In the 1990s, many households started acquiring consumer electronics one gadget at a time: a VCR, a DVD player, a cable box, a gaming console. Each one solved a specific need, but eventually, the tangle of cords behind the TV became a hazard in and of itself.Something similar has been happening inside community financial institutions (CFIs). Over the past decade, many CFIs have added new technologies incrementally — a digital onboarding tool here, a compliance platform there, a reporting dashboard to satisfy auditors. Each solved a real problem.The cumulative result, however, is something few planned for: rapid technology sprawl. The challenge isn’t that any single system is broken. It’s that the collection of systems has become difficult to manage, expensive to maintain, and quietly risky in ways that don’t always show up on traditional risk assessments.How Technology Sprawl Takes RootTechnology sprawl doesn’t happen overnight, of course. It develops gradually, often driven by reasonable decisions. A regulator flags a gap, prompting the institution to add a new tool. A vendor offers an appealing point solution, which is adopted. A department builds a spreadsheet because the core system can’t produce the report they need.Multiply that across lending, compliance, payments, and customer service over several years, and the result is a patchwork of overlapping platforms, inconsistent data flows, and unclear ownership. The list of potential risks and problems is almost endless.The OCC flagged operational risk, in particular, as elevated wherever tech sprawl occurs, noting that the continued use of aging or fragmented systems can increase operational outages, introduce security vulnerabilities, and reduce overall resilience.For larger banks, these challenges get absorbed by dedicated IT teams with sizable budgets. For CFIs, where resources are leaner and teams wear multiple hats, the effects of tech sprawl tend to surface faster — and with less cushion to absorb them.Third-Party Dependencies Add ComplexityTechnology sprawl isn’t just an internal issue either. A growing number of CFIs rely on third-party providers for everything from payment processing and cloud hosting to risk management and fraud monitoring. These partnerships deliver real value — access to capabilities that would be prohibitively expensive to build in-house.The Federal Reserve Bank of Boston highlights a real-world cyberattack on a technology service provider that delivered payment services to multiple banks. When the provider took its systems offline, many client institutions could not process Fedwire payments through their usual channels, and some turned to the Fed’s discount window while others tapped market funding or excess reserves to meet their liquidity needs. The episode underscores how concentrated reliance on a small number of third-party service providers for critical payment functions can create single points of failure and systemic vulnerabilities across the financial system. The takeaway for CFIs isn’t to avoid outside partnerships — that’s neither realistic nor desirable. It’s to be intentional about your provider footprint: how many partners you rely on for critical functions, how well their systems integrate with each other and your core, and whether you have clear visibility into key dependencies. In some cases, working with providers that deliver multiple, well integrated solutions can reduce the number of integration points and make oversight more manageable, as long as you actively monitor concentration and resilience risk.Why Spreadsheets and Workarounds Raise FlagsOne of the clearest signals that technology sprawl has become a problem is the presence of persistent manual workarounds. If key processes depend on spreadsheets that bridge gaps between systems — whether for loan tracking, compliance reporting, or account reconciliation — that’s not just an inconvenience. It’s a warning sign.Deloitte highlighted that many banks’ AI and digital ambitions are being hampered by brittle, fragmented data infrastructure. More than 90% of data users in banks reported that the data they need is often unavailable or takes too long to retrieve, and 81% cited data quality as a top challenge.For CFIs, these same dynamics play out on a smaller scale, but with proportionally larger consequences. Manual workarounds are often undocumented. If whoever built that reconciliation spreadsheet leaves or is unavailable, your CFI could suddenly have an unexpected knowledge gap.Treating these dependencies as warning signs (rather than business-as-usual) is a critical first step toward reducing hidden risks.How CFIs Can Solve the SprawlAddressing technology sprawl doesn’t require ripping out your entire tech stack or launching a multi-year transformation project. The most effective approach starts with visibility and builds from there.Step 1: Know What You Own Before You Add More
Many CFIs have never conducted a full inventory of their technology footprint. Without that baseline, every new tech addition is a guess layered on top of other, older guesses. The OCC's Spring 2025 Semiannual Risk Perspective flagged operational risk as elevated, noting that fragmented or aging systems can increase the likelihood of outages, introduce security vulnerabilities, and reduce resilience.What CFIs can do: Run a basic "tech census" that lists each system, its owner, its importance to daily operations, and any manual workarounds it requires, etc. This exercise alone often reveals redundancies, orphaned tools, and accountability gaps that no single person had a full picture of.Step 2: Identify Where Your Hand-Offs Break
Tech sprawl doesn't just create clutter. According to The Financial Brand, roughly half of financial institution managers and staff say outdated tech and fragmented processes hurt both the customer experience and employee productivity. The damage concentrates wherever data moves between systems: a loan file re-keyed from the origination platform into the core, a fraud alert that has to be manually cross-referenced, an onboarding workflow that stalls because branch staff can't see what a customer started online.What CFIs can do: Identify your top three to five customer-facing or risk-sensitive processes — such as account onboarding, collections, or fraud review — and map where data handoffs break down due to siloed systems. These friction points are where sprawl creates the most exposure.Step 3: Integrate Before You Accumulate
The instinct when any problem arises is to buy a new solution, but each new addition can also compound complexity. A McKinsey analysis found that banks implementing integrated automation for back-office processes achieved productivity gains of 20%-30%, not by adding more platforms, but by making existing ones work together.What CFIs can do: Before approving a new tool, ask whether an integration or automation improvement to existing systems would solve the same problem. One well-executed integration project per year (say, reducing manual re-keying between the loan origination and core systems) may deliver more value and reduce more risk than any standalone purchase.Step 4: Make Tech Decisions a Cross-Functional Conversation
Tech sprawl often grows unchecked because purchasing decisions are made in isolation within each team or department. A lightweight governance checkpoint can prevent the incremental drift that causes these problems.What CFIs can learn: Establish a regular forum where IT, risk, and business leaders review proposed tech additions against a target architecture. A simple question, like "Does this fit our stack, and does it reduce or add complexity?" can materially improve outcomes.
