Independent arbiter for your AI agents integrated into mission-critical systems

Autonomous Release Gates for Production AI Agents

For AI agents with write access to customer ERP, CRM and billing. Your tests pass. Your customer's data breaks.

Shield for AI agents in procurement, legal, finance and supply chain

Why

An agent can save wrong data and still say it worked

Illustrative example

After a model update, the agent cuts an order ID short.

order record
expectedORD-EXAMPLE-004817
savedORD-EXAMPLE-004817
ID mismatch

A server error makes the agent retry and create the invoice twice.

invoice writes
POST /invoices502 · retry
INV-EXAMPLE-01071,240.00
INV-EXAMPLE-01071,240.00
Saved twice

The agent replies "done", but nothing was saved.

agent reply vs. record
Done.
records saved0
Nothing saved

Most tests only check what the agent replies. We also check what it saved.

What we do

What Agentiqa does

  1. 01

    We check what was saved, not what was said

    Before every release, the gates run your agent through its key tasks. Then they look inside ERP, CRM or billing and confirm the right record was saved once, with the right IDs and amounts.

  2. 02

    We test the bad days too

    Real systems are slow, fail and send back cut-off data. The gates include server errors, timeouts and retries, because that is when agents save things twice or report success after a failure.

  3. 03

    We try to misuse your agent before anyone else does

    The gates also try to push the agent off its job: deliberate mistakes, misuse and prompt injection hidden in emails or documents. If the agent changes something it should not, the release stops.

Our engineers build the gates with you and keep them current as your agent changes.

Agent
Task
Record
Gate
  • Right record
  • IDs and amounts
  • Saved once
Failed check → release stopsRelease stopped
Compare

What each approach actually checks

Regular testsMonitoring after releaseAgentiqa release gates
Checks the agent's replyYesYesYes
Checks what was saved in ERP, CRM or billingSometimesAfter the factYes
Runs before the releaseYesNoYes
Tests server errors, timeouts and retriesSometimesNoYes
Tests misuse and prompt injectionSometimesNoYes
Stops a bad releaseSometimesNoYes
Who keeps it up to dateYour teamYour teamOur engineers, with you
How it works

First release gates live within 7 minutes

  1. Map

    the systems your agent changes

  2. Check

    the riskiest tasks first

  3. Run

    the gates before every release

  • Every failure comes with a trace and steps to reproduce.
In production at Lio
“Running them daily, we proactively catch regressions across all our systems and agents. In the first week alone, Agentiqa surfaced five real production bugs we'd never have caught without a full-time QA team.”
Vladyslav MelnychukAI Software Engineer, LioLio · AI procurementSeries A led by a16z ↗
FAQ

FAQ

Other questions? Ask us during the free 20-minute audit.

Book the audit →

AI agents that change data in ERP, CRM and billing can save wrong data while every test passes: a cut-off ID, an invoice created twice, a “done” with nothing saved. Agentiqa checks what was saved before every release and stops the release if it’s wrong.

A quality gate for AI agents, which Agentiqa calls a release gate, is a check that runs your agent’s key tasks before a release and looks at what the agent actually changed. If it fails, the release stops and you get a trace and step-by-step reproduction.

AI agents in production that write to customer systems in procurement, legal, finance and supply chain, where a wrong record costs more than a wrong answer.

Regular tests mostly check what the agent replies. Monitoring shows what went wrong after the release. Release gates check what was saved, before the release, so a wrong change is caught before it reaches your customer.

Yes. The gates try deliberate agent mistakes, misuse and prompt injection before a release. If the agent changes something it should not, the release stops.

First release gates are live within 7 minutes. We map the systems your agent changes, check the riskiest tasks first and run the gates before every release.

Our engineers build them with you and keep them current as your agent changes. When a gate fails, you get a trace and step-by-step reproduction.

Agentiqa is privacy-first. Credentials are encrypted and kept out of the AI model’s context. SOC 2 is in progress. A data processing agreement is available on request.

The 20-minute Mutation Risk Audit is free. Release gates are priced on request. Developers can start free with Community (20 runs a month) or use Pro at $39 a month.

Mutation Risk Audit

Find out where your agent could save wrong customer data.

Free, 20 minutes.