
I was recently commissioned to write a few blogs for WNS, part of Cap Gemini. The posts are interesting so I'm sharing them here. Click on the headline links to read the full articles:
Can AI Turn Regulatory Overload into Competitive Advantage in Banking?
Regulation in banking is exploding, and most banks are handling it badly – layering new rules onto fragmented systems, creating slow, manual, and disconnected compliance processes.
The argument is that AI can fix this, but only if it’s used to unify data, workflows, and decision-making across the bank – not just automate isolated tasks. Today’s biggest issue is data fragmentation, which makes compliance reactive and inefficient.
Banks that get this right turn compliance from a cost into an advantage – becoming faster, more efficient, and more trusted. In short: AI shifts compliance from a burden to a competitive edge.
AI Alone Won’t Make Banks Intelligent – The Operating Core Will
AI on its own won’t make a bank intelligent. The real transformation happens in the operating core – the back-office systems, data, and workflows that actually run the bank.
Most banks already have plenty of data, but it’s fragmented across legacy systems. That means AI can’t deliver real value because it has nothing clean, connected, or real-time to work with.
The breakthrough comes when banks unify that data into a real-time, shared “Customer 360” and connect operations like lending, payments, compliance, and reporting into one continuous workflow. At that point, the back-office stops being a cost centre and becomes the “engine room” of intelligence.
AI then adds value by automating and orchestrating decisions across this core – turning batch processing into real-time, predictive banking, where services are proactive, personalised, and seamless.
Re-thinking the Mortgage Operating Model in the Era of Open Banking
Open banking is fundamentally reshaping mortgages – from a slow, linear, bank-controlled process into a fast, API-driven ecosystem involving fintechs and third parties.
The problem is that most banks haven’t adapted. Mortgage journeys are still fragmented creating delays, friction, and poor customer experiences.
The opportunity is to redesign the operating model around orchestration. Using open banking data and APIs, banks can automate income verification, affordability checks, and risk assessment in near real time, turning weeks into minutes.
The winners won’t just digitise mortgages – they’ll rewire the process into a connected, end-to-end ecosystem that is faster, simpler, and far more customer-centric.
Chris M Skinner
Chris Skinner is best known as an independent commentator on the financial markets through his blog, TheFinanser.com, as author of the bestselling book Digital Bank, and Chair of the European networking forum the Financial Services Club. He has been voted one of the most influential people in banking by The Financial Brand (as well as one of the best blogs), a FinTech Titan (Next Bank), one of the Fintech Leaders you need to follow (City AM, Deluxe and Jax Finance), as well as one of the Top 40 most influential people in financial technology by the Wall Street Journal's Financial News. To learn more click here...

