One to two days. A named deliverable. A direction your leadership commits to.
100% of 21 attendees left with immediate, executable actions. Grant Backes, VP of Programming: "The team walked away with decisions they could act on immediately." That's the bar every Playbook session is designed to clear.
In the first conversation, we'll tell you if a Playbook session is the right fit.
The opportunity is visible. The team is capable. The value is there. What's missing is a structured process to turn what your leadership already knows into a plan they'll execute.
AI decisions cross functional lines. They require perspectives from groups with different goals, different constraints, and different definitions of success. Those decisions compete for bandwidth against work that already has a deadline. Sessions get rescheduled. Context diffuses between meetings. Months later, the team has a general consensus that doesn't quite hold when it reaches a real decision point.
Adding more meetings doesn't solve any of this. It compounds it.
Meets monthly. Produces a report. Recommends something no one can quite commit to. The AI opportunity stays open while the market moves.
Good energy, general alignment. The real disagreements weren't surfaced, so they resurface later and reopen what looked resolved.
Tools deployed, no ROI story. Your team can show adoption data — but not business outcomes. The gap between "we're using AI" and "AI is doing something measurable" remains open.
A focused, time-limited session with a facilitator who has no stake in the outcome. Real disagreements surfaced and resolved. A Playbook that leaves the room with the team.
At the end of our session, you'll have a Playbook — an AI investment thesis, a prioritized map of use cases, and a set of starting points your leadership team is committed to executing. Not a facilitation report. A plan your team will actually use.
The best sessions work because the disagreements are real, and the structure is honest about that. Real tensions surface. They get worked through. People leave having made something together, not attended something together. That's what makes the output usable and the direction durable.
BraveLabs designs the session before running it. The difference between a session that surfaces real disagreements and one that works around them is what happens in the two weeks before people are in the room.
Stakeholder interviews and background research. We map the real tensions: the competing interests, the unspoken assumptions, the questions that will derail the session if they surface unexpectedly. The session design comes from this work.
The session itself. BraveLabs runs the room. The design accounts for the disagreements — it doesn't avoid them. Every perspective gets heard and documented. The team leaves with something they built together: a shared frame, prioritized use cases, and starting points they own.
Decision records, owner assignments, and your completed Playbook document — formatted for the leadership team and ready to share with stakeholders who weren't in the room. Available for a 30-day check-in to confirm momentum is holding.
TCSHRM needed their membership to leave a workshop not just informed about AI — but ready to act. The challenge: 21 HR leaders with different roles, different organizational contexts, and different levels of AI familiarity, all in the same room.
BraveLabs designed and facilitated an AI strategy session that mapped each attendee's context to specific, actionable AI use cases. The session didn't produce generic AI literacy content. It produced a Playbook for each participant: where AI applies to their actual work, which actions to take first, and why.
When the survey came back, 100% of respondents said the session was actionable. That's not a satisfaction score — it's the measure of whether the session worked.
Twenty-one attendees responded to the survey, and 100% said the workshop was actionable. The team walked away with decisions they could act on immediately.
Stoneridge had deployed Co-Pilot across their HR team. The ROI conversation was coming. BraveLabs designed and ran an AI Action Plan session that mapped existing use cases to specific business value outcomes — measurable impact, not efficiency projections. The team left with a decision framework and next steps they owned.
Radio Free Europe / Radio Liberty needed to move faster on complex editorial and organizational decisions across multiple global bureaus. BraveLabs designed and delivered a design thinking training program that built internal capability — not ongoing external dependency.
Ibanga's training was comprehensive and immersive, bridging creativity with data-driven insights. It equipped us with practical tools in a collaborative learning environment, preparing us effectively for implementation.
We don't run intake forms. Reach out directly — we'll tell you if a Playbook session can resolve it and what your Playbook would specifically address.
We respond within one business day.
No commitment required to have the first conversation.