The Peer Blind Spot: Why Bank Innovation Teams Cannot See What Comparable Institutions Are Actually Doing
- Jun 12
- 6 min read

In January 2026 the ECB published its supervisory priorities for 2026 to 2028. For the first time in five years, the list shrunk from three priorities to two: resilience to geopolitical and macro-financial risk, and operational resilience anchored in ICT capabilities. A few weeks later, on 23 February 2026, the EBA released a follow-up peer review on ICT risk assessment under SREP, measuring how consistently competent authorities are applying the framework across Member States.
The signal here is not the priorities themselves. The signal is that every prudentially significant bank in Europe is now being formally benchmarked against its peers on operational resilience, AI strategy, and governance maturity. Supervisors will compare, score, and increasingly intervene based on what comparable institutions are doing. The peer reference point is becoming a regulatory artefact.
There is only one problem. The peers themselves remain almost entirely invisible to the people inside the bank whose job it is to learn from them. Innovation leads, heads of strategy, transformation directors, and the CIO office can read the dashboards, the speeches, and the peer review reports. What they cannot see is which AI pilots a comparable mid-sized European bank quietly killed last quarter, which payment modernisation project slipped twelve months, which vendor a competitor walked away from after a six-month POC, and which two new platforms a peer in another market is now running in production.
This is the peer blind spot. And it is widening.
The Problem: Why This Is Harder Inside a Financial Institution Than the Headlines Suggest
Peer benchmarking sounds simple. In practice it is one of the hardest jobs inside a bank. Four pressures combine to make it so.
The first is regulatory weight. A senior team at any SSM-supervised bank is now reading the new ECB priorities, the latest EBA risk dashboard, DORA implementation guidance, AI Act obligations, PSR and PSD3 evolution, and FIDA preparations all at once. MiCA is in force in parallel. Each one creates a new compliance workstream, and each one quietly competes for the same team that is also supposed to be evaluating innovators.
The second is delivery pressure. Innovation teams are not staffed for horizon scanning. They are staffed for delivery: an instant payments migration, an ISO 20022 cutover, a fraud model refresh, a vendor consolidation, a core banking decision that has been deferred twice already. By the time a transformation director has cleared the day's escalations, the energy left for peer research is close to zero.
The third is peer opacity. Banks talk publicly about success and rarely about failure. Press
releases name go-lives, not killed POCs. Conference panels feature the same five names. Analyst reports lag the market by twelve to eighteen months. The peer behaviour that would most help a decision-maker, namely what comparable institutions have stopped doing and why, almost never reaches them.
The fourth is internal stakeholder complexity. Even when good peer intelligence does arrive, surfacing it inside the institution is a political act. Naming a peer that has gone further can make a sponsor defensive. Naming a peer that has retreated can be read as a covert recommendation. The path of least resistance, for many innovation leads, is to stay quiet about peer behaviour and frame every recommendation as if it were generated internally.
The result is a strange paradox. Supervisors are benchmarking banks against their peers more aggressively than ever. Banks themselves have less visibility into peer behaviour than they did five years ago.
Common Approaches and Their Trade-Offs
Most institutions try to close the gap with one of four approaches. Each has serious limits.
Analyst subscriptions are the most common. Gartner, Forrester, Celent, Aite-Novarica, and McKinsey publish solid material, and most banks subscribe. The trade-off is publication lag. Analyst reports tell you what was happening eighteen months ago, presented as the state of the market. They are excellent for direction. They are poor for live peer behaviour.
Vendor briefings are the second route. The vendor will tell you, eagerly, what other banks are doing on their platform. The trade-off is selection bias. You hear about the wins, not the churn. You hear about the references that agreed to talk, not the three banks that quietly stopped renewing. The peer picture is real but partial.
Industry conferences are the third. A senior team flies to a flagship event and listens to keynotes. The trade-off is signal-to-noise. The most useful conversations happen at coffee, not on stage. The keynotes are managed, the panels are choreographed, and the people you most want to hear from are usually the ones who declined the speaker slot. Conference travel is also one of the first budget items to be cut under delivery pressure, which means the senior staff who most need peer exposure are the ones least likely to get it.
