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▸ AI AUDIT · AI READINESS ASSESSMENT

Know where your AI stands before it becomes a risk.

A structured readiness assessment of your AI system, run against recognised governance, privacy, security and risk-control frameworks. You answer guided questions about how the system actually works; you get back a scored view of what is in place, what is missing, and what to fix first.

AI governance audit and AI risk assessment for Indian businesses

Guided self-serve assessment · one framework per ₹1,799 audit · human review and certification are not included.

001
Dr. Nitnem Singh Sodhi
ANSI/ABICB lead auditor · ISO 42001 / 27001 / 27701
  • ▸ Made in India
  • ▸ Signed engagement scoped separately (ISO 42001 / 27001 / 27701)
  • ▸ Trust & accreditations
// WHY AUDIT AI

Six questions your buyers, board and regulators will ask.

Most teams can describe what their AI does. Far fewer can evidence how it is governed. The audit works through the questions that decide procurement reviews, board sign-offs and regulatory correspondence.

Q01

Who is accountable for AI decisions?

Named ownership for model changes, contested outputs and escalation — the first thing any reviewer asks.

Q02

What data can the system access?

Data classes, sources and retention behind the system, including anything personal or regulated.

Q03

Are privacy and security controls documented?

Whether the controls you rely on exist on paper as well as in practice.

Q04

Can humans review or intervene?

Oversight paths, override routes and the record left behind when someone steps in.

Q05

Are model and vendor risks understood?

Third-party models, processors and dependencies, and what happens when one changes underneath you.

Q06

Can you evidence how the system is governed?

The difference between believing you are in good shape and being able to show it on request.

// WHAT IT CHECKS

Six control areas. One framework per run.

Governance & accountability

Ownership, policy, lifecycle decisions and change control.

Privacy & data protection

Personal data handling, lawful basis, retention and subject rights.

Security

Access, protection of the system and its data, incident readiness.

Transparency & documentation

What is written down, and whether it matches the running system.

Human oversight

Review, intervention and escalation routes around automated output.

Operational & third-party risk

Vendors, models, dependencies and operational resilience.

The twelve frameworks available

Choose one per audit. Tap any framework for its scope. Bharat NeuroTech is not affiliated with, endorsed by or accredited by these standards bodies.

// WHAT YOU RECEIVE

Everything the ₹1,799 run produces.

  • 16 control-mapped questions for the framework you select
  • Evidence-supported assessment where you attach documents
  • Scored findings with control and clause coverage
  • Severity grading and risk-if-unaddressed for each finding
  • Remediation steps with effort indication
  • Risk heatmap across the assessed domains
  • Regulator / auditor-style questions where generated
  • Remediation checklist you can work through
  • Downloadable PDF report
  • Shareable public score card

Not included

Stated plainly, so there is no ambiguity about what you are buying.

  • No human review
  • No certification
  • No legal opinion
  • No accredited attestation
  • No guarantee of compliance

This is a readiness assessment — a clause-mapped assessment against the control set for the framework you select.

// SAMPLE OUTPUT

What the report looks like.

Illustrative exampleISO/IEC 42001 · readiness assessment
62
Readiness score / 100
Assessed against the control set for the selected framework.
FINDING 04Severity: High

Accountability for AI-assisted decisions is described informally, but no named owner or documented decision-review step is evidenced.

Risk if unaddressed
Reviewers cannot establish who authorised a model change or who reviews contested outputs — a common blocker in procurement and regulator questioning.
Remediation
Name an accountable owner per AI system, record the review step in the change log, and retain evidence of the last two reviews. Low effort, no engineering dependency.

The sample above is illustrative — written to show the structure of a finding, not a customer result. Full specimen reports, including the exported PDF layout, are published in the sample gallery.

The audit chat is free for 5 messages a day without signing in.

// LEVELS OF ENGAGEMENT

Three levels. Different scope, not different sizes of the same thing.

Start self-serve to see where you stand. Bring in a human when the decision is contested. Commission a signed engagement when someone external needs a named auditor on record.

LEVEL 1

Guided AI Audit

₹1,799
per run · one framework

For teams who need to know where they stand, this week.

  • Self-serve, guided end to end
  • One selected framework per run
  • 16 control-mapped questions
  • Scored report, findings and remediation output
  • No human review included
LEVEL 2

Expert Consultation

₹4,500
per hour

For teams who want a human to read the situation with them.

  • 60 minutes with Dr. Sodhi
  • Written action map after the session
  • 24-hour async follow-up window
  • Scoping for framework choice and sequence
  • Not an audit validation or certification
LEVEL 3

Signed Governance Engagement

From ₹24,499
manually scoped and quoted

For organisations that need a named lead auditor on record.

  • ISO/IEC 42001, 27001 and 27701 only
  • Human-led engagement, signed by Dr. Sodhi
  • Scope, timeline and fee agreed up front
  • No self-serve purchase — scoped on a call

Dr. Sodhi is trusted by:

  • ApolloClinics

    Consultant Psychologist & Therapist

  • APAAmerican Psychological Association

    Clinical Neuropsychologist · International Member

  • IAFIndian Air Force

    Ex-Military Psychologist (Medical Specialist)

  • UPPolice

    Ex-Consultant & Visiting Faculty · Forensics

  • ISO 42001· Lead Auditor (AI)
  • ISO 27001· Lead Auditor (Security)
  • ISO 27701· Lead Auditor (Privacy)
  • ANSI/ABICB accredited lead auditor
// METHODOLOGY

How the assessment is actually run.

12 frameworks

One framework per run; the intake is specific to the framework you select.

16 controls per frame

Questions are mapped to the control set, not generic questionnaire filler.

Evidence mapping

Documents you attach are read against the controls they speak to.

Findings

Pass / gap-style findings where applicable, each with clause coverage.

Severity & ordering

Severity grading, risk if unaddressed, and remediation ordered by effort.

7-day window

Each run stays open for seven days; answers autosave and you can resume.

This is a readiness assessment, not certification.

// WHY BHARAT NEUROTECH

Led by a working lead auditor.

Dr. Nitnem Singh Sodhi, Managing Director of Bharat NeuroTech, is an ANSI/ABICB-accredited lead auditor for ISO/IEC 42001, 27001 and 27701 (March 2025) and a senior mental health specialist. The control sets behind this assessment, and the signed engagements on those three ISO frames, are his work — not delegated to a junior reviewer. The assessment itself is built and run in-house by the same team that builds our AI products.

FAQ

Questions, answered.

  • A structured readiness assessment of how your AI system is governed. You pick one recognised framework, answer 16 control-mapped questions about your system, attach any supporting documents you have, and receive a scored assessment: findings, severity, risk if unaddressed, remediation steps and a risk heatmap. It tells you where you stand and what to fix first.

// NEXT STEP

Start where you actually are.

One framework, seven days, a scored report you can hand to a buyer, a board or a regulator as your own readiness view. If the situation needs a human read first, take the hour with Dr. Sodhi instead.

Bharat NeuroTech offers self-serve AI audits across 12 global and Indian standards at a flat ₹1,799 per guided run with no human review; a separately scoped engagement signed by Dr. Sodhi is available on ISO/IEC 42001, 27001 and 27701 from ₹24,499.

— Bharat NeuroTech · /ai-audit