RCM ThinkLabs is the human capability layer for AI transformation. People play immersive micro-sessions of a few minutes a day, built on MIT game-theory research, and make real calls inside a continuing story. Leaders get a measured record of how each person's judgment changes over time across three capabilities: specification, verification and conviction.
At a glance
| Capability | Attensi | RCM ThinkLabs |
|---|---|---|
| What it is | A skills practice platform: AI role-play, simulations, authoring and analytics | The human capability layer for AI transformation |
| What people practice | Conversations with AI characters, frontline processes and scenarios | Judgment calls inside a continuing story |
| How it is built | Content authoring with AI help | Capabilities agreed with you before anyone plays |
| How often | As assigned in learning journeys | A few minutes a day, continuous |
| What leaders get | Knowledge gaps, competence and behavior change by individual, team and region | Each person's trajectory against their own baseline, and a deep-dive report every 30 days |
| For managers | Analytics. No conversational team assistant found | RCM Advisor answers questions about the team from what people did |
Where Attensi fits
You want simulations and AI role-play for frontline roles or conversation skills. You want content built around your own processes. You want analytics by individual, team and region tied to business outcomes.
Where RCM ThinkLabs differs
A simulation rehearses a situation you can describe in advance. RCM ThinkLabs looks at the reasoning behind the call: what a person specified, what they checked, whether they held or changed their view. The story continues from day to day, so the record builds instead of resetting with each module.
Using both
RCM ThinkLabs sits beside process and conversation practice. It shows whether judgment across those situations is improving.
What RCM ThinkLabs does
Judgment with AI, in three capabilities. Specification, verification and conviction: who defines the problem, who checks the answer, who holds or updates the view. Human-AI collaboration
The same decision points for everyone. Capabilities are agreed with you before anyone plays, so results compare across people on the same terms. The capabilities
A manager's AI colleague. RCM Advisor answers questions about the team from what people did, for development and not for ranking. The platform
Behavior change, observed at one deployment. Read the evidence or compare other approaches.
The work that built judgment is disappearing.
AI took over much of the work people used to learn on. The responsibility stayed with them. Document review, first-pass analysis, routine reporting: the everyday work that taught people how to think a problem through is the work AI took first.
They are making calls that matter, with real people on the other side, having rehearsed none of them. RCM ThinkLabs gives them the rehearsal: a few minutes a day, with private feedback after every session.
See who is growing, and where to coach.
RCM Advisor is the manager's AI colleague. Each person is measured against their own baseline, by capability. It is for development, and it is not a ranking.
Who is improving
Who is improving, and on which capabilities.
Where reasoning stalls
Where reasoning stalls under pressure.
Who updates well
Who updates well when the evidence changes.
Questions leaders ask
Is RCM ThinkLabs an Attensi alternative?
For building and measuring judgment over time, yes. RCM ThinkLabs does not simulate specific frontline processes.
Does RCM ThinkLabs need a custom build?
Capabilities are agreed with you before anyone plays, and people run it in the browser with nothing to install.
How much time does it ask of people?
A few minutes a day.
Sources. Facts about Attensi come from its public materials, reviewed 8 October 2026. Attensi homepage, Attensi product overview (llms.txt). If anything here is out of date, tell us and we will correct it.
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