Automate access request approvals
RampBrain compiles your access policy into a grounded skill an AI agent runs: it checks each request against your documented rules — role, system, justification — and routes it for one-click human approval, with every grant traced to the rule that allowed it.
The problem
Access requests pile up in a ticket queue and get rubber-stamped or stalled, because the policy for who-gets-what lives in someone’s head. That’s slow for employees and an audit problem for security.
How RampBrain handles it: RampBrain turns your access policy into an executable skill. The agent evaluates each request against the documented rules and proposes grant, deny, or escalate — and a human approves before any access is changed.
How RampBrain automates access approvals
Connect your access policy
Point it at the policy in Confluence, Notion or docs, plus the systems it governs.
Compile an access-request skill
RampBrain extracts your real rules and limits into an executable skill, each cited to source.
The agent evaluates the request
It checks role, system and justification against the documented policy and proposes grant, deny, or escalate.
A human approves
Access changes are human-gated. The grant is recorded against the exact rule that permitted it — a clean audit trail.
New scenarios sharpen the policy
Requests that don’t fit escalate, and once resolved become sourced rules the skill reuses.
Why it's safe to let an agent run it
Grounded, never guessed
Every step is traced to a real source in your knowledge. No source means it's flagged as a gap and escalated — the agent never invents a rule.
A human is always in the loop
Nothing money-moving or production-changing runs without one-click sign-off. The agent proposes; a person decides.
It gets sharper over time
Every resolved case is captured as a sourced doc and the skill recompiles in place, so the decision stays consistent and current.
Frequently asked questions
Does it provision access by itself?
No. Access changes are human-gated. The agent evaluates and proposes; a person approves before anything is granted.
How does this help with audits?
Every decision is traced to the documented rule that allowed it, with a full decision-to-rule-to-source trail — so ‘why did this person get access’ has a sourced answer.
What if a request doesn’t fit policy?
It escalates instead of guessing, and your resolution is captured so the policy gets sharper over time.
What is an access request workflow here?
A compiled skill that turns your written access policy into an agent-run decision with a human gate — not a fixed feature you configure by hand.
More things RampBrain can run
Clear the access queue, safely.
It’s live and free — connect your access policy, compile the skill, and watch the agent propose its first decision. You approve.
Start free →