What we build
Foundation and governance
Model your revenue data once and enforce the rules that keep it clean.
What is inside
This area of work sits beneath your CRM and warehouse.
- Proprietary context layer. Win history, pricing, and customer records modeled so the AI tools you already bought can read them.
- Governance that fires. Routing, process, and data rules enforced by the system, not by reminders.
- AI-ready data foundation. One account hierarchy, deduplicated records, and enrichment built for AI to consume, not only for reports.
- Stack consolidation. Fewer logins and one source of truth, partly paid for by the tools you cancel.
- Documented ownership, no lock-in. Runbooks, credentials, and a handoff session, so your team runs the system without us.
- Security-review-ready AI data governance. Access controls, audit trail, and data handling your security reviewer can sign off.
Situations that lead here
Your AI sales tools produce junk
The tools cannot see your win history, your pricing, or your customers.
For revenue leaders
You cannot hire the GTM engineer
One hire is carrying what should be documented infrastructure.
For revenue leaders
Start with a fixed-price diagnostic
It begins with a free 45-minute call that commits you to nothing. You leave the diagnostic with a ranked plan you can run with us or without us.