Each one translates research into a practical sequence you can run with clear ownership and outputs.
Pick the playbook that feels closest to your situation.
Flagship path
Path 1
A practical way to choose AI bets that create measurable value instead of theater.
Start here if: Best for teams choosing one pilot this quarter, not browsing AI ideas casually.
First output: A ranked bottleneck list with recurrence and impact notes.
12 min read
Use this playbook (12 min)Flagship path
Path 2
A structured rollout model to ship agents safely without stalling momentum.
Start here if: Best for teams preparing a real agent launch, not theory discussions about autonomous futures.
First output: A scoped launch canvas with out-of-bounds actions documented.
13 min read
Use this playbook (13 min)Flagship path
Path 3
A practical operating model for human-agent teams that can scale without chaos.
Start here if: Best for teams scaling AI usage across functions, not one-off pilot experimentation.
First output: Workflow map with maturity classification per function.
13 min read
Use this playbook (13 min)Older and adjacent playbooks are still available as supporting material.
Supporting playbook
If your team is busy but progress feels slow, this helps you see where work is getting stuck and what to fix first.
Open supporting guideSupporting playbook
If you're stuck between improving what you have and starting over, this gives you a clear way to decide without guesswork.
Open supporting guideSupporting playbook
If you're exploring AI but results still feel thin, this helps you focus on what will actually improve day-to-day delivery.
Open supporting guideIn one session, we'll pick the playbook move, owner, and review cadence that fits your current constraints.