The fourth route is informal networks. A transformation director phones a counterpart at another bank. This works, but it is fragile. It depends on personal relationships, geographic clustering, and the time to keep the network alive. It rarely extends across regulatory regimes. A bank in Frankfurt benchmarking only against banks in Frankfurt is missing most of the peer signal that matters.
None of these approaches is wrong. The trade-off is that none of them, on their own, give a senior team a reliable, current, cross-market picture of what comparable institutions are actually adopting, where they are pausing, and what is now real versus still a pilot.
A Smarter Route: Treating Peer Benchmarking as a Designed System
The institutions that close the peer blind spot best treat peer benchmarking as a system, not a habit. The system has four characteristics.
It is curated rather than crowdsourced. A small number of trusted formats produce most of the value. Information flows through people who have already filtered for relevance, accuracy, and timing.
It is bidirectional. The senior team contributes its own perspective, and that contribution earns them access to other people's. Peer benchmarking that is purely extractive does not scale.
It is cross-market by design. A bank in the Netherlands benchmarks not only against Dutch peers, but against comparable institutions in the Nordics, the DACH region, France, and Iberia. This is where the most useful signal sits, because regulatory and competitive timing differs across markets.
It is editorial, not transactional. The format that works best is one that produces structured peer intelligence on a predictable cadence, not one that demands a calendar block and a flight.
This is the gap that The Connector exists to close. The Discovery Innovation Meeting brings a senior team from a financial institution into a designed, two-hour conversation with a short list of pre-vetted innovators, with peer banks observing or participating in parallel sessions. The Peer Forum format puts heads of strategy and innovation from non-competing institutions in the same room, under Chatham House rules, to compare what they have actually deployed, paused, or killed. The Roundtable format does the same on a specific theme, such as agentic AI in compliance or instant payments resilience, with the buyer side clearly in control of the agenda. Finance X Magazine then turns the most useful patterns into editorial that a senior team can read at their desk, without leaving delivery work behind.
None of these are pitches. None of them sell the innovator. They are designed so that peer behaviour, which is normally hidden, becomes visible to the people who most need to act on it.
Why This Matters Right Now
Three forces make 2026 the year peer blind spots stop being tolerable.
The first is supervisory. The ECB priorities for 2026 to 2028 are explicitly peer-driven. Banks are being assessed against comparable institutions, not against an abstract standard. The bank that has no internal view of its peers will be told what its peers are doing by its supervisor, which is the worst possible direction for that information to flow.
The second is regulatory timing. DORA is in enforcement. PSR and PSD3 are moving through the legislative process. The AI Act has obligations stacking up across 2026 and 2027. MiCA is active. FIDA is approaching. Every one of these creates a buying trigger or a delay trigger that varies by market. A senior team that cannot see how peers in other jurisdictions are sequencing their response will sequence its own response wrong.
The third is the quiet retreat of the offsite. Travel budgets are tighter. Internal stakeholder pressure on senior teams is heavier. Vendor days, supplier roadshows, and even large flagship conferences are being cut, deprioritised, or attended by junior staff. The senior people who most need peer exposure are the ones least likely to be in the room. Editorial and curated formats are the only realistic substitute, and they have to do more of the work than they used to.
Closing Thought
Peer benchmarking is not a research exercise. It is an early warning system. The institutions that build it well make better build, buy or partner decisions, sequence regulatory work more confidently, and waste less time on vendor evaluations that comparable peers have already finished.
The institutions that do not build it well will keep finding out what their peers are doing from the supervisor who has already benchmarked them. That is not a position any innovation lead, head of strategy, transformation director, or CIO office wants to be in twelve months from now.
If the peer blind spot is widening inside your institution, the question to ask is not whether you need more information. The question is whether the information you are getting is current, cross-market, and trustworthy enough to act on. If the honest answer is no, that is the gap worth closing first.



