs require reliable operational support.

Network Compliance and Certification

PCI DSS Compliance All parties handling card data must maintain PCI DSS compliance. Understand compliance responsibilities and ensure your sponsor provides adequate support.

Network Rule Compliance Both Visa and Mastercard have extensive rule books covering everything from transaction processing to marketing materials. Violations can result in fines and program termination.

Fraud Monitoring Requirements Networks require sophisticated fraud monitoring systems and rapid response to fraud patterns. Ensure your sponsor provides adequate fraud detection capabilities.

Operational Standards Networks impose operational standards for system availability, transaction processing speed, and customer service. Non-compliance can result in penalties or program suspension.

Card Program Economics

Interchange Revenue Understand interchange rates for different card types and transaction categories. Interchange optimization can significantly impact program profitability.

Network Fees and Assessments Both networks charge various fees including authorization fees, clearing fees, and assessment fees. Factor these into your unit economics.

Sponsor Fees and Revenue Sharing BIN sponsors typically charge setup fees, monthly fees, and transaction fees. Some sponsors also share interchange revenue with their fintech partners.

Program Profitability Analysis Model total program economics including all fees, interchange revenue, and operational costs. Many card programs that look profitable on paper lose money when all costs are considered.

Settlement and Reconciliation

Settlement Timing Understand settlement timing for different transaction types. Delayed settlement affects cash flow and requires working capital planning.

Reconciliation Procedures Establish clear reconciliation procedures for transaction settlement, fee calculations, and dispute resolution. Poor reconciliation processes create operational headaches and financial discrepancies.

Exception Handling Define procedures for handling settlement exceptions, transaction reversals, and system failures. Exception handling is often where card programs break down operationally.

Dispute Management in Partnerships

Chargeback Responsibilities Clearly define responsibility for chargeback management including investigation, response, and liability. Poor chargeback management can result in significant losses and network penalties.

Dispute Resolution Procedures Establish procedures for resolving disputes between partners including escalation processes and decision authority. Fast dispute resolution prevents small issues from becoming major problems.

Liability Allocation Define liability allocation for different types of losses including fraud, operational errors, and compliance violations. Appropriate liability allocation protects both parties while incentivizing good behavior.


Building Fintech Ecosystems

What Is a Fintech Ecosystem?

A fintech ecosystem marketplace is a network of interconnected partners—banks, fintechs, technology providers, and service providers—that create more value together than they could independently. Successful ecosystems generate network effects where each new participant increases the value for all existing participants.

Ecosystem Characteristics: - Multiple participant types with complementary capabilities - Shared infrastructure and standards that reduce integration costs - Network effects where growth benefits all participants - Governance structures that ensure ecosystem health - Revenue models that align incentives across participants

Ecosystem vs. Marketplace vs. Platform

Marketplace: A platform that facilitates transactions between buyers and sellers. Think Amazon or eBay for financial services.

Platform: Infrastructure that enables other parties to build products and services. Think Salesforce or AWS for financial services.

Ecosystem: A network of partners that create integrated solutions for customers. Think Apple's ecosystem of hardware, software, and services.

Most successful financial services ecosystems combine elements of all three models.

Network Effects in Financial Services

Direct Network Effects: Each additional user makes the service more valuable for existing users. Payment networks like Visa demonstrate direct network effects—merchants accept cards because consumers use them, and consumers use cards because merchants accept them.

Indirect Network Effects: Additional users attract complementary products or services that benefit existing users. Banking ecosystems demonstrate indirect effects—more customers attract more service providers, which improves offerings for all customers.

Data Network Effects: More users generate more data, which improves the service for all users. Credit scoring and fraud detection systems demonstrate data network effects.

Social Network Effects: Users benefit from connecting with other users. P2P payment systems like Venmo demonstrate social network effects.

The Compounding Value of Ecosystems

Customer Acquisition Cost Reduction: Ecosystem partners can refer customers to each other, reducing acquisition costs for all participants. A banking ecosystem might include core banking, lending, payments, and wealth management providers who cross-refer customers.

Customer Lifetime Value Expansion: Ecosystem partners can offer complementary services that increase customer lifetime value. A customer who uses multiple ecosystem services is more valuable and less likely to churn.

Product Development Acceleration: Ecosystem partners can integrate their capabilities to create new products faster than any individual company could develop them independently.

Risk Reduction Through Diversification: Ecosystem participants can share risk across multiple revenue streams and customer segments, creating more resilient businesses.

