A candid conversation about AI adoption, culture and knowing when to change direction, talking openly about the pilots that stalled, the tools nobody used, and what those attempts actually taught them.
In this episode of SCC Simplify, Ciara Fenton, Head of Client Solutions at Browne Jacobson, shares what the firm has learned from running AI proofs of concept at pace across a busy law firm.
Her honest reflection is that more goes wrong now than ever before. That is not a sign the programme is failing. It is a sign it is moving. The discussion explores how Browne Jacobson has built a culture where stopping a project early is treated as a result rather than a failure, and why that willingness to change direction is what separates the deployments that land from the ones that quietly stall.
What you’ll learn
- Why usability, not capability, decides whether an AI tool gets adopted or ignored, and what that means for how you design it.
- How treating internal teams as customers, lawyers included, changes the way projects are scoped and delivered.
- Why breaking a large AI ambition into smaller pieces makes it deliverable, and how to keep projects small enough to finish.
- How to run several proofs of concept at once, and how to know when to call time on one.
Whether you are a CIO, CTO, transformation lead or head of innovation, this episode offers a practical and honest view of what it takes to move AI from experiment to everyday use, and why the organisations getting value are the ones willing to pivot quickly.