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AI consulting and AI software development · Chennai, India · serving India and the United States

Free NATIVE Audit

AI Governance and Risk

AI model risk management and assurance

Evaluation harnesses, quality bars, drift monitoring, and audit-ready documentation for regulated workflows

Duration
4 to 8 weeks
Ladder stage
Product
NATIVE stages
Validate, Expand

The situation

When this engagement is the right one

In a regulated workflow, the question is not whether the model is good. It is whether you can show, months later, that it was good enough, on which cases, judged by whom, and what happened when it was not.

You are probably seeing

  • Model quality is asserted from a demo rather than measured against a set.
  • There is no held-out set representing the hard cases.
  • Nobody monitors override rate, so degradation is invisible until a complaint arrives.

What we do

The work, in the order it happens

  • 01Build the evaluation set from real cases, including the hard tail.
  • 02Define quality bars per decision type, with the reviewer who set them named.
  • 03Stand up an eval harness in CI so regressions block release.
  • 04Instrument drift, override rate, and exception volume.
  • 05Produce the audit documentation template and populate the first cycle.

What you get, and keep

  • An evaluation set and harness, in your repository.
  • Documented quality bars per decision type.
  • A monitoring dashboard specification with alert thresholds.
  • A completed first-cycle audit pack.

Prerequisites

  • Access to historical cases, including the ones that went wrong.

Not included

  • We do not act as an independent assurance function for regulatory submission.

Duration and price shape

4 to 8 weeks

Fixed fee, scoped by number of decision types.

Where this sits in the method

Commercially this is a Product engagement on the Proof, Product, Platform ladder.

FAQ

Questions we get asked

Do you build the eval set or do we?
We build the first one with your reviewers, then hand over the process so your team extends it.
What is a reasonable quality bar?
One your reviewers will defend in front of a regulator. We facilitate that conversation; we do not set it for you.

Next step

Ready to scope model risk and assurance?

Bring the pilots you already have running. The first call is a scoping conversation, not a pitch.