Why
Do we know why?
Whether people understand the reason for the change and can see where they fit in it.
Human readiness for AI transformation
Four relationships decide whether an AI change holds. We build them through understanding, development and coaching.
Do we know why?
Whether people understand the reason for the change and can see where they fit in it.
Are we in this together?
Whether people believe the change is being led honestly and with their interests in mind.
Can we work with the AI?
Whether people can weigh what the AI gives them and know when to question or override it.
Has the work changed?
Whether roles, workload and expectations have actually shifted to match the new way of working.
of frontline employees at large organisations use AI regularly
BCG · AI at Work 2026
of organisations can prove an established return
KPMG · Global AI Pulse Q2 2026
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.
Both of the first two matter, and neither tells you whether the organisation can sustain what it's built.
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.
Is it creating business outcomes? Productivity, cost, revenue.
Business cases tracked against the numbers that matter, from efficiency gains to new revenue.
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.
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 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.
The same instrument, run again, so the question of whether anything moved gets an answer rather than an opinion.
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.