The starting point
What was getting in the way.
The tools were already there. What was missing was a consistent, responsible way to use them across delivery.
Training evidence · Leadership and team training programme
A shared way to use AI from requirements to handover.
Technology services organisation. The tools were already there. What was missing was a consistent, responsible way to use them across delivery.
For functional leaders and People/L&D teams booking on behalf of a team.
Visual summary · Engineering & Product workflow
What changed
Leadership and delivery teams completed a 12-week programme grounded in their actual software-delivery work.
12 weeks
Programme
6
Practical sessions
1
Leadership Day
End to end
Requirements to handover
Published anonymously while client approval is pending. No name, logo, quote or unverified performance claim is shown.
The engagement
What we did together.
An AI Leadership Day, then six practical sessions over 12 weeks. Every session ran on the organisation's real tools and real workflows.
How the work moved
From a broad AI question to a usable answer.
Align the leaders
Start with one shared view of where AI belongs, what stays protected and what responsible use means across delivery.
Work through the lifecycle
Use six practical sessions to cover the real path from requirements and planning through build, test, review and handover.
Practise in the real environment
Run the exercises in the organisation's approved tools and against the workflows the teams already use.
Prepare the first pilots
Turn the learning into role-level ways of working, review checks and a method for selecting the first live tests.
Inside the workflow
The work we put on the table.
01
Requirements and acceptance criteria
02
Planning and context
03
AI-assisted development
04
Testing and evidence
05
Code review and governance
06
Release and handover
What they left with
Tangible work the team could use.
- 01A shared approach for leaders
- 02Ways of working defined per role
- 03Review and evidence checks
- 04Practical exercises on their own work
- 05A way to choose the first pilots
What the evidence supports
The facts we can stand behind.
- 01Leadership and software-delivery training was delivered
- 02The sessions ran in the organisation's real environment and workflows
- 03The programme covered requirements through to handover
Why this matters
The deliverable was not a library of prompts. It was a consistent way to decide where AI assists, where evidence is required and where a named person approves the work.
Evidence boundary
What this does not prove.
We are not claiming gains in speed, quality, adoption or return on investment. Those numbers only go on this page when the client has verified them.
Bring one software-delivery workflow.
Tell us which team and workflow need to change. We will recommend the right programme or say if training is not the answer.