What the work has produced so far.
Organisations Trained
Participants Trained
Programs
Functional Tracks
What changed, before and after.
From our post-training surveys, across 350 participants.
43% increase in AI confidence
Participants rated their confidence across ten core Copilot skills 43% higher immediately after training, up from 2.8 to 4.0 out of 5.
Where does AI slow your organisation down? And where should it?
The Human-AI Friction Index measures friction wherever people meet AI: the rules, the tools, and the way work gets done. Some friction protects you. The rest is drag.
Three sides, one balance
- ControlCan you show what AI is doing, who owns it, and where the boundaries are?
- CapabilityCan your people use AI with competence and judgment?
- ChangeHas AI entered how teams actually work?
- Value, at the centreDid a workflow measurably improve, and does the benefit survive the cost of control?
Five patterns. Which one is yours?
Control and Capability place you on the map. Only Change, in balance with both,
takes you into the corner. Tap any pattern to see what it means and the next move.
GuardedHigh Drag
Control ahead of Capability
Balance
Value is the scorecard. It compounds only when all three sides are strong and in balance.
Capacity Dividend
AI releases hours. Are yours redirected on purpose, or left unclaimed?
- Released
- Staff using AI × hours saved per person per week × working weeks a year
- Claimed
- Reinvest + Absorb + Release
- Unclaimed
- Not tracked + absorbed into the same work
Capacity is not return. It becomes value only when someone redirects it on purpose.
How it works: a short check. Your pattern on screen straight away. A full report by email, reviewed by a Nexor consultant.
Take the Human-AI Friction Index Web CheckThe Web Check is self-reported. The Human-AI Friction Index Assessment verifies it.
Training first. Governance and change to make it stick.
Role-based programs built on your own work, backed by AI governance and change management so the capability holds up in real work.
Practitioners first. Consultants second.
We sit inside your workflows and build with your team, not a deck and a handoff.
In your systems
We work on your actual tools and data, not a sandbox demo that never ships.
We use it first
Every method we teach, we run inside Nexor first.
Capability stays with you
The goal is a team that can run and extend this without calling us back.
Build AI capability you can control.
“We don’t sell hype. We deliver capability.”
