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Use cases

Give Agents Real Access.
Keep Real Control.

Agents become useful the moment they can act: send the email, change the record, move the money. AgentPlane decides which of those actions run on their own and which wait for a person, the same way every time.

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By team

One control layer, four jobs it does well.

AI platform and engineering leads

Ship agents across many tools without writing authorization logic into each one.

Today. Every team hand-rolls its own allowlists, approval hooks and logging. None of it matches, and none of it survives the next framework change.

  • One action envelope for every framework and model provider
  • Policies live outside the agent, versioned and testable in a simulator
  • A signed decision the enforcement point checks before any tool call

CISOs and security teams

Bound what agents can touch, and investigate fast when something looks wrong.

Today. Agents run on broad service credentials. When one misbehaves, the evidence is scattered across app logs, if it exists at all.

  • Per-agent identity scoped by tool, resource, environment, volume and amount
  • Hard-deny rules for secrets and destructive production changes
  • A hash-chained audit trail and a kill switch the agent cannot reach

Operations owners

Let agents finish routine work without someone reviewing every step.

Today. Teams either approve everything, which buries reviewers, or approve nothing, which keeps agents in demo mode.

  • Low-risk, reversible actions settle by policy and are verified afterwards
  • Only consequential actions reach a person
  • Reviewer feedback shows which rules are too strict or too loose

Approvers and managers

Decide on consequential actions quickly, with the facts in front of them.

Today. Approval requests arrive as vague prompts like “the agent wants to continue,” with no payload and no context.

  • The exact payload, target, objective and the person who started the task
  • A risk score that shows every factor that contributed
  • Approval bound to that payload. Change one byte and it no longer counts

Worked examples

What a working day looks like.

Each row is a real decision from the starting policy set. Try any of them in the live engine on the product page.

Customer support refunds

Support
  1. 1Read the order and the help articleAllowedInternal reads under an explicit allow policy
  2. 2Open a follow-up ticket for billingAllowedReversible internal write, verified after it runs
  3. 3Email the customer a refund confirmationNeeds approvalExternal send. The approver sees the exact email

Vendor payments

Finance
  1. 1Match the invoice to the purchase orderAllowedLedger reads in scope for the agent
  2. 2Draft the payment summary for the controllerAllowedInternal draft under the routine-writes policy
  3. 3Transfer $18,450 to the vendorDeniedCritical risk. Needs a break-glass policy you choose to add

Infrastructure cleanup

Platform
  1. 1List stale resources in stagingAllowedRead-only, non-production
  2. 2Read the payments API private keyDeniedHard rule on secrets. No approval can override it
  3. 3Delete 4,200 customer rows in productionDeniedHard rule on destructive production actions

Analytics exports

Data
  1. 1Read last week’s revenue dashboardAllowedInternal read under an explicit allow policy
  2. 2Export 240 rows with no named requesterEscalatedMissing initiating principal. Nothing is trusted by default
  3. 3Export 50,000 customer recordsEscalatedBulk export rule routes it to security

Bring your own agent.

Create a workspace, register an agent and send its first action in about ten minutes. The sandbox is free and nothing reaches a real system.

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