Curated vs. Open Ecosystem Strategies

Curated Ecosystem Benefits: - Higher quality standards and customer experience - Stronger network effects through careful partner selection - Better alignment of incentives and strategic objectives - Reduced complexity for customers and ecosystem participants

Curated Ecosystem Challenges: - Slower growth due to selective partner acceptance - Higher operational overhead for partner management - Risk of missing valuable partners due to selection criteria - Potential for ecosystem leader bias in partner selection

Open Ecosystem Benefits: - Faster growth through easier partner participation - Greater innovation through diverse participant perspectives - Reduced risk of ecosystem leader bottleneck - Market-driven quality selection rather than central control

Open Ecosystem Challenges: - Quality control and customer experience consistency - Complex governance and dispute resolution - Potential for participant conflicts and competitive dynamics - Difficulty maintaining strategic alignment across many participants

Partnership Vetting and Quality Control

Financial Stability Assessment: Evaluate partner financial health, funding sources, and business model sustainability. Ecosystem participants need partners they can rely on long-term.

Technology Compatibility Evaluation: Assess technical integration capabilities, security standards, and operational reliability. Poor technology partners can compromise the entire ecosystem experience.

Regulatory Compliance Review: Verify partner compliance with relevant regulations and assess potential compliance risks. Regulatory issues with one partner can affect the entire ecosystem.

Strategic Alignment Analysis: Evaluate alignment between partner strategic objectives and ecosystem goals. Misaligned partners can create conflicts that undermine ecosystem success.

Customer Experience Standards: Define minimum customer experience standards and ensure partners can meet them consistently. Poor customer experience from any partner reflects on the entire ecosystem.

Ecosystem Governance Models

Centralized Governance: One organization makes ecosystem decisions and enforces standards. Provides clear accountability but may limit innovation and participant engagement.

Federated Governance: Key ecosystem participants share governance responsibilities through formal structures. Balances control with participation but can create decision-making complexity.

Distributed Governance: Market forces and participant agreements drive ecosystem evolution with minimal central control. Maximizes innovation but may lack coordination and standards.

Hybrid Governance: Different governance models for different ecosystem functions. Common approach that optimizes governance for each function but requires careful coordination.

Revenue Models for Ecosystem Platforms

Transaction-Based Revenue: Take a percentage of transactions processed through the ecosystem. Aligns ecosystem operator revenue with participant success but may discourage high-volume, low-margin transactions.

Subscription-Based Revenue: Charge participants periodic fees for ecosystem access and services. Provides predictable revenue but may discourage small or new participants.

Success Fee Revenue: Charge participants based on successful outcomes like completed partnerships or customer acquisitions. Aligns interests but requires sophisticated tracking and attribution.

Service-Based Revenue: Charge for specific services like partner matching, integration support, or marketing services. Creates additional revenue streams but may complicate the ecosystem value proposition.


Partnership Acceleration Strategies

Why Traditional Partnerships Take Too Long

Over-Engineering Solutions: Partners spend months creating custom solutions when standard approaches would work. Perfect becomes the enemy of good, and opportunities are missed while perfect solutions are developed.

Sequential Process Design: Traditional partnership processes handle each phase sequentially—legal review, then technical integration, then compliance review. Parallel processing can reduce timelines by 60-70%.

Lack of Pre-Approved Templates: Every partnership starts from scratch with contract negotiations, technical specifications, and compliance reviews. Pre-approved frameworks can accelerate standard partnerships significantly.

Insufficient Executive Commitment: Partnerships that lack executive sponsorship move slowly through organizational priorities. Executive commitment accelerates decision-making and resource allocation.

Inadequate Project Management: Partnership development often lacks dedicated project management, leading to missed deadlines, poor communication, and resource conflicts.

The Partnership Velocity Framework

Phase 1: Strategic Alignment (Week 1) Confirm strategic fit, success metrics, and resource commitment before investing in detailed partnership development.

Phase 2: Parallel Workstreams (Weeks 2-6) Run legal, technical, and compliance workstreams simultaneously rather than sequentially. Weekly cross-functional alignment meetings prevent conflicts.

Phase 3: Integration Sprint (Weeks 7-10) Dedicated technical and operational integration with daily standups and weekly executive reviews. Treat integration like a product launch.

Phase 4: Pilot Launch (Weeks 11-12) Limited pilot with select customers or use cases to validate integration and operational procedures before full launch.

From Months to Weeks: Acceleration Tactics

Pre-Built Integration Libraries: Develop standard integration libraries for common partnership patterns. API wrappers, data transformation utilities, and authentication modules can reduce integration time by weeks.

Template Libraries: Create template contracts, technical specifications, and compliance frameworks for common partnership types. Templates reduce negotiation time and ensure consistency.

Fast-Track Decision Processes: Establish fast-track approval processes for strategic partnerships with pre-approved budget allocations and decision authority.

Dedicated Partnership Teams: Assign dedicated team members to partnership development rather than pulling resources from other projects. Dedicated resources move faster than shared resources.

Executive Sponsor Engagement: Ensure executive sponsors from both organizations are engaged weekly during partnership development. Executive attention removes roadblocks quickly.

