How it works

One accountability model. AI takes the volume. People own the decisions that carry weight.

Huscribe verifies AI systems against what your team approved. Mairit puts a qualified reviewer behind the work AI produces. Different mechanisms, the same four steps.

1Define the standard

Huscribe: Your team approves what the agent may do, what it must not do, and what a good outcome looks like. That approval is the reference for everything that follows.

Mairit: The work arrives with an explicit rubric for its kind: what a correct contract, a safe change, or a faithful translation has to satisfy.

2Check the evidence

Huscribe: Huscribe inspects the system against what you approved and reports where behaviour diverged, with the evidence.

Mairit: A reviewer with the right credential checks the work against the rubric.

3Name who decides

Huscribe: Huscribe prepares the smallest fix. Your team decides what is released. We never deploy.

Mairit: The reviewer approves, rejects, or returns it for correction. Their name and the scope of what they checked go on the record.

4Keep the record

Huscribe: A report at each stage, before release, during live inspection, after a change, plus the release history.

Mairit: The reviewed work, who reviewed it, what they checked, and what they decided.

Nothing moves without a name on it.

How Huscribe works → · How Mairit works →
Trust

Built to be inspected, not taken on faith.

SOC 2 Type II and ISO/IEC 27001:2022, both products in scope. Encrypted in transit and at rest. Review, release, and admin actions are logged.

Humai

Human Intelligence.

SOC 2 Type II · ISO/IEC 27001:2022 · Both products in scope

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