The questions everyone asks.

RCM ThinkLabs (rcmlabs.io) is a game-theory engine for measuring decision performance in AI-era organizations. As AI automates the entry-level work that used to turn juniors into seniors, the daily practice that builds critical AI-era cognitive skills disappears, and RCM ThinkLabs puts it back. It runs as daily fifteen-minute decision sessions where every choice is a move in a modelled game, which produces a record of how they decide when interests conflict, which passive Slack scrapers and multiple-choice quizzes cannot observe, backed by advanced game theory (research at MIT with Prof. Muhamet Yildiz) and behavioral science (the work of learning scientist Karl Kapp): in up to fifteen minutes a session, teams rehearse real decisions where every decision is scored, which builds cognitive agility and team cohesion and gives leaders a continuous read on how their people reason and work together.

The tasks that used to make someone senior, the first draft, the first model, the first hard call, are increasingly automated, so the daily practice that built critical AI-era cognitive skills is disappearing. RCM ThinkLabs puts that practice back as daily immersive serious-game micro-sessions, up to fifteen minutes a session, where people make real decisions under pressure and every one is scored. Managers get a continuous read to coach with through RCM Advisor, and it is proven in production.

Serious games are interactive scenarios built for a purpose beyond entertainment, here to develop and measure critical AI-era cognitive skills. At RCM ThinkLabs, people work through realistic, narrative-driven business situations where decisions carry real consequences and none of the real-world cost. How a person works through the scenario reveals how they reason, so each session turns behavior into insight.

Every decision in a session is scored against a defined capability model, so instead of a survey or an annual review, leaders get continuous behavioral data on reasoning, agility, communication, and how teams cohere. In a live deployment with an advanced engineering team, the platform scored more than 15,000 decisions across 1,088 sessions.

The enterprise teams whose work depends on reasoning well together under pressure, and the leaders who guide them. It is used to develop individuals, build team cohesion, and give managers a live read on who is ready, who is stuck, and who sharpens whom.

Both. People build critical AI-era cognitive skills through the daily sessions, and their managers get RCM Advisor, a continuous read on who is ready, who is stuck, and who sharpens whom. Instead of guessing between annual reviews, a manager can see how each person reasons and coach with something real.

Measurement is grounded in advanced game theory (research at MIT with Prof. Muhamet Yildiz). The method is built on serious games and behavioral science (the work of learning scientist Karl Kapp). RCM ThinkLabs is supported by MIT VMS, SBXi, Google Cloud, NVIDIA Inception, OpenAI, and ElevenLabs.

Yes. Because the shared narrative gives distributed teams a common daily context, they build trust and cohesion whether or not they sit together. Cohesion mapping then shows leaders where a team is aligning and where it is drifting into silos.

Daily micro-sessions, fifteen minutes each. During the IOC, sessions run daily, every weekday. In the FOC, the rhythm settles into two fixed days a week. No workshops to schedule, no calendar blocks to negotiate.

An IOC (Initial Operating Capability) is where every client starts: one team, one skill cycle, daily on weekdays, typically 30 business days. An FOC (Full Operating Capability) continues from there at two fixed days per week across teams.

A daily narrative investigation. They step into a story, talk to its characters, and work out what is going on. That is all they need to know to start, and it is most of why they keep coming back.

Nothing. It runs in the browser, on any device. No agent, no plugin, no desktop install, no integration required to begin.

Each client runs in its own isolated environment. Your data never mixes with another client's.

Every deployment is built for one client. A forward-deployed engineer starts by interviewing your leadership and the team itself, learning your context, the decisions that matter most, and how your people actually work. That calibration shapes the narrative, the scenarios, and what we measure, so what your team steps into reflects your organization rather than a template.

The best first step is to get your team's baseline. We scope it on a short call and walk you through a live session, then a first cycle gives an honest read on how your team reasons and whether it fits, before you commit to a full cycle.

Both the IOC and the FOC are priced by team size. We walk through the details on the call.