The GTM engineering team you switch on
The AI GTM Engineer is a managed team of AI agents, growing every month, that moves spend, prioritizes pipeline, personalizes outreach, and flags at-risk deals inside the tools you already run. All on one context layer. All under Safe Autonomy. Under 0.1 FTE to run.
- 01pull opps stalled 14+ daysSalesforce✓
- 02enrich champions + intentcontext layer✓
- 03draft outreach as each repGmail · Outreach✓
- 04gate sends behind approvalSafe Autonomy✓
One engineer. Every team's busywork
For marketing
Campaign budget reallocated across Google and LinkedIn from one model of attribution, MMX, and incrementality. The QBR recommendation, executed.
For sales and the CRO
Accounts and opportunities prioritized daily, at-risk deals flagged to Slack before they slip, tiers written back to the CRM.
For growth and demand gen
Anonymous visitors resolved to named accounts, outreach personalized at scale. One customer surfaced more than 31,000 anonymous companies, with bookings up 25%.
For RevOps
Every action logged, reversible, and audit-grade. The agents file better paperwork than the humans did.
Activate it, or staff it
The alternative is hiring two or three GTM engineers against a market with three thousand unfilled roles, spending a quarter on the build, then owning the maintenance forever. The AI GTM Engineer is the activated alternative: a kickoff call and a team that arrives already knowing your motion because it runs on your context layer.
| Activate the AI GTM Engineer | Build it yourself | |
|---|---|---|
| FTEs to run | <0.1 | 2–3 GTM engineers |
| Time to value | Weeks | 3–4 months |
| Maintenance | Fully managed | Constant tuning |
| Context | Unified across stack | Fragmented per tool |
| Risk | Production-proven across security, fintech, data, and developer tools | Owned forever |
Propose. Approve. Commit. Roll back
Every move is proposed with its reasoning, approved through risk gates your team controls, committed into live tools, and reversible in one click. ISO 42001 certified. This is the permission structure that lets an enterprise say yes to action.
Propose
Agent proposes a move with explanation and confidence.
Approve
Operator approves via Slack or in-app. Approval gates per-action.
Commit
Action ships into your live systems. Logged with who and when.
Rollback
One click reverses the action. Audit ledger immutable.
The first consumer of the layer. Never the only one
The AI GTM Engineer runs on the same governed context layer you can point your own agents at — Claude, ChatGPT, anything you build — through the MCP Server. Use ours, bring yours, or both.
The requisition you can close this month
Implementation included. Migration off your current attribution stack is on us.