Anyone who’s sat through a strategic planning meeting lately knows the feeling. Innovation isn’t optional anymore. Knowing that doesn’t make it any easier to act on.
Operations teams surface real needs constantly: a loan origination system that doesn’t feel like it was designed in 2005, digital banking that doesn’t make members squint at their phones, and account opening that doesn’t take three branch visits. Every one of these requests is legitimate. Nearly every one hits the same wall: integration. The timeline stretches. The budget grows. The vendor says it’s technically possible, IT agrees, but nobody can say when.
The problem isn’t a lack of vision or ambition. It’s that connecting systems and implementing new solutions has quietly become the real bottleneck, and speed to market increasingly decides who wins.
When it takes 18 to 24 months to implement a new fintech solution, FIs lose ground to competitors who can move in weeks.
Most of this traces back to how systems are connected in the first place.
The Frankenbank Problem
Most banks and credit unions run dozens of systems: core banking, loan origination, digital banking, CRM, branch technology, payment processing. Each was added to solve a specific problem, and each typically connects to the core through its own custom, point-to-point integration.
The industry has a name for what results: the “Frankenbank.” Systems that work fine in isolation but rarely communicate with each other. A change of address in one place doesn’t update anywhere else. Members get asked for information the institution already has. And every new custom connection widens the attack surface while adding to a maintenance burden that, according to Accenture’s 2026 Banking Trend Report, now consumes nearly 70% of IT budgets.
The most consequential cost shows up later. If the institution ever wants to change cores, or absorb an acquisition, it faces rebuilding every integration from scratch. That switching cost, more than the technology itself, is often what decides the next five years of strategy.
Three Paths to Integration, Different Long-Term Costs
Institutions generally take one of three approaches to connectivity, and the differences compound over time.
Point-to-point custom integrations are the traditional model most institutions still run today. It’s familiar, but it’s also what builds the Frankenbank: fragile connections, one-way data flow, and vendor choice limited to whoever already has a connection to your core.
Integration platforms (DIY middleware) promise an easier path: better tooling to build and manage connections centrally. In practice, the institution still owns every integration and every maintenance cycle. The complexity moves from professional services fees to platform licensing and internal expertise. It rarely shrinks.
An enterprise connectivity layer flips where the burden sits. A provider builds and maintains a normalized layer between the institution’s systems, handling vendor integrations, core connections, and API changes centrally. Systems connect once and communicate with everything else through that layer, bidirectionally and in real time.
The practical difference shows up fastest in how long things take.
Adding a new solution can run 9 to 24 months with point-to-point integration, versus weeks through an enterprise connectivity layer.
Switching cores means rebuilding everything in the first model; in the third, the provider handles the remapping.
And critically, only a connected, bidirectional data layer creates the foundation AI actually requires. Siloed data, no matter how much of it there is, isn’t usable data.
Evaluating Your Options
There’s no universal right answer here. The right approach depends on your institution’s strategic priorities, resource reality, and growth plans. A few questions worth bringing into that conversation:
Innovation & growth
- How many new fintech solutions do you need to implement in the next 12 to 24 months?
- What’s the cost of waiting 18 months to launch something while competitors move faster?
- How does integration complexity limit your vendor selection today?
Resource reality
- Do you have the internal talent for ongoing core banking integration work, or backlogged projects already weighing on your team?
- Can you afford $250K to $1M annually in professional services, indefinitely?
- What happens to integration maintenance when the person who understands it leaves?
Core strategy
- Are you considering a core conversion in the next 3 to 5 years, or want the flexibility for one?
- How much would it cost to rebuild every integration if you switched cores tomorrow?
- Are you staying on your current core because it’s the right fit, or because switching feels too painful?
System intelligence and speed
- Do you need your systems to talk to each other, or just to the core?
- Should your mortgage team be notified automatically when someone originates a loan?
- How many fintech partnerships have stalled because integration was too complex or expensive?
Security
- How many direct connection points do you have into your core today?
- Who manages security updates when a vendor changes its API?
- How do you ensure consistent security policies across every integration you have?
If your answers point toward faster innovation, more vendor flexibility, or reduced strain on IT, your current approach may be limiting your FI’s future more than it’s protecting it.
Ready to Go Deeper?
This is a snapshot of a much fuller framework. For a closer look at the three approaches, the M&A and AI implications, and a complete set of questions to bring to your own evaluation, read the full Banker’s Guide to Digital Connectivity.
