Human readiness for AI transformation

AI transforms your business. We transform the humans it depends on.

Four relationships decide whether an AI change holds. We build them through understanding, development and coaching.

What we measure

Four relationships decide whether an AI change embeds.

Pillar 01

Why

Do we know why?

Whether people understand the reason for the change and can see where they fit in it.

Pillar 02

Trust

Are we in this together?

Whether people believe the change is being led honestly and with their interests in mind.

Pillar 03

Judgement

Can we work with the AI?

Whether people can weigh what the AI gives them and know when to question or override it.

Pillar 04

Work

Has the work changed?

Whether roles, workload and expectations have actually shifted to match the new way of working.

The state of play
74%

of frontline employees at large organisations use AI regularly

BCG · AI at Work 2026

7%

of organisations can prove an established return

KPMG · Global AI Pulse Q2 2026

48%

of the difference in AI value capture is accounted for by organisational readiness

McKinsey · Three Horizons 2026

Adoption is the solved part. The return depends on whether the organisation is ready.

The measurement gap

Organisations already measure two layers. There is a third.

Both of the first two matter, and neither tells you whether the organisation can sustain what it's built.

Layer 01

Adoption

Everyone measures this

Are people using AI? How often, where, at what cost.

Usage dashboards and licence counts, rolled up and reported at every level of the organisation.

Layer 02

Value

Most measure it, few can attribute it

Is it creating business outcomes? Productivity, cost, revenue.

Business cases tracked against the numbers that matter, from efficiency gains to new revenue.

Layer 03

Relationships

Nobody measures this

Are the relationships that decide whether the change embeds actually functioning?

Whether people know why the change is happening, trust how it is being led, and can work alongside the AI itself.

How it works

Measure, work, re-measure. The loop is the product.

the unmeasured path ahead
Reading one

Measure

Everyone answers, async and anonymous. Role and team are captured, because the gaps between layers are the diagnosis. The report locates where the system is breaking.

The work

Work

The gap names the track. We do the development work with the leadership team, the managers, or the people doing the job, depending on where the break is.

Reading two

Measure again

The same instrument, run again, so the question of whether anything moved gets an answer rather than an opinion.

Draw the boundary.

If your organisation is inside an AI change and the numbers you have don't tell you whether it's landing, that's the conversation we want.