Pre-Negotiated Terms and Templates

Master Service Agreement Templates: Develop master templates for common partnership structures including liability allocation, termination procedures, and dispute resolution.

Technical Integration Standards: Establish standard technical requirements for API design, security protocols, and data formats. Standards reduce negotiation time and improve integration quality.

Commercial Term Sheets: Create template term sheets for common revenue sharing models, fee structures, and performance incentives.

Compliance Framework Templates: Develop standard compliance frameworks that can be customized for specific partnerships rather than built from scratch each time.

Standardized Due Diligence Processes

Due Diligence Checklists: Create comprehensive checklists for financial, technical, compliance, and operational due diligence. Checklists ensure consistency and reduce review time.

Information Request Templates: Standardize information requests to potential partners. Standard requests speed partner response and improve comparison quality.

Risk Assessment Frameworks: Develop standardized risk assessment criteria and scoring methodologies. Consistent frameworks enable faster decision-making.

Reference Check Procedures: Establish standard reference check procedures including question templates and evaluation criteria.

Technology Integration Acceleration

API-First Integration Design: Design partnerships around API integration from the beginning rather than retrofitting APIs later. API-first design reduces integration complexity and time.

Sandbox Environment Provision: Provide sandbox environments for partner testing and development. Sandboxes enable parallel development and reduce integration risk.

Integration Testing Automation: Automate integration testing to enable rapid iteration and validation. Manual testing slows integration and increases error risk.

Monitoring and Alerting Setup: Establish monitoring and alerting for partnership integrations from day one. Early problem detection prevents small issues from becoming major problems.

Compliance Pre-Approval Frameworks

Risk-Based Approval Levels: Establish different approval requirements based on partnership risk levels. Low-risk partnerships can use expedited approval processes.

Pre-Approved Partner Categories: Create pre-approved categories for common partner types like payment processors, identity verification providers, or core banking platforms.

Compliance Review Automation: Automate compliance reviews for standard partnership patterns. Automation reduces review time and improves consistency.

Regulatory Consultation Integration: Build regulatory consultation into partnership development processes rather than treating it as a separate step.

Case Study: 90-Day Partnership Activation

Situation: Mid-sized bank wanted to add digital lending capability through fintech partnership.

Traditional Approach Timeline: 12-18 months including vendor selection, contract negotiation, technical integration, compliance review, and pilot launch.

Accelerated Approach: - Week 1: Used pre-qualified fintech vendor list to select partner - Weeks 2-4: Negotiated contract using template master agreement - Weeks 2-6: Parallel technical integration using standard API libraries - Weeks 4-8: Compliance review using pre-approved framework - Weeks 9-10: Integration testing and operational setup - Weeks 11-12: Pilot launch with select customers

Results: 90-day partnership activation with same quality standards as traditional approach. Bank launched digital lending six months ahead of schedule and captured significant market share before competitors.

Key Success Factors: Executive sponsorship, dedicated project team, pre-built frameworks, and parallel processing of workstreams.


ChiselConnect: The Partnership Marketplace

The Partnership Discovery Problem

Information Asymmetry: Banks and fintechs struggle to find each other despite mutual interest in partnerships. Banks don't know which fintechs are partnership-ready, and fintechs don't know which banks are interested in their solutions.

Quality Assessment Difficulty: Evaluating potential partners requires significant time and resources. Companies waste months exploring partnerships that aren't viable while missing opportunities with partners that would be great fits.

Integration Complexity: Each partnership requires custom integration work even when solutions are similar. Lack of standards and common frameworks makes partnerships more expensive and time-consuming than necessary.

Relationship Development Overhead: Building trust and rapport with potential partners takes significant time and relationship management overhead. Cold outreach and conference networking are inefficient partnership development strategies.

How ChiselConnect Solves Ecosystem Friction

Curated Partner Network: ChiselConnect maintains a curated network of banks, fintechs, and service providers who have been pre-qualified for partnership readiness. Members can trust that other network participants are serious about partnerships.

Structured Matchmaking: Rather than random networking, ChiselConnect uses structured matchmaking based on strategic objectives, technical requirements, and partnership criteria.

Pre-Built Integration Frameworks: Network participants benefit from shared integration libraries, API standards, and technical frameworks that reduce partnership development time and cost.

Trust and Reputation System: Members build reputation within the network through successful partnerships and peer reviews. Reputation reduces the trust-building overhead for new partnerships.

Expert Partnership Support: ChiselConnect provides partnership development expertise including strategy, negotiation, and integration support to help members accelerate partnership development.

Curated Network Benefits

Quality Over Quantity: ChiselConnect prioritizes partner quality over network size. Members spend time with partners who are genuinely interested and capable of successful partnerships.

Strategic Alignment Focus: Network curation emphasizes strategic alignment and partnership potential rather than just company credentials or size.

