Value arrives when people work differently
Deployment is not adoption. Tools get licensed, launched and quietly abandoned; leaders read a launch spike as a result. Meanwhile usage-based AI cost models and adoption targets tied to headcount create hesitation on the ground — people are being asked to change how they work without seeing what the change is for.
Named owners, target populations, telemetry
Every initiative carries a named adoption owner and its own target population. Change management is carried with the idea through the pipeline, not bolted on at launch. Adoption is measured from the systems of work against that population — scoped to the initiatives under management, governed by the customer’s own workforce policies, and never a surveillance tool.
A science-based engagement engine
Friendly competition, recognition and a visible record of contribution keep people returning to the problems that matter. Rewards are the customer’s; the administration is the platform’s.
What we will ask you for
- An initiative that launched well and faded.
- How adoption is measured today, if at all.
- Your policies on workforce telemetry, so the demo respects them.
The reports behind the question
- OpenAI · How AI Is Expanding What People Do at Work
- McKinsey · AI Transformations Run on Trust
- Harvard Business Review · Botsitting