Playbooks — what the platform does for each team

One AI brain, four front doors (web, HubSpot card, Roam, Claude Code skills), over FCR's full data. These playbooks frame the capabilities by who you are and what you're trying to do — not by the tech.

Origin: the v1 "AI Advisor — one brain, two front doors" deck (April 2026, for Sales/AMs/CS/Campaign Managers). We've since shipped the HubSpot card, precomputed deal briefs, the maps/LRC stack, deal-pattern mining, and more — these playbooks fold the v1 patterns together with everything added since.

By team

Team Playbook The headline use
Account Managers account-managers/ Instant account context, QBR/renewal prep, performance with caveats
Sales sales/ Cold-to-close prospecting — rank check, competitor ID, market intel, proposals — plus customer experience, retention & voice
Marketing, Product & GTM marketing-product-gtm/ Keyword KB, category intel, product portfolio, AI grounding, the listings GTM engine
Business Planning business-planning/ Revenue bridge, MRR/forecast, win-rate, portfolio economics
Operations operations/ Data syncs, deploys, monitoring, reconciliation

The shared foundation (read once)

These are first cuts — refine the framing per team as you use them.

FCR Dashboard documentation · generated from docs/ · keep counts verified, not guessed.

Ask the docsRAG over this site
Ask anything about the FCR Dashboard platform — architecture, BigQuery, the worker routes, billing rules, the LRC stack, scoring… Answers are grounded in this documentation, with source links.
How does the deal-brief refresh work? Which routes are Worker vs n8n? How is account health scored?