Reputation and Accountability: Curated networks create accountability through reputation systems and community standards. Poor partners are identified and addressed quickly.

Knowledge Sharing: Smaller, curated networks enable deeper knowledge sharing and collaboration between members.

The "Only Room That Matters" Philosophy

ChiselConnect operates on the principle that being in the right room matters more than being in every room. For banking partnerships, there are typically 20-30 key decision-makers who determine partnership success in any given market segment.

Focus Over Scale: Rather than hosting large conferences with hundreds of participants, ChiselConnect facilitates intimate gatherings of 20-30 key decision-makers who can actually commit to partnerships.

Decision-Maker Access: Network participants gain access to actual partnership decision-makers rather than business development representatives who can't commit to partnerships.

Strategic Conversation Facilitation: Conversations focus on strategic partnership opportunities rather than product demonstrations or sales pitches.

Long-Term Relationship Building: The focus is on building long-term strategic relationships rather than short-term transactional opportunities.

Matchmaking and Introduction Services

Partnership Opportunity Identification: ChiselConnect identifies partnership opportunities based on member strategic objectives, technical capabilities, and market positioning.

Structured Introduction Process: Introductions follow a structured process including background briefings, strategic alignment assessment, and mutual interest confirmation before formal meetings.

Partnership Development Support: ChiselConnect provides ongoing support throughout the partnership development process including strategy guidance, negotiation support, and integration assistance.

Success Tracking and Optimization: Network partnerships are tracked from introduction through successful launch, enabling continuous improvement of matchmaking algorithms and processes.

Success Stories and Network Effects

Cross-Referral Network Effects: As network members complete successful partnerships, they become more valuable partners for other network participants. Success breeds more success.

Knowledge Network Effects: Each partnership generates learnings that benefit future partnerships. Network participants benefit from collective partnership experience.

Reputation Network Effects: Successful partnerships build reputation within the network, making future partnerships easier to establish and negotiate.

Scale Network Effects: As the network grows, members benefit from increased partnership opportunities and improved matchmaking quality.

How to Join and Participate

Membership Criteria: ChiselConnect membership is by application and focuses on partnership readiness, strategic clarity, and commitment to network participation.

Participation Requirements: Members are expected to actively participate in network activities, provide feedback on introductions, and contribute to community knowledge sharing.

Network Contribution: Members contribute to network value through partnership expertise, strategic insights, and successful partnership examples.

Ongoing Engagement: Regular participation in network events, strategic discussions, and partnership development activities is expected for continued membership.


Partnership Economics and Value Creation

Partnership Revenue Models

Revenue Share Models: Partners split revenue based on value contribution. Common in sponsor bank relationships where revenue is shared based on customer origination, risk management, and operational responsibilities.

Fee-for-Service Models: Partners pay fees for specific services or capabilities. Common in technology partnerships where fintechs pay banks for regulatory infrastructure or banks pay fintechs for technology solutions.

Equity Partnership Models: Partners exchange equity stakes to align long-term interests. Less common but powerful for strategic partnerships with significant mutual investment.

Success Fee Models: Partners pay fees based on successful outcomes like customer acquisitions, loan originations, or transaction volumes. Aligns interests but requires sophisticated tracking.

Revenue Share Structures

Contribution-Based Sharing: Revenue shared based on each partner's contribution to customer acquisition, product delivery, and ongoing relationship management.

Risk-Based Sharing: Revenue allocation reflects risk allocation. Partners taking more operational, credit, or regulatory risk receive higher revenue shares.

Investment-Based Sharing: Revenue sharing reflects relative investment in partnership development, technology integration, and ongoing operations.

Performance-Based Sharing: Revenue sharing adjusts based on partnership performance metrics like customer satisfaction, retention rates, or cross-sell success.

Platform Fees and Economics

Setup and Integration Fees: One-time fees to cover partnership setup costs including legal, technical integration, and compliance setup.

Monthly Platform Fees: Recurring fees for access to partnership infrastructure, ongoing support, and ecosystem participation.

Transaction-Based Fees: Variable fees based on transaction volume, customer activity, or partnership utilization.

Success-Based Fees: Fees tied to partnership success metrics like customer growth, revenue growth, or market share gains.

Cross-Sell and Upsell Opportunities

Customer Journey Mapping: Map customer journeys across partner capabilities to identify natural cross-sell and upsell opportunities.

Product Integration Strategies: Integrate partner products into customer workflows to create natural expansion opportunities.

Data-Driven Recommendations: Use customer data and behavior analysis to identify optimal timing and products for cross-sell and upsell efforts.

Incentive Alignment: Structure partner incentives to reward successful cross-sell and upsell activities rather than just initial customer acquisition.

Network Effects and LTV Multiplication

Customer Lifetime Value Expansion: Ecosystem partnerships can multiply customer lifetime value by expanding the range of products and services available to customers.

