TEACH · Capability Challenge

Team AI Readiness

Paying for AI tools your team does not use is not a neutral cost - it is a signal that something structural needs to change.

Book a Free 30-Min Discovery CallSee How We Help

The Problem

What this looks like

  • •The Microsoft 365 Copilot licences are active. The ChatGPT team account is paid. Someone ran a training session six months ago. And yet, when you look at how the team actually works day to day, the tools have changed nothing. Reports are still written the same way. Meetings produce the same outputs. Engineers are still doing work manually that could be automated.
  • •This is not a technology access problem. Every member of your team has access to AI tools. It is a capability and confidence problem. People do not know what good AI-assisted work looks like for their specific role. They have tried prompting, found it inconsistent, and gone back to what they know.
  • •The gap widens every month. The teams building AI fluency now are accumulating an advantage that compounds. The ones waiting for a better moment are not waiting - they are falling behind.

What it costs you

  • •Generic AI training does not stick because it is not connected to the actual work people do in their role.
  • •Leaders and engineers need different things from AI - a single programme serves neither well.
  • •Internal champions burn out trying to evangelise tools without a structured programme behind them.
  • •"We will do it when things slow down" is the plan. Things do not slow down.

The real risk

AI spend without capability change compounds into strategic lag.

Our Approach

Our approach is sequenced by pillar:

1

THINK

We start with Foundation - one day for every role. Not general AI awareness. A structured session that gives people an accurate mental model of what AI can and cannot do, calibrated to their actual work. After Foundation, sceptics understand the technology well enough to engage with it honestly. Enthusiasts understand it well enough to use it safely.

2

TEACH (Leadership track - AI Leadership Programme)

Leaders take the Leadership track: how to direct AI investment, evaluate vendors, govern AI-generated outputs, and build internal capability over time. This is the programme that turns AI from something the team does into something leadership can actually manage.

3

TEACH (Engineering track - AI Engineering Programme)

Engineers take the Engineering track: LLMs, agents, AI-native development practices, and how to maintain AI-assisted codebases. Not prompt engineering theory - applied AI for people who write and ship software.

4

TEACH (scale - AI Change Enablement Programme)

For organisations ready to move beyond programme completion to embedded capability, the AI Change Enablement Programme delivers organisation-wide AI adoption at scale: sequenced by role, tracked, and adjusted based on what is actually changing in how people work.

Expected Outcomes

At programme completion
All participants able to use AI tools accurately in their role
Engagement deliverable - Fognini Tech
Market context
88% of organisations now use AI in at least one business function - teams without structured capability fall behind peers who do
McKinsey State of AI 2025, Nov 2025 →
Benchmark
For every dollar spent on AI model development, plan three dollars on change management
McKinsey, From Promising to Productive, Aug 2024 →

Paying for AI tools your team does not use is not a neutral cost - it is a signal that something structural needs to change.

The teams building AI fluency now are accumulating an advantage that compounds.

Book a Free 30-Min Discovery CallTake the AI Readiness Self-Check

Frequently Asked Questions