Human review infrastructure

Trust AI output before it leaves your workflow.

Mairit routes AI-generated work to qualified human reviewers and returns the result with an attestation and an auditable record of what happened.

  • Customer-scoped work
  • Verified reviewer identity
  • Immutable audit history

Review route

Example workflow

Ready for review

Input

AI-generated work submitted

Requirements and source context stay attached.

Human review

Qualified reviewer evaluates the work

The reviewer records findings against the requested criteria.

Evidence

Reviewed result and attestation returned

The customer can inspect the outcome and activity history.

Scoped

Customer data

Recorded

Review actions

Verifiable

Final evidence

Choose your entry point

One review layer, built for every participant.

Customers submit and track work. Reviewers evaluate it. Mairit keeps the handoff, outcome, and evidence connected without turning the process into a public marketplace.

A clear review path

From AI output to accountable result.

01

Submit or connect

Start in Studio for a guided submission or connect an existing workflow through MCP and API tools.

02

Route to a human

Send the work and its requirements to a qualified reviewer with the right context and boundaries.

03

Receive verified evidence

Keep the reviewed result, reviewer attestation, and customer-visible activity history together.