Retention Rate Improvement: Customers using multiple ecosystem services typically have higher retention rates and lower churn risk.

Acquisition Cost Distribution: Customer acquisition costs can be distributed across multiple ecosystem participants, reducing effective acquisition cost for all partners.

Viral Coefficient Enhancement: Ecosystem customers often have higher referral rates due to increased engagement and satisfaction with integrated service offerings.

Partnership ROI Measurement

Direct Revenue Attribution: Track revenue directly attributable to partnership activities including referrals, cross-sells, and co-created products.

Cost Allocation and Tracking: Allocate partnership development costs, ongoing operational costs, and opportunity costs to calculate true partnership ROI.

Customer Lifetime Value Impact: Measure partnership impact on customer lifetime value including retention rate improvements and revenue expansion.

Strategic Value Quantification: Quantify strategic benefits like market access, capability development, and competitive positioning that don't show up in direct financial metrics.

Long-Term Value Creation

Capability Development: Partnerships should build organizational capabilities that create lasting competitive advantage beyond the immediate partnership benefits.

Market Position Enhancement: Successful partnerships should strengthen market position and create platform effects that attract additional partnership opportunities.

Ecosystem Network Effects: Long-term partnership value comes from network effects where each partnership makes future partnerships more valuable and easier to establish.

Strategic Option Value: Partnerships create strategic options for future business development including new markets, new products, and new customer segments.


Negotiation and Contracting

Key Contract Terms for Bank Partnerships

Service Level Agreements (SLAs): Define specific performance standards for system availability, response times, transaction processing speed, and issue resolution. Include penalties for non-compliance and incentives for exceeding standards.

Data Rights and Privacy: Clarify data ownership, usage rights, sharing permissions, and privacy compliance responsibilities. Address customer data protection, regulatory reporting requirements, and data portability.

Liability and Indemnification: Allocate liability for different types of losses including operational errors, compliance violations, fraud, and cyber security incidents. Include appropriate insurance requirements and indemnification provisions.

Intellectual Property Rights: Address ownership of jointly developed intellectual property, licensing rights for existing IP, and protection of proprietary information and trade secrets.

Regulatory Compliance: Define regulatory compliance responsibilities for each party including examination cooperation, reporting requirements, and remediation responsibilities for compliance issues.

Termination and Transition: Establish termination procedures including notice periods, data transfer requirements, customer communication responsibilities, and operational transition support.

Common Negotiation Pitfalls

Misaligned Risk Tolerance: Partners often have different risk tolerance levels that aren't addressed until contract negotiation. Address risk allocation philosophy early in partnership discussions.

Unclear Success Metrics: Partnerships without clear, measurable success metrics often fail. Define specific performance indicators and measurement methodologies before finalizing contracts.

Inadequate Termination Planning: Nobody wants to plan for partnership failure, but unclear termination procedures create expensive disputes. Address termination scenarios comprehensively.

Over-Optimization for Initial Conditions: Contracts optimized for current conditions often break when circumstances change. Build flexibility and adjustment mechanisms into partnership agreements.

Insufficient Governance Structure: Partnerships without clear governance structures struggle with decision-making and conflict resolution. Establish governance frameworks before they're needed.

Pricing Structure Considerations

Total Cost of Ownership Analysis: Evaluate all partnership costs including setup fees, transaction fees, compliance costs, and opportunity costs rather than focusing only on headline pricing.

Variable vs. Fixed Pricing: Consider the trade-offs between predictable fixed costs and scalable variable costs based on your business model and growth projections.

Performance Incentive Alignment: Structure pricing to reward partnership success through volume discounts, performance bonuses, and success fee arrangements.

Market Rate Benchmarking: Research market rates for similar partnerships to ensure pricing is competitive and fair for both parties.

Liability and Indemnification

Operational Risk Allocation: Allocate liability for operational failures based on control and expertise. The party best positioned to prevent and manage specific risks should bear primary liability.

Regulatory Risk Sharing: Regulatory compliance risks should typically be shared based on regulatory responsibility and control rather than transferred entirely to one party.

Cyber Security Risk Management: Cyber security liability should reflect security control responsibilities and include appropriate insurance requirements for both parties.

Force Majeure and Business Continuity: Address liability allocation for events beyond either party's control including natural disasters, regulatory changes, and market disruptions.

Termination Clauses and Exit Strategies

Termination Trigger Events: Define specific events that allow partnership termination including performance failures, compliance violations, material adverse changes, and strategic misalignment.

Notice Period Requirements: Establish appropriate notice periods that allow orderly transition while protecting both parties from prolonged unsatisfactory relationships.

Data and Customer Transition: Define procedures for customer communication, data transfer, and operational transition that protect customer interests and business continuity.

Financial Settlement Procedures: Address final financial settlements including outstanding fees, revenue sharing calculations, and termination cost allocation.

