About RCM ThinkLabs
What is RCM ThinkLabs?
RCM ThinkLabs (rcmlabs.io) builds the human capability layer for AI transformation. AI now does much of the work that used to build judgment. RCM ThinkLabs gives people that practice back in immersive micro-sessions of a few minutes, where they make real decisions and get private feedback. It measures how each person frames problems, checks answers and makes decisions over time, so leaders can see whether capability is strengthening, stalling or degrading. The method is grounded in game theory (research at MIT) and behavioral science.
How do teams keep developing people when AI does the entry-level work?
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 games, in micro-sessions, 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.
What are serious games for enterprise teams?
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.
How does RCM ThinkLabs measure skills?
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.
Who is RCM ThinkLabs for?
Enterprises adopting AI, and the leaders accountable for whether it pays off: COOs, Chief AI Officers and Chief Product Officers. It develops individuals, builds team cohesion, and gives managers a live view of who is growing, where growth has slowed, and who sharpens whom.
Does RCM ThinkLabs help managers, or only individual contributors?
Both. People build critical AI-era cognitive skills through the daily sessions, and their managers get RCM Advisor, a continuous view of who is growing, where growth has slowed, and who sharpens whom. Instead of guessing between annual reviews, a manager can see how each person reasons and coach with something real.
What research is RCM ThinkLabs based on?
Measurement is grounded in advanced game theory (research at MIT). The method is built on serious games and behavioral science. RCM ThinkLabs is supported by MIT VMS, SBXi, Google, NVIDIA Inception, OpenAI, and ElevenLabs.
Does it work for remote and hybrid teams?
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.
Deployment and logistics
How much time does it ask of each person?
A daily micro-session. 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.
What is the difference between an IOC and an FOC?
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.
What do participants experience?
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.
What does IT need to install?
Nothing. It runs in the browser, on any device. No agent, no plugin, no desktop install, no integration required to begin.
How is our data handled?
Each client runs in its own isolated environment. Your data never mixes with another client's.
How is a deployment customized for us?
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.
Can we try it before committing to an IOC?
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.
What does it cost?
Both the IOC and the FOC are priced by team size. We walk through the details on the call.
Still have a question about your team?