← Back to home

AI training & capability building

Build the skills
to do the work.

A company-wide capability programme that can also be delivered to individual teams. A competency diagnostic sets the starting point, then cohorts progress from AI foundations to advanced agentic AI, using your own workflows.

For: Leadership teams, functional teams and people leaders.

Discuss a training programme → How we work

The programme

Four stages, from diagnostic to agentic AI.

The diagnostic determines the starting point. One team may need foundations while another is ready for advanced agentic AI.

1

AI competency diagnostics

Assess individuals and teams across practical AI use, output evaluation and verification, workflow integration and responsible use. Results mapped by role, team and proficiency.

What you get

A baseline of current capability, recommended learning cohorts and a training plan aligned to business priorities.

2

AI foundations

Build confidence with approved tools, effective prompting, output checking, safe data handling and everyday tasks.

What you get

Teams that can apply AI to routine work and check the quality of what it produces.

3

Applied AI for business teams

Hands-on workshops using workflows from finance, commercial, operations and HR. Successful exercises become reusable prompts, templates or documented workflows.

What you get

Practical ways of working that teams keep using after the training.

4

Advanced agentic AI

Design and test multi-step workflows that use tools or approved data sources, covering permissions, evaluation, exception handling and human approval.

What you get

A tested workflow or prototype with clear controls and criteria for wider use.

How cohorts are organised

Grouped by role and proficiency.

By role

Leaders, functional specialists and people managers learn on the workflows they own.

By proficiency

Cohorts move at the right pace, so beginners and advanced users both progress.

By priority

Training aligns with the business priorities identified in the diagnostic.

Measuring progress

Evidence that capability is growing.

Illustrative measures, agreed with each client.

Demonstrated proficiency

Re-assessment against the diagnostic baseline.

Workflow adoption

Use of new prompts, templates and workflows in real work.

Time saved

On routine drafting, analysis and reporting tasks.

Fewer errors

Through better output checking and verification.

Ready to build AI capability across your teams?

A short conversation about your teams, their starting point and your priorities.

Discuss a training programme →