Exclusivity and Non-Compete Considerations

Geographic and Product Exclusivity: Consider whether exclusivity arrangements are necessary and ensure they're appropriately limited in scope and duration.

Competitive Restriction Balance: Balance competitive protection with partnership flexibility. Overly restrictive provisions can prevent valuable partnership opportunities.

Performance-Based Exclusivity: Consider making exclusivity conditional on performance metrics rather than automatic. Performance-based exclusivity protects both parties' interests.

Market Development Investment Protection: Address investment protection for market development activities while maintaining reasonable competitive flexibility.

Service Level Agreements (SLAs)

Measurable Performance Standards: Define specific, measurable performance standards rather than subjective quality measures. Objective standards prevent disputes and enable performance management.

Appropriate Penalty and Incentive Structures: Include penalties for SLA failures and incentives for exceeding standards. Balanced structures motivate good performance without creating adversarial relationships.

Regular Performance Reporting: Establish regular performance reporting procedures that provide visibility into SLA compliance and partnership health.

Continuous Improvement Mechanisms: Include provisions for periodic SLA review and adjustment based on partnership evolution and performance experience.


Common Partnership Mistakes

Rushing Into Partnerships Without Strategy

The Attraction of "Easy" Partnerships: Companies often pursue partnerships that seem easy to establish without considering strategic fit or long-term value. Easy partnerships are often easy because they don't create significant value for either party.

Partnership for Partnership's Sake: Some companies pursue partnerships to check boxes or meet investor expectations without clear strategic objectives. Partnerships without strategic purpose rarely succeed.

Inadequate Strategic Planning: Companies enter partnerships without clear success metrics, resource allocation plans, or integration strategies. Poor planning leads to poor execution and partnership failure.

Solution: Develop clear partnership strategies with specific objectives, success metrics, and resource requirements before pursuing any partnership opportunities.

Misaligned Incentives and Expectations

Different Success Definitions: Partners often have different definitions of partnership success that aren't addressed until problems arise. One partner may prioritize revenue growth while the other focuses on customer acquisition.

Incompatible Business Models: Partners with fundamentally different business models or customer strategies struggle to create aligned partnership structures.

Cultural Misalignment: Organizations with significantly different cultures, decision-making styles, or operational approaches often struggle with partnership execution despite strategic alignment.

Solution: Address alignment issues explicitly during partnership development including success metrics, business model compatibility, and cultural fit assessment.

Poor Communication and Relationship Management

Inadequate Communication Structures: Partnerships without regular communication structures often develop problems that could have been addressed early with better information sharing.

Single Point of Failure Relationships: Partnerships that depend on individual relationships rather than organizational structures are vulnerable to personnel changes and relationship conflicts.

Reactive Problem Solving: Partners who only communicate when problems arise miss opportunities for proactive partnership optimization and relationship building.

Solution: Establish regular communication structures, multi-level relationship management, and proactive partnership health monitoring.

Inadequate Due Diligence

Financial Stability Oversight: Partners who don't adequately assess each other's financial stability may find themselves partnered with companies that can't deliver on commitments.

Technology Capability Misassessment: Overestimating or misunderstanding partner technology capabilities leads to integration failures and operational problems.

Regulatory Compliance Assumptions: Assuming partners have adequate regulatory compliance capabilities without verification can create significant risk exposure.

Solution: Implement comprehensive due diligence processes covering financial, technical, operational, and regulatory capabilities.

Ignoring Cultural Fit

Decision-Making Style Conflicts: Partners with different decision-making styles (consensus vs. hierarchical, fast vs. deliberate) often struggle with partnership execution.

Communication Style Mismatches: Differences in communication preferences, meeting styles, and information sharing approaches can create friction and misunderstandings.

Risk Tolerance Differences: Partners with significantly different risk tolerance levels struggle to agree on partnership activities and operational procedures.

Solution: Assess cultural fit explicitly including decision-making styles, communication preferences, and risk tolerance alignment.

Over-Dependence on Single Partners

Concentration Risk Creation: Companies that become overly dependent on single partners create business concentration risk and lose negotiating leverage.

Innovation Stagnation: Over-dependence on single partners can reduce innovation and competitive pressure that drives continuous improvement.

Exit Barrier Development: Deep integration with single partners can create significant switching costs and exit barriers that limit future strategic flexibility.

Solution: Maintain partnership diversification and avoid creating dependencies that constrain strategic flexibility and business resilience.


The Future of Financial Services Ecosystems

Emerging Partnership Models

Platform-as-a-Service (PaaS) Banking: Banks increasingly offer their capabilities as platform services that fintechs can integrate rather than traditional sponsor bank arrangements. This model provides more flexibility and better economics for both parties.

