Three capabilities, observed under pressure.
Specification: can people define the problem before asking AI to act? Verification: can they tell whether the answer holds up? Conviction: can they make and defend a decision, and update it when the evidence changes?
Baseline in 30 days. Trajectory after that.
A model built for your teams
A forward-deployed engineer interviews leadership and the team, and maps the decisions that matter.
A 30-day Initial Operating Capability
Micro-sessions run daily on weekdays. Every capability enters at a measured baseline, and the first movement shows.
Full Operating Capability
Two fixed days per week, across teams. New hires join the same loop, so the feedback keeps building.
Every decision becomes data.
Every choice in a micro-session is a decision inside a scenario where interests conflict and information is incomplete. What a person asks, what they check, which evidence they weigh, when they commit and whether they update are all read against a defined capability model.
In production that produced more than 15,000 scored decisions across 1,088 sessions. No self-assessment and no survey: the evidence is what people did.
Put coaching where it counts.
- See which capabilities are strengthening, stalling or degrading across a team, over time.
- Find where reasoning stalls under pressure so coaching goes to the moment that matters.
- Spot who updates well when evidence changes and who goes quiet or rigid.
- Decide where manager attention goes with RCM Advisor, the manager’s AI colleague.
- Plan team composition and succession on evidence rather than impression.
What we measure. What we don’t.
It measures
- Decisions made inside micro-sessions
- How people frame, verify and commit
- Change against each person’s own baseline
- Patterns across a team, such as where it goes quiet under pressure
It does not measure
- Personality or psychometric type
- Productivity or time on task in real work
- Formal performance ratings
Measured in production.
Figures from production, measured against each person's own opening baseline.
Establish your AI workforce baseline.
Thirty days to a measured baseline. Nothing to install.
Common questions
How long does it take to establish a baseline?
The first cycle is a 30-day Initial Operating Capability (IOC). Micro-sessions run daily on weekdays, every capability enters at a measured baseline, and by the end you have that baseline and the first signs of movement.
Does it need an integration with our systems?
No. RCM ThinkLabs runs in the browser on any device, with nothing to install. See the security page for detail.
Is participation mandatory?
No. In the deployment behind our figures nobody was assigned, and 70% came back daily.
Who sees individual results?
Each participant receives private feedback after every session and a monthly deep-dive report. Managers receive capability reads for their team through RCM Advisor. The platform is designed for developmental measurement.
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