Attuned motivator data runs inside 300+ companies, including
Every AI transformation is judged on adoption. Attuned shows what intrinsically motivates each team to adopt AI, and keeps colleagues talking once everyone has their own assistant.
Attuned motivator data runs inside 300+ companies, including
In an AI transformation, the algorithm is 10% of the work. People and process are 70%.
Boston Consulting Group’s 10-20-70 rule for deploying AI at scale.
AI adoption is one person using an AI tool to do the same job faster. AI transformation is every team changing the job itself: the workflow, the handoffs and who asks whom for help. Each stage stalls somewhere predictable:
| Stage | What Changes | Where It Usually Stalls | What to Measure |
|---|---|---|---|
| 1. Pilot | Volunteers test AI tools on real work | The keen few adopt, and nobody else hears about it | Who is trying it, and what drives them |
| 2. Rollout | Teams move core workflows onto AI | Week three, once the novelty fades | Usage and motivation satisfaction, by team |
| 3. Redesign | Roles, handoffs and meetings get rebuilt | People ask the AI first, and managers lose sight of who is struggling | Whether one-on-ones and team reviews still happen |
| 4. Scale | AI is part of how every team works | Adoption plateaus in teams the pitch never fit | The adoption gap by team motivator profile |
Most of your people already have a private assistant, and most brought their own: 78% of AI users at work use tools they picked themselves (Microsoft and LinkedIn 2024 Work Trend Index). So people ask the AI instead of the person next to them. Meetings get shorter, threads get fewer, and the quick question across the desk stops happening.
Those small conversations were doing real work: they were how managers noticed who was struggling, and how a team worked out who does what. Take them away and everyone adopts AI alone, and nobody notices who quietly stopped.
See why each team will, or will not, take up AI, and pitch the change to match.
Protect the one-on-ones and team reviews that AI should never replace.
An MCP connector lets each person’s assistant read what drives their teammates.
The reason a team holds off shows up in its motivators long before it shows up in logins.
Every person on the team takes one intrinsic motivation assessment that ranks 11 motivators. Roll those up and each team has a profile. A team high in Security hears “AI” as a question about their jobs. A Rationality-heavy team wants proof before it changes a habit. Autonomy-driven teams move fast when trusted, and dig in the moment you mandate a workflow.
Attuned tells each manager which of those pitches their team needs, before the tool goes live.
Illustrative team profile
A short recurring pulse shows which needs take a hit as the change moves through each team.
Big changes tend to wobble in week three, when the novelty is gone and the old way still feels safer. Attuned’s motivation-satisfaction pulse shows you which motivator is slipping on which team, while there is still time to do something about it.
Results show at team level once three people answer, so nobody is singled out and people tell the truth.
Illustrative data
The one-on-ones that survive now carry the whole relationship.
AI will take some meetings off the calendar, and good riddance. What it should not take is the one-on-one where a manager hears that someone feels replaced, or the team review where people agree who owns the new workflow.
TalkCoach, Attuned’s AI coach for managers, preps each of those conversations from what that person values: what to open with, how to frame the change, and what to leave alone this week. Every manager gets one.
Each person’s own assistant can read the motivator profiles their teammates choose to share.
MCP, the Model Context Protocol, is the open standard AI assistants use to connect to outside data. Add the Attuned connector once, and when someone asks their assistant to draft a handoff, a tricky message or a meeting plan, it already knows how the colleague on the other end is wired.
People are going to spend their day in an AI assistant either way. This way the team comes with them.
Works with MCP-compatible assistants, including Claude, ChatGPT and Microsoft Copilot.
The COO owns the adoption number. The Head of People owns how the change feels. Both work from the same team profiles and pulse.
“Being able to get to the nub of people’s underlying motivations has been very helpful.”
Kevin HalliganAssociate Director, Azon Recruitment Group · Read the story“New hires have never had a company care about their individuality in this way before.”
Josh MoogDirector of HR, Barnett Plumbing & Water Heaters, on a company-wide overhaul where every process changed · Read the storyBoth are Attuned customers using motivator data for hiring, retention and a company-wide overhaul.
Bring us the teams at the front of your AI rollout. We’ll show you what moves each of them, and how that shows up in the AI they already use.
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