Embedded Finance Integration: Traditional partnership models are evolving to support embedded finance where financial services are integrated into non-financial platforms and experiences.

Community Banking Cooperatives: Smaller banks are forming cooperative partnerships with fintechs to achieve scale benefits while maintaining local market focus and community banking advantages.

Regulatory-as-a-Service: Specialized firms are emerging to provide regulatory compliance capabilities as a service, enabling more flexible partnership structures that separate technology from regulatory infrastructure.

Technology Enabling Better Partnerships

API Standardization: Industry-wide API standardization reduces partnership integration costs and enables faster partnership development. Standards like Open Banking APIs in Europe demonstrate the potential.

Cloud-Native Integration: Cloud-native architectures enable easier integration and more flexible partnership structures. Partners can integrate capabilities without complex system modifications.

Artificial Intelligence and Machine Learning: AI and ML capabilities enable smarter partner matching, automated due diligence, and predictive partnership performance management.

Blockchain and Distributed Ledger Technology: Blockchain technology may enable new partnership models based on distributed governance, automated contract execution, and transparent performance tracking.

Regulatory Evolution Supporting Ecosystems

Regulatory Sandbox Programs: Regulatory sandbox programs in various jurisdictions allow controlled testing of innovative partnership models and financial services approaches.

Open Banking Initiatives: Open banking regulations require banks to provide API access to customer data, enabling new partnership models and competitive dynamics.

Digital Bank Charter Evolution: New types of banking charters and regulatory frameworks are emerging to support digital-native banks and fintech partnerships.

Cross-Border Regulatory Harmonization: International regulatory coordination efforts are reducing barriers to global financial services partnerships and ecosystem development.

Platform Economics in Financial Services

Network Effect Acceleration: Platform business models are becoming more viable in financial services as technology reduces coordination costs and enables network effect development.

Ecosystem Monetization Models: New monetization models are emerging that capture value from ecosystem participation rather than individual product sales or service fees.

Data-Driven Value Creation: Platforms that effectively leverage data across ecosystem participants create competitive advantages that are difficult for individual competitors to replicate.

Winner-Take-Most Market Dynamics: Platform economics may create winner-take-most market dynamics in financial services, similar to technology platforms in other industries.

The Role of Data and APIs

Data as Competitive Asset: Ecosystem participants who effectively aggregate and analyze data across partners create competitive advantages and network effects.

API Economy Development: The API economy in financial services is maturing, enabling more sophisticated partnership models and integration capabilities.

Privacy-Preserving Analytics: New technologies like federated learning enable data sharing and analytics across partners while preserving customer privacy and competitive information.

Real-Time Data Integration: Advances in real-time data integration enable more sophisticated partnership models based on immediate data sharing and coordinated decision-making.

Predictions for Partnership Landscape

Consolidation of Middleware: The middleware layer in financial services will continue to consolidate as companies choose between direct partnerships and technology platform strategies.

Rise of Ecosystem Orchestrators: Companies that excel at ecosystem orchestration and partnership management will capture disproportionate value even if they don't provide core financial services.

Specialization and Focus: Financial services companies will increasingly specialize in specific capabilities while relying on partnerships for comprehensive customer solutions.

Geographic Expansion Through Partnerships: International expansion will increasingly happen through partnership models rather than direct market entry, especially for regulated financial services.


Conclusion: Partnerships as Growth Strategy

The lone wolf era of fintech is over. The companies that win in the next decade will be those that build powerful partnership networks and ecosystem advantages. Banks that embrace true partnerships will compete effectively against digital natives. Fintechs that build ecosystem strategies will scale sustainably without sacrificing growth velocity.

Recent industry challenges haven't killed partnerships—they've clarified what winning partnerships look like. The dependency relationships of the middleware era are giving way to true strategic alliances based on aligned incentives, shared risk, and mutual success.

The Three Pillars of Partnership Excellence:

1. Strategic Selection: Choose Partners for Alignment, Not Just Convenience The best partnerships aren't the easiest to establish—they're the most strategically aligned. Invest time in finding partners who share your strategic vision, risk tolerance, and customer focus. Convenience partnerships rarely create lasting competitive advantage.

2. Velocity Execution: Move Fast with Proper Preparation and Frameworks Speed matters in partnership development, but not at the expense of quality. Build frameworks, templates, and processes that enable fast partnership development without sacrificing due diligence or strategic alignment.

3. Ecosystem Thinking: Build Networks that Create Compounding Value Think beyond individual partnerships to build ecosystem strategies that create network effects and compounding value. The most valuable partnerships are those that make future partnerships easier and more valuable.

"We've seen both sides—building fintech products and enabling bank partnerships. The best partnerships aren't transactional; they're transformational. When banks and fintechs align on strategy, share risk appropriately, and execute with velocity, everyone wins—especially customers."

