How Banks Can Finally Reduce Their Karbon Footprint

Imagine being the COO of a global bank, responsible for hundreds, sometimes thousands, of people working on KYC and AML activities across multiple regions. Enormous time and cost are poured into gathering client information, chasing documents, and re‑keying data into multiple systems. Time that should be spent making better risk decisions is instead consumed by managing operational complexity.

For anyone working in KYC, this won’t sound new. But when you step back, the bigger picture is surprisingly simple: KYC is fundamentally about collecting, structuring, and assessing data so a firm can decide whether to onboard, or continue doing business with, a client.

So why does this still cost banks millions every year?

For a long time, the industry has treated KYC as a necessary but non‑differentiating function. Investment has focused on growth, products, and risk decisioning, while the more routine, operational work has been allowed to sprawl. After years of cost cutting pressure, banks are now being forced to look much harder at these inefficiencies, particularly in areas that don’t create competitive advantage.

The problem is that while KYC is widely recognised as non‑differentiated, it’s rarely been done efficiently.

Take the typical KYC analyst. Much of their day is spent researching clients and related parties, searching public sources, screening media and sanctions lists, and then manually copying that information into downstream systems. The same work is repeated across onboarding, periodic reviews, and remediation programmes - creating duplication, inconsistency, and delay.

This raises some important questions:   

• What if that effort could be reduced?   

•  What if skilled analysts could spend more time assessing risk and less time acting as data processors? 

• What if banks could achieve this while materially reducing both operational and technology costs?

This is where the conversation needs to change

Modern KYC shouldn’t be about armies of people moving data between systems. It should be about structuring data once, reusing it across the client lifecycle, and giving teams the tools to focus on judgement, not administration. Advances in data processing, AI, and automation make this possible—but only if KYC is approached as an end‑to‑end lifecycle problem, not a series of disconnected tasks.

Having spent more than 25 years working in KYC, including nearly a decade inside a global bank, I’ve seen first‑hand how deeply embedded these inefficiencies are. I’ve also seen how transformative it can be when technology, process design, and experienced practitioners are brought together under a single operating model.

At a time when banks are under intense pressure to reduce cost, improve client experience, and demonstrate regulatory control, KYC is one of the few areas where meaningful change is still achievable. 

But it requires a shift in mindset: away from manual effort and fragmented tooling, and towards intelligent client lifecycle management. If we get that right, KYC stops being a constant headache, and starts becoming a source of clarity, control, and confidence.

How Delta Capita can help

With globally available experts and scalable support, we’re ready to guide your AI and CLM transformation. Want to know more? Book a consultation and discover how we can support your AI and CLM journey today.