The challenge
The bank had no shortage of data or talent. What it lacked was a shared language between the people who ran the business and the people who ran the technology. AI and analytics were on every agenda, but conversations stalled in jargon and good intentions rarely turned into decisions.
Leadership needed to move from cautious to confident — without being talked down to.
What we did
We ran a series of working sessions designed to meet senior leaders where they were.
- Framed AI and data in the language of the business, not the language of the lab.
- Used real, relevant examples so the room could see the opportunity in their own operations.
- Facilitated each cohort to surface its own priorities, rather than handing down a generic roadmap.
- Sent every team away with a concrete, owned action plan they could actually execute.
We were the translators in the middle — speaking both languages and holding both sides to account.
The outcome
The mood in the room shifted. Leaders who’d been wary of AI started connecting the dots for themselves, spotting opportunities and asking sharper questions.
Crucially, the momentum outlasted the sessions. Because each team built its own plan, the work continued without us in the room.