AI Assessment
Before an AI system goes live, you need to know its risk. Digital Anumati's AI Assessment guides your teams through structured reviews of each model — covering data use, bias, transparency, and impact — scoring the risk and recommending mitigations so AI ships responsibly under the DPDP Act.
Guided
AI Risk Reviews
99.99%
Uptime SLA
Risk-Scored
Outcomes
100%
DPDP Compliant
Get Started With Digital Anumati
Why Every AI System Deserves an Assessment
AI built on personal data triggers DPDP obligations and rising AI governance expectations around fairness, transparency, and human oversight. A structured assessment before launch is how you catch risk early and build responsible AI by design.
Without structured AI assessments, businesses face three critical risks:
AI Shipped Without Review
When models go live without a risk assessment, harmful data use, bias, and privacy impacts are discovered in production — when they are hardest and costliest to fix.
Bias and Unfair Outcomes
AI trained on personal data can produce biased or discriminatory outcomes. Without assessing for it, you carry both regulatory and reputational exposure.
Inconsistent, Ad-Hoc Checks
One-off reviews with no standard method give uneven results, miss key risks, and leave nothing reusable or comparable across your AI portfolio.
What Digital Anumati's AI Assessment Does
1. Guided AI Assessments
Walk teams through structured questionnaires covering data use, purpose, bias, transparency, and human oversight — no deep privacy or AI-law expertise needed to start.
2. Triggered Before Launch
Kick off an assessment automatically when a new model or AI feature is proposed, so risk is reviewed before it reaches production — not after.
3. Bias & Fairness Review
Probe for bias, discriminatory outcomes, and groups that may be unfairly affected, surfacing fairness risks while they can still be designed out.
4. Risk Scoring & Mitigations
Score each system's overall risk and get recommended mitigations and controls, tracked to implementation so risk is actually reduced.
5. Reusable & Comparable
Clone assessments for similar models and compare risk across your AI portfolio, building a consistent picture rather than isolated reviews.
6. Documented Outcomes
Produce a complete, exportable assessment report with risks, decisions, and mitigations — evidence of responsible AI for auditors and the Data Protection Board.
Key Capabilities at a Glance
A quick overview of what Digital Anumati's AI Assessment brings to your DPDP compliance stack.
| Capability | What It Delivers |
|---|---|
Guided templates | Structured AI risk questionnaires, DPDP-aligned |
Trigger-based launch | Assessments start when new AI is proposed |
Data-use review | Personal data, purpose, and basis examined |
Bias & fairness check | Discriminatory outcomes and impacts surfaced |
Risk scoring | Overall AI risk rated for each system |
Mitigation tracking | Recommended controls driven to closure |
Portfolio comparison | Risk compared consistently across models |
Audit-ready exports | Complete assessment reports for the DPB |
Up and Running in 3 Steps
Step 1 — Trigger the Assessment
When a new model or AI feature is proposed, the right assessment launches automatically and goes to the owner to complete before development proceeds.
Step 2 — Evaluate & Score
Guided questions capture data use, bias, transparency, and oversight, and scoring logic rates the system's overall risk and flags high-risk elements.
Step 3 — Mitigate & Document
Apply recommended mitigations, track them to completion, and export a complete assessment report as evidence of a responsible launch decision.
Which Teams Benefit from AI Assessment
AI & Data Science Teams
Run guided risk reviews as part of the build, so data-use, bias, and transparency issues are caught and addressed before a model ships.
Data Protection Officers (DPOs)
Ensure every AI system touching personal data is assessed consistently, with documented risk and mitigations you can stand behind.
Legal & Compliance Teams
Standardise how AI risk is evaluated and signed off, with a defensible, comparable record across your AI portfolio.
Risk & Governance Teams
See AI risk scored across the organisation and ensure high-risk systems carry the right controls before and after launch.
Frequently Asked Questions
An AI Assessment is a structured review of an AI or ML system that evaluates how it uses personal data, its purpose, potential bias, transparency, and human oversight, then scores its overall risk and recommends mitigations — so the system can launch responsibly.
Assess AI Risk Before It Ships
Run guided AI assessments, score data-use and bias risk, and document mitigations — building responsible, DPDP-aligned AI by design.
Talk to a DPDP Expert