Stop being the bottleneck for every AI request
Clean data in one place you own, definitions every agent reads the same way, and coding agents that do the build work while you review.
What you're after
One version of the truth
Stages, pipeline and attribution defined once. Every dashboard and agent uses them.
Requests shipped in days
Coding agents do the configuration and build work, and you approve each change.
A seat at the revenue table
Your work tied to pipeline, with a backlog ranked by what each request is worth.
Why another tool won't clear your backlog
RevOps-first shops are right that definitions matter. They just make you wait a quarter for the AI.
- Audit, roadmap and CRM cleanup, then AI as the last layer
- Definitions re-taught to every agent and dashboard
- Changes made by hand in admin screens nobody can review or undo
- Data from every tool in one warehouse you own, defined once
- Changes made in GitHub by coding agents, each one reviewed and reversible
Why RevOps belongs on GitHub
Field logic, workflows, scripts and definitions are code. In GitHub every change is reviewed, documented and reversible, and coding agents do their best work there. You stop being the only person who knows how it all fits together.
What makes a play readable
Illustrative. Companies, people and numbers are fictional. Every revenue play reads the same definitions, so a result means the same thing to sales, finance and the board.
| Definition | What it means | Where it lives |
|---|---|---|
| Qualified opportunity | Passed the stage-2 exit criteria within 45 days of the meeting | CRM stage history |
| Comparison account | Met the play's rules and didn't get the play, same weeks | Warehouse, fixed at launch |
| Play result | Qualified opportunities per 100 accounts, play against comparison | The play report |
The number a play is judged on
Meetings booked is the easiest number to move and the least useful. A play is judged on meeting held to qualified opportunity, play accounts against comparison accounts fixed at launch. If two dashboards define either stage differently, the read means nothing, so the definitions come first.
How we get you there
- Step 011
Connect your data
Stream the CRM, sequencer, dialer, calls and marketing data into a warehouse you own. Write the definitions down once.
- Step 022
Prioritize by revenue impact
Find where the funnel loses the most revenue, so the backlog is ranked by impact instead of by who asked loudest.
- Step 033
Ship into the tools your team uses
Build the fix with coding agents and push it into the CRM and your tools, each change through a pull request you approve.
- Step 044
Keep improving
Run the comparison reads and data checks every week. Keep, change or retire, then pick the next fix.
Jobs we take on for RevOps
What we build for RevOps
Agentic tool implementation
CRM and tool setup done by agents in days, with your review.
Read moreCustom apps and MCPs
Connectors your vendors never shipped, and small tools for one job.
Read moreGTM project management
A backlog of revenue bets with one owner each, reviewed weekly.
Read moreAI self-improvementIn progress
Being built. Corrections turned into proposed skill changes you review.
Read moreGTM AI Bootcamp
Start with a bootcamp. Within 4 weeks one play runs on definitions your team owns, built with you and read against comparison accounts. Week one needs read access and four people, not a data project, and we do the building. $5,000 for the first five teams, then $10,000, credited toward Implementation if you continue. Bigger data work runs as a 12-week implementation.
Before you book
Are you replacing RevOps?
No. We take the build work off your plate and leave the definitions, code and repo with you.
Who maintains it after you leave?
You do, and it's written so you can. Every build ends with a handoff and training. Managed Agents is there if you'd rather we run it.
We have our own GTM engineer.
Then the warehouse and definitions become theirs to build on. What we add for builders.
How do you get into our systems?
We'll walk your security team through access before kickoff.
Rank your backlog by revenue
30 minutes. Bring your stack and the requests you can't get to.
Book a call