Navigating Core & Digital Contracts

Print Friendly, PDF & Email
CCG Catalyst Commentary

Navigating Core & Digital Contracts

December 2, 2025

In the rapidly evolving landscape of banking technology, contract negotiations for core processing and digital solutions have become increasingly complex, some of these contracts are exceeding 200 pages. Banks are under pressure to secure agreements that not only align with their operational needs but also deliver long-term value amid shifting market dynamics. I havee seen firsthand how these negotiations can make or break a bank’s strategic initiatives. While artificial intelligence (AI) is emerging as a powerful tool for contract analysis, it’s no substitute for deep market knowledge and institutional expertise, especially when dealing with contracts  valued in millions of dollars.

The High Stakes of Contract Values

These agreements are not small change. For a modest community bank, a core and digital processing contract can easily exceed a million dollars in total value, encompassing fees, ongoing licensing, and support. Scale that up to a large regional institution, and we are looking at contracts that could run into millions or more per month, factoring in transaction-based pricing, scalability add-ons, and enterprise-level customizations. Vendors know the weight of these deals, which is why they negotiate aggressively to maximize their returns while minimizing concessions.

This financial magnitude underscores the need for precision in negotiations. Overpaying by even a few percentage points can erode margins significantly over time, particularly in an era where regulatory pressures and economic volatility demand every dollar count.

The Challenges of In-House Negotiations

Some bank executives opt to handle contract negotiations internally, often viewing it as a cost-saving measure. However, this approach frequently overlooks critical market elements. Technology vendors, who negotiate these deals on a daily basis, hold a significant advantage. They craft contracts on their own “paper” using standard templates that intentionally omit many terms they might otherwise accept. This asymmetry puts banks at a disadvantage, as executives may lack insight into prevailing market pricing, acceptable concessions, and the true value of the contract from the vendor’s perspective.

Without a comprehensive understanding of industry benchmarks, banks and credit unions risk overpaying or agreeing to unfavorable terms that could hinder scalability, compliance, or innovation. For instance, core processing contracts often involve intricate pricing structures tied to transaction volumes, while digital contracts might include clauses on data security, integration, and future upgrades where vendors have honed their strategies through repeated engagements.

The Pitfalls of Long-Term Commitments in a Fast-Changing Tech World

In today’s age of rapidly changing technology, long-term contracts are rarely a bank’s ally. Signing on for 7 to 10 years, especially with exclusivity clauses, can stifle innovation and leave institutions locked into outdated systems. Flexibility is key, banks need the agility to pivot toward emerging technologies like AI-driven analytics, blockchain integrations, or open banking APIs without being penalized by rigid terms.

Exclusivity, in particular, can be a silent killer. It might seem like a way to secure favorable pricing upfront, but it often prevents banks from adopting best-of-breed solutions from multiple vendors. As fintech evolves at breakneck speed, what looks cutting-edge today could be obsolete tomorrow, trapping banks in contracts that no longer serve their strategic goals.

Leveraging AI in Contract Analysis

AI technologies are transforming how contracts are reviewed and optimized. Tools powered by machine learning can swiftly analyze lengthy documents, flagging potential risks, comparing pricing against historical data, and even suggesting alternative language. This capability is particularly valuable for identifying hidden fees, termination clauses, or performance metrics that might otherwise go unnoticed, crucial when dissecting multimillion-dollar agreements.

That said, AI’s effectiveness is limited without human oversight. It excels at pattern recognition and data processing but falls short in interpreting nuanced market dynamics. For example, AI might highlight a pricing discrepancy, but it won’t contextualize whether that rate is competitive given current vendor incentives, economic conditions, or the bank’s specific leverage points. Successful negotiations require blending AI’s analytical prowess with strategic insight to ensure the contract supports the bank’s broader goals, such as digital transformation or regulatory compliance, while building in escape hatches for future flexibility.

The Value of Retaining Specialized Expertise

To bridge this gap, banks should engage firms or advisors who possess dual expertise, intimate knowledge of market trends and a deep understanding of banking operations. These professionals can tailor contract terms to the institution’s strategy, whether it’s expanding digital channels, enhancing core efficiency, or mitigating risks in a volatile environment, while advocating for shorter terms or modular structures that allow for periodic reviews and adaptations.

Key considerations:

  • Market Pricing and Terms: Advisors benchmark against recent deals to negotiate rates that reflect true market value, often securing discounts or add-ons that vendors withhold from initial proposals, potentially saving millions over the contract’s life.
  • Vendor Value Assessment: Understanding what the contract means to the vendor, such as long-term revenue streams or strategic partnerships couldenable more balanced negotiations.
  • Operational Alignment and Flexibility: Terms must account for the bank’s unique needs, from integration timelines to service level agreements (SLAs) that support processing reliability, with built-in options for renegotiation or early exit to foster innovation.

Moreover, no negotiation is complete without legal review. While business terms drive the deal, translating them into enforceable language demands a lawyer’s precision. Interestingly, the cost of legal review should be in line with the cost of the advisory services, typically in the same ballpark for reviewing and refining a complex contract. Paying for an advisor and for attorney, the investment will pay dividends by avoiding costly pitfalls down the line, far outweighing the upfront expense in multimillion dollar scenarios.

A Balanced Approach for Optimal Outcomes

While AI offers exciting efficiencies in contract analysis, it’s essential to complement it with market-savvy expertise and legal acumen, particularly for high-value deals where long-term rigidity can undermine innovation. Banks that negotiate solo risk suboptimal results against seasoned vendors. By retaining knowledgeable advisors, institutions can secure contracts that not only meet immediate needs but also provide flexibility to thrive in an increasingly digital and dynamic banking world.

If your bank is approaching a core or digital contract renewal, consider partnering with experts who can navigate these complexities. At CCG Catalyst, we’re committed to delivering strategic insights that drive real value.

Subscribe to our Insights