— Darin Petty & Todd Rotolo, Chisel Leadership Team

The Partnership Imperative

The future of financial services belongs to ecosystems, not individual companies. Whether you're a bank looking to compete with digital natives or a fintech scaling sustainable growth, partnership excellence is no longer optional—it's essential for survival and growth.

The question isn't whether to build partnerships, but how to build them strategically, execute them efficiently, and leverage them for sustainable competitive advantage.

Your Next Step

Partnership excellence starts with strategic clarity. Define your partnership objectives, assess your partnership readiness, and build the capabilities necessary for successful ecosystem participation.

[CTA: Download "Bank Partnership Selection Framework"]

[CTA: Request ChiselConnect Introduction]


Frequently Asked Questions

Q: How long does it take to establish a sponsor bank relationship? A: Typical sponsor bank relationships take 6-9 months to establish, including due diligence, contract negotiation, and integration. However, with proper preparation and acceleration frameworks, this timeline can be reduced to 3-4 months for standard arrangements.

Q: What do banks look for in fintech partners? A: Banks prioritize regulatory compliance capabilities, financial stability, technology sophistication, management team experience, and clear customer value propositions. They also want partners who understand banking regulations and can adapt their solutions to bank requirements.

Q: How much does BIN sponsorship cost? A: BIN sponsorship costs vary widely based on transaction volume, card program complexity, and sponsor bank requirements. Typical costs include setup fees ($10K-$50K), monthly fees ($2K-$10K), and per-transaction fees ($0.02-$0.10). Total costs often range from $100K-$500K annually for mid-sized programs.

Q: Should we work with multiple sponsor banks? A: Multiple sponsor banks can provide redundancy and negotiating leverage but increase operational complexity and relationship management overhead. Most fintechs start with single sponsors and add additional banks as they scale. The decision should be based on risk tolerance, operational capabilities, and strategic objectives.

Q: What's the difference between BIN sponsorship types? A: Direct BIN sponsorship involves working directly with a sponsoring bank, while indirect sponsorship works through processor intermediaries. Direct sponsorship typically offers better economics and more control but requires more relationship management. Indirect sponsorship is often easier to access and faster to implement.

Q: How do we find the right banking partners? A: Start by defining your partnership requirements including regulatory needs, technology compatibility, and strategic objectives. Use industry networks, conferences, and partnership platforms like ChiselConnect for introductions. Focus on strategic alignment rather than just availability or convenience.

Q: What are typical revenue share models? A: Revenue sharing typically ranges from 10-40% depending on value contribution and risk allocation. Sponsor bank relationships often involve 70-90% revenue retention for fintechs. Technology partnerships may involve 80-95% retention. The key is aligning revenue sharing with actual value contribution and risk allocation.

Q: How do we accelerate partnership timelines? A: Use pre-approved templates, run parallel workstreams, assign dedicated resources, ensure executive sponsorship, and focus on strategic alignment before detailed negotiations. Acceleration frameworks can reduce partnership development time by 50-70%.

Q: What makes a good partnership contract? A: Good partnership contracts balance protection with flexibility. Key elements include clear success metrics, appropriate risk allocation, measurable service levels, governance structures, and fair termination procedures. Avoid over-optimization for current conditions at the expense of future flexibility.

Q: How do ecosystems create competitive advantage? A: Ecosystems create competitive advantage through network effects, customer acquisition cost reduction, lifetime value expansion, and partnership acceleration. Successful ecosystems become self-reinforcing as each new participant increases value for existing participants, creating barriers for competitors to replicate.


About the Authors

Darin Petty is Co-Founder & CEO at Chisel, leading infrastructure ownership transformation for fintechs. Connect on LinkedIn.

Todd Rotolo is Head of Growth at Chisel, specializing in fintech marketing and partnership acceleration. Connect on LinkedIn.

Want to accelerate your bank-fintech partnerships? Contact the Chisel team.

CEO & Co-Founder, Chisel Technologies
"The Fintech Infrastructure Architect"

Darin Petty is a recognized authority in composable fintech infrastructure and the CEO & Co-Founder of Chisel. 

With over 25 years of experience spanning every layer of the financial services ecosystem, from traditional banking to cutting-edge fintech platforms, Darin has built his reputation as the executive who predicted the BaaS consolidation and consistently delivers systematic, educational insights that help financial institutions and fintech companies navigate complex infrastructure decisions.

Darin Petty

CEO & Co-Founder, Chisel Technologies "The Fintech Infrastructure Architect" Darin Petty is a recognized authority in composable fintech infrastructure and the CEO & Co-Founder of Chisel. With over 25 years of experience spanning every layer of the financial services ecosystem, from traditional banking to cutting-edge fintech platforms, Darin has built his reputation as the executive who predicted the BaaS consolidation and consistently delivers systematic, educational insights that help financial institutions and fintech companies navigate complex infrastructure decisions.

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