What is RampBrain?
RampBrain is a company brain that turns your knowledge into work an AI agent runs — not a chatbot that answers questions, but an agent that handles refunds, incidents, approvals and access requests, every step sourced and gated on your approval.
RampBrain (in one sentence): it ingests your company's docs, code, Slack and tribal knowledge, compiles them into grounded, governed skills, and an AI agent uses those skills to do real operational work — acting only on documented rules, escalating instead of guessing on a gap, and stopping for a human's one-click approval before anything runs.
If you've searched "what is RampBrain" (or "ramp brain") and landed here: it's the missing layer between your company's scattered knowledge and reliable AI automation. The models are finally good enough to run the work — what's been missing is a trustworthy version of how your team actually does it. That's what RampBrain builds.
What RampBrain does
Most AI tools surface a document or draft an answer. RampBrain goes one step further: it compiles any operating policy into an executable SKILL.md — the decisions, the steps, and the guardrails, each traced to a real source — that an AI agent loads and acts on. Refunds and incident response ship as built-in showcases; everything else, you compile from your own policy docs using the same engine.
Three properties make it safe enough to trust with real work:
It's grounded — every step is traced to a source in your knowledge; no source means it's flagged as a gap, never guessed. It's human-gated — money-moving and production-changing actions never auto-run; the agent proposes, a person approves. And it's self-improving — every resolved case is captured back as a sourced document, so the brain gets sharper the more your team uses it.
How RampBrain works
Connect your knowledge
Point it at a GitHub repo, docs (PDF/Markdown/code), Slack exports, Jira, Confluence, Notion or Linear — plus 5-minute interviews to capture what only lives in people's heads.
Compile a skill
RampBrain turns a policy into a grounded skill with its own decision rules and numeric thresholds — every rule, step and limit cited to the document it came from.
The agent proposes
On a real request, the agent decides the next action from documented rules only. Hit a gap and it escalates rather than guessing.
A human approves
Nothing money-moving or production-mutating runs without one-click sign-off. You see the cited rule it's acting on before you approve.
The brain learns
The resolution is captured as a sourced doc and the skill recompiles in place, closing the gap that caused the escalation.
Who RampBrain is for
Teams that run the same operational decisions from memory every day — and want them done consistently, sourced, and safely:
Support & CX teams
Handle refunds and customer exceptions to a documented policy, consistently, without escalating every edge case to a lead.
Engineering & on-call
Respond to incidents with a runbook an agent executes the safe coordination for — page, triage, open the issue — under your sign-off.
IT & security ops
Approve access requests against real policy, with every grant traced to the rule that allowed it and a human in the loop.
Ops, finance & deal desk
Run discount and spend approvals on the documented threshold, not on whoever happens to remember the limit.
How RampBrain is different
It isn't a chatbot over your documents (that's table stakes), and it isn't a rigid no-code workflow builder. You don't get a fixed list of features — you point RampBrain at a policy and it compiles a workflow that speaks that policy's own decision vocabulary and limits. The result is an agent that does the work, shows its sources, refuses to guess, and gets better every time it's used. Read the full product story on the home page, or see who's building it on the about page.
See RampBrain run your work.
It's live and free — connect a source, compile your first skill, and watch an agent propose its first action. You approve.
Start free →