AI Workforce Enablement

Your people are the AI strategy. We train leaders and teams to use AI in their real work, coach them on live delivery and grow your own trainers, so new habits last after we leave.

Talk to us See the case study

The challenge

Most people have tried AI. Few work differently because of it.

Most employees experiment with AI on their own, without training, guardrails or a way to check their work. The gap shows up as stalled adoption, hesitation about what’s safe to share, uneven quality and knowledge that stays with a few early adopters.

Adoption stalls at the surfaceUse stays limited to personal shortcuts. Confident individuals pull ahead while their teams stay where they started.
No one is sure what’s safe to shareWithout clear rules on data and tools, many people play it safe and opt out entirely.
Few people are taught to check AI outputSo quality depends on who happened to review the work.
Knowledge doesn’t scaleWith only a handful of people able to teach, new skills never spread beyond a few pockets of the business.

The opportunity

The gap is skills and habits, not software.

When teams train together on their own work, new ways of working hold when people go back to the day job.

Change how work is planned, built and reviewed, not just personal shortcuts.
Bring every role along: product, analysis, engineering and testing.
Build the judgment to know when to trust AI output and when to push back.
Grow your own trainers, so each new wave of teams is taught in-house.
Measure real adoption and changed habits, not tool usage counts.

How we help

A path from leadership briefings to your own AI trainers.

It starts with your leaders and ends with your people running the training themselves.

Executive sessions

Short, practical briefings so leaders can decide where AI belongs.

Immersive bootcamps

Multi-day, hands-on training for a whole team at once, in your own tools.

Co-planning

Each team picks real work to take through the new way of working.

Embedded coaching

Our practitioners work alongside the team on live delivery.

Cohort support

Follow-up sessions, office hours and a channel for questions after the bootcamp.

Train the trainer

Guides and facilitated workshops, so your people can run the bootcamps themselves.

What you get

A workforce that uses AI well, starting with leadership.

Leaders with the grounding to drive a change in how work gets done.
Practical use cases, mapped to where AI improves decisions, productivity and business value.
Teams trained hands-on, in their own tools and on their own work.
An enablement plan that moves teams up the adoption curve and scales the new ways of working.
Trainers of your own, with the materials to keep going.

Case study · A large North American bank

An AI-enabled operating model for a large North American bank’s delivery teams

A large bank had invested in AI tools, but its delivery teams worked the same way they always had. Over 15 weeks we trained and embedded with more than six delivery pods, put AI to work across the software lifecycle with human control gates, and left a roadmap to scale it.

15 weeks: From first bootcamp to future-state operating model
6+: Delivery pods across different domains and technology stacks
Full lifecycle: AI used from define to deploy, with human control gates

Read the case study

How an engagement works

From the first briefing to teams that train themselves.

We size each program to the number of teams and how far you want to take it.

Brief your leadersExecutive sessions on what AI can do for your business and where it belongs.
Train one team at a timeA week-long bootcamp per team, in your tools, planning real work.
Coach on live workOur practitioners embed with each team as it delivers the new way.
Hand overYour own trainers take the program forward, with our guides and support.

Questions

What buyers ask us.

Who is AI workforce enablement for?

Leadership teams, delivery teams, technology organizations, operations groups and business functions that want to move past experiments and get measurable gains from AI.

How is it different from AI training?

Training teaches people a tool. Enablement changes the way of working around it: roles, workflows, governance, quality checks and how success is measured.

How long does it take?

A bootcamp runs about a week per team. In the bank engagement on this page, the full program ran 15 weeks across more than six delivery pods.

How do you make it stick?

People use AI inside their real workflows, not in a separate training environment. Hands-on bootcamps, embedded coaching, leadership alignment and measurement turn new behaviours into everyday work.

Does it replace people?

No. The goal is to help people work at a higher level. AI takes on manual effort and repetitive tasks, while people stay responsible for judgment, context, governance and outcomes.

Our mind