What we have delivered, and how it ran.
Client work only. Client names stay private unless a client says otherwise. Illustrative demos of what the lab builds are on the lab page, labeled as demos.
86 leaders at an infrastructure consultancy, using AI on their own work.
The client and the brief
A large infrastructure project management and consulting company, with operations on three continents. Its leaders run departments such as Railways, Highways and Electrical, and the brief was to help them understand AI and put it to work inside their own departments.
We trained 86 leaders at AVP level and above.
What it shows: we can design a practical AI program for senior leaders, deliver it across a distributed organization, and keep it going after the workshop. It is a training engagement; we will add advisory and lab case studies here as clients agree to share them.
How it ran
The sessions were hands-on working sessions. Each leader brought their own work: a substantial document to get through, a recurring writing task, and a live decision. Before anyone started, the group agreed a set of rules for input and output safety, covering what may go into an AI tool and how its output is checked.
Sessions ran in working groups, with a remote option for leaders in other countries. After the workshop, twice-weekly drop-in sessions began to unblock people as they put AI into real use, and those are still running.
What leaders build
The program's use-case library, by function, shows the kind of thing leaders build in their departments:
- Everyday AI use. Deep research on competitors and new geographies, and first drafts of dashboards and presentations.
- Personal workflows. A weekly department brief from data and notes; a long report or board pack turned into an executive brief with implications and challenge questions; an "interview me" pattern for recurring memos and reviews; a decision stress-test with a pre-mortem; a one-page meeting prep.
- Team adoption practices. An "AI minute" in staff meetings, a team prompt-share channel, an AI first draft as the norm for one named recurring document, and one delegated task per direct report each month.
- Business initiatives. A regulatory or market horizon scan, findings and incidents grouped into root-cause themes, supplier and vendor risk briefs, and first drafts of proposals with a compliance matrix. Each one is scoped with an owner, a value hypothesis and a first step.
How it landed
Participants rated the workshop 4.3 out of 5. The feedback that came up again and again was that it was an eye opener on what AI can do beyond being a search engine or an email drafter.
The program behind it is our AI-Native Leadership Program.
What a build looks like.
The lab page shows illustrative demos for agents, computer vision and machine learning, which are not client deployments: a sales agent on WhatsApp, a release safety test suite, a tool-break event log, a store floor dashboard and churn scoring. They use made-up data, to show what a deliverable looks like.
Client names and figures from other engagements are shared on request, under NDA.
Want a program like this for your leaders?
Start with a free advisory session, or go straight to the training page to see the tracks and send an enquiry.
Book a free advisory session