There’s a clear pattern emerging across financial services. Shareholders expect AI to reduce cost. Leaders want to move beyond pilots. Delivery teams are under pressure to scale.
But there’s an uncomfortable truth. The hype around AI is driving poor decisions, and they’re expensive.
In some cases, it risks firms concluding the technology doesn’t work at all. Nowhere is this more evident than when AI is applied to processes that haven’t been properly fixed.
The industry is investing heavily in AI, yet only a small proportion of firms are getting real value from it. Fewer still are deploying autonomous use cases in production and more concerning, many admit they don’t fully understand the AI they’ve deployed.
Using AI isn’t the same as getting value from it and pursuing fully autonomous agents is the wrong objective for most firms.
The adoption gap no one talks about
Markets assume that because the technology exists, benefits can be realised quickly. That isn’t how UK financial services works, especially in core operations.
There are real constraints:
- regulatory oversight
- legacy platforms
- fragmented data
- limited delivery capacity
Those don’t disappear because the technology improves.
There is also a growing gap between what vendors can demonstrate and what firms can safely put into production. Most AI commentary ignores that gap. Delivery teams deal with it every day.
The wrong starting point
AI is often positioned as a step change. End-to-end automation. Fewer people. Faster outcomes.
It plays well with investors and boards, but if the underlying process is inconsistent, fragmented and poorly controlled, AI amplifies the problem.
You don’t get a cleaner outcome. You get a faster, less predictable one.
The issue is sequencing. Most firms are putting AI before automation, which means they’re layering intelligence on top of processes that lack structure, control and consistency. Get that wrong and AI becomes an expensive failure.
Where this series is going
The problem isn’t AI. It’s where and how it’s being applied.
The rest of this series focuses on three areas:
- why automation is the unsexy necessity that most firms overlook
- where AI actually adds value
- why cost and orchestration matter more than capability over time
If any of this resonates, come and talk to us at Simplify Consulting.
Chris Moore
Head of Solution Architecture
