Why Banks Need to Think Like Publishers

Paul Lyon
Chief Marketing & Communications Officer, FinregE

Financial institutions have invested billions in technology to understand regulation more quickly. Far less attention has been paid to what happens once that regulation has been interpreted. As artificial intelligence reshapes financial services, the institutions that manage knowledge with the discipline of a publisher may gain the greatest advantage. Paul Lyon, Chief Marketing & Communications Officer of FinregE, reports.

Walk around the headquarters of any major bank and there is little to suggest you are standing inside one of the world’s largest publishing operations. There are no editors’ desks, no morning conferences and no front pages waiting to be signed off. Yet few organisations generate more written material. Every regulatory change sets off a chain reaction of revised policies, governance papers, customer disclosures, operating procedures, committee packs, control frameworks, training materials and audit evidence. Much of it never leaves the organisation, but almost all of it matters.

That output has grown steadily over the past two decades without attracting much attention. Documents are created because regulation requires them, governance demands them or supervisors expect them. They are rarely viewed as strategic assets. More often they are treated as evidence that something has been done. That distinction is becoming increasingly difficult to sustain as regulatory change accelerates and firms are expected to demonstrate, often at short notice, exactly how new obligations have been interpreted, implemented and embedded across the business.

Regulation does not end with interpretation

Much of the debate around regulatory technology is concerned with finding new rules more quickly or applying artificial intelligence to speed up analysis. Those developments are important, but they address only the beginning of the process. Identifying a regulatory obligation is one thing. Translating it into business practice is something else entirely.

Every new requirement sets a longer process in motion. Policies need updating. Procedures change. Controls are reviewed. Customer communications may need rewriting. Training has to be refreshed. Governance committees require papers. Internal audit will eventually ask for evidence. By the time that exercise is complete, the original regulatory text has been transformed into hundreds of individual decisions spread across the organisation.

Success depends less on whether a firm has read the rule than whether everyone is working from the same understanding of it.

Publishers have wrestled with comparable problems for decades. Readers need confidence that information is accurate, current and authoritative. That requires clear ownership, rigorous editorial standards, disciplined version control and robust approval processes. Financial institutions increasingly face the same challenge, even if they describe it in different language.

AI is exposing an older weakness

Artificial intelligence has brought fresh urgency to the issue, although not for the reasons usually discussed. Most attention has focused on what generative AI can create. The more significant question is what it is creating from.

Large language models are exceptionally good at retrieving and synthesising information. They are considerably less forgiving when the underlying material is inconsistent, duplicated or poorly governed. Conflicting policies remain conflicting policies. Outdated guidance remains outdated guidance. AI does not remove those weaknesses; it reveals them.

Recent industry research points in the same direction. Deloitte’s 2026 State of AI in the Enterprise found that organisations increasingly see knowledge management and data quality as central to successful AI adoption, even as investment continues to rise. Its Financial Services Regulatory Outlook reaches a similar conclusion, identifying governance and regulatory compliance among the principal barriers to scaling AI across financial services. The technology is advancing quickly. Organising institutional knowledge has proved a more stubborn challenge.

The problem is not a shortage of information. It is, in fact, quite the opposite. Large financial institutions possess vast quantities of it, accumulated over decades. Different business units maintain different versions of the same guidance. Interpretations evolve while supporting documentation fails to keep pace. New material is created more readily than obsolete material is retired. Over time, complexity becomes self-perpetuating.

Knowledge deserves a seat in the boardroom

Before moving into corporate communications for major banks and then regulatory technology firms, I spent seven informative years as a financial journalist. One lesson has remained remarkably consistent from that time. Organisations rarely fail because they lack information. They fail because important information becomes fragmented, contradictory or difficult to navigate. Newsrooms, interestingly, learnt long ago that producing content is only half the job. Governing it is the other half.

Financial institutions are, finally, arriving at much the same conclusion. Every bank has access to the same regulatory publications. And every insurer can read the same consultation papers. Competitive advantage no longer comes from obtaining information before anyone else. It comes from deciding more quickly what that information means, embedding those decisions consistently across the organisation and demonstrating that they have been implemented.

The industry has, of course, spent much of the past decade talking about digital transformation. But the next phase may depend on something rather less fashionable. Institutions that treat knowledge as a governed asset rather than an administrative by-product are likely to adapt more quickly, make better decisions and extract greater value from the technologies now reshaping financial services.

The publishing industry learnt that lesson many years ago. Banking is only beginning to wake up to it now.

How FinregE Can Help

Transitioning from a traditional data repository to a “publisher” mindset requires a blend of regulatory expertise and technical precision. FinregE helps financial services and corporates firms bridge this gap by implementing robust knowledge management frameworks that ensure your internal intelligence is structured, governed and AI-ready. From establishing AI governance protocols to optimising how regulatory knowledge is captured and distributed, we help you turn fragmented information into a strategic asset.

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