Step 5: Treat Complexity as Ops Risk, Not IT Annoyance
The interconnectedness of third-party service providers is a key source of systemic vulnerability, as the Federal Reserve Bank of Boston has highlighted. If complexity and fragmentation aren't visible in your risk framework, then they can't be managed, and they won't get the attention or resources they need until something breaks.What CFIs can do: Add "tech complexity" questions to your existing risk assessments and vendor reviews. Flag processes that rely on manual workarounds or single-person dependencies. When evaluating providers, prioritize those offering interconnected solutions that make integrations easier.Control the ComplexityTechnology sprawl is one of those risks that feels manageable right up until it isn’t. Every institution that has lived through a system outage, a compliance gap, or a data reconciliation crisis during an exam understands this instinctively.The good news is that CFIs don’t need massive budgets or wholesale transformations to get where they need to be with their tech stacks. What they do need is visibility, intentionality, and a willingness to treat tech investment decisions with the same discipline they apply to credit and capital. Start with a clear inventory, focus on integration rather than accumulation, and ensure someone is always accountable for how the pieces fit together.Institutions that manage their tech stacks with the same rigor they bring to their balance sheets will be best positioned not just to avoid disruption, but to move faster when new opportunities arise.
Many CFIs have never conducted a full inventory of their technology footprint. Without that baseline, every new tech addition is a guess layered on top of other, older guesses. The OCC's Spring 2025 Semiannual Risk Perspective flagged operational risk as elevated, noting that fragmented or aging systems can increase the likelihood of outages, introduce security vulnerabilities, and reduce resilience.What CFIs can do: Run a basic "tech census" that lists each system, its owner, its importance to daily operations, and any manual workarounds it requires, etc. This exercise alone often reveals redundancies, orphaned tools, and accountability gaps that no single person had a full picture of.Step 2: Identify Where Your Hand-Offs Break
Tech sprawl doesn't just create clutter. According to The Financial Brand, roughly half of financial institution managers and staff say outdated tech and fragmented processes hurt both the customer experience and employee productivity. The damage concentrates wherever data moves between systems: a loan file re-keyed from the origination platform into the core, a fraud alert that has to be manually cross-referenced, an onboarding workflow that stalls because branch staff can't see what a customer started online.What CFIs can do: Identify your top three to five customer-facing or risk-sensitive processes — such as account onboarding, collections, or fraud review — and map where data handoffs break down due to siloed systems. These friction points are where sprawl creates the most exposure.Step 3: Integrate Before You Accumulate
The instinct when any problem arises is to buy a new solution, but each new addition can also compound complexity. A McKinsey analysis found that banks implementing integrated automation for back-office processes achieved productivity gains of 20%-30%, not by adding more platforms, but by making existing ones work together.What CFIs can do: Before approving a new tool, ask whether an integration or automation improvement to existing systems would solve the same problem. One well-executed integration project per year (say, reducing manual re-keying between the loan origination and core systems) may deliver more value and reduce more risk than any standalone purchase.Step 4: Make Tech Decisions a Cross-Functional Conversation
Tech sprawl often grows unchecked because purchasing decisions are made in isolation within each team or department. A lightweight governance checkpoint can prevent the incremental drift that causes these problems.What CFIs can learn: Establish a regular forum where IT, risk, and business leaders review proposed tech additions against a target architecture. A simple question, like "Does this fit our stack, and does it reduce or add complexity?" can materially improve outcomes.
Step 5: Treat Complexity as Ops Risk, Not IT Annoyance
The interconnectedness of third-party service providers is a key source of systemic vulnerability, as the Federal Reserve Bank of Boston has highlighted. If complexity and fragmentation aren't visible in your risk framework, then they can't be managed, and they won't get the attention or resources they need until something breaks.What CFIs can do: Add "tech complexity" questions to your existing risk assessments and vendor reviews. Flag processes that rely on manual workarounds or single-person dependencies. When evaluating providers, prioritize those offering interconnected solutions that make integrations easier.Control the ComplexityTechnology sprawl is one of those risks that feels manageable right up until it isn’t. Every institution that has lived through a system outage, a compliance gap, or a data reconciliation crisis during an exam understands this instinctively.The good news is that CFIs don’t need massive budgets or wholesale transformations to get where they need to be with their tech stacks. What they do need is visibility, intentionality, and a willingness to treat tech investment decisions with the same discipline they apply to credit and capital. Start with a clear inventory, focus on integration rather than accumulation, and ensure someone is always accountable for how the pieces fit together.Institutions that manage their tech stacks with the same rigor they bring to their balance sheets will be best positioned not just to avoid disruption, but to move faster when new opportunities arise.
