AI governance for production decisions

Move AI from POC to evidence-ready deployment.

Knotest helps teams evaluate model quality, monitor drift, and document risk before production. Align testing, ISO-focused governance, and ROI evidence in one review workflow.

ISO-aligned

Audit evidence before approval

100+ tests

Model behavior under pressure

ROI record

Value proof for leadership

Evidence workflow

Turn model tests into audit-ready decisions.

Review workflow

Four practical steps from pilot to production.

IGNITE

01 | Set up a governed workspace

Create isolated workspaces for models, datasets, and review owners. Keep evidence organized from the first assessment.

Processing sequence25%

TEMPER

02 | Map risks and controls

Record risks, owners, controls, and residual exposure in an ISO-aligned register before approval decisions.

Processing sequence50%

REFINE

03 | Test model behavior

Run data quality checks, robustness tests, red teaming, and drift scenarios against realistic operating conditions.

Processing sequence75%

FORGE

04 | Prepare decision evidence

Generate reports, logs, and sign-off records that connect model performance to risk and business value.

Processing sequence95%
Governance priorities

What leaders need before production

Compliance

ISO-aligned evidence

Organize controls, responsibilities, and audit records around ISO/IEC 42001 and related AI risk practices.

Quality

Production reliability

Evaluate data quality, robustness, fairness, explainability, and drift before the system is scaled.

Governance

ROI and risk record

Connect model performance to operational impact, risk level, and ROI evidence for clearer approval decisions.

AI projects need evidence before scale.
Knotest helps build it.

Use Knotest to review model behavior, risk controls, drift exposure, and business value before the next production decision.