AI Governance Readiness & Advisory

Prove your AI is well‑governed — to customers, investors and boards.

AIGOV-360 turns scattered governance practice into a clear, evidence-backed position. Honest about what is strong, specific about what is missing, and practical about what to do next.


Aligned to the frameworks your stakeholders recognise: ISO/IEC 42001NIST AI RMFEU AI ActGDPR / UK GDPRISO/IEC 27001

What we do

We connect AI risk to your real business — not just the model.

Most of the evidence a buyer wants already exists, scattered across product, data, legal and engineering. We recognise it, structure it, and turn the genuine gaps into a plan.

Assess

A structured readiness assessment across your organisation and AI systems — governance, data, oversight, testing, vendors and operations, sized to each system's risk.

Evidence

We gather and index the proof behind your AI — what exists, where it lives, and what is missing — so you can answer a customer or investor with confidence.

Improve

A prioritised, proportionate roadmap from identified gaps to stronger governance — with owners, dependencies and a clear sequence, not a heavyweight programme.

Why this matters

Governance becomes real when someone asks for proof.

Enterprise buyers, investors, boards and procurement teams increasingly ask: who owns the AI, what data is used, how is it tested, and how are risks and incidents handled? The practice often exists — but it is fragmented and hard to evidence when it counts.

Our role

One coherent governance story

AIGOV-360 brings it together: what the system does, where it affects people or decisions, which controls apply, what evidence exists, and what should happen next — in a form your stakeholders accept.

What we assess

Six governance domains, activated in proportion to each system.

Low-risk systems get a light touch; higher-risk and agentic systems get the depth they need.

1

Governance & accountability

Owner, policy, RACI, system inventory.

2

Data & privacy

Data flows, privacy impact, retention, access.

3

Model, vendor & supply chain

Provider evidence, limitations, dependencies, change.

4

Human oversight

Review, escalation, override, challenge and redress.

5

Testing & assurance

Validation, fairness, robustness, security testing.

6

Operations & lifecycle

Monitoring, incidents, audit trail, reassessment.

What you receive

A rigorous pack for action, assurance and due diligence.

1

Reviewer report

Detailed findings and where evidence is strong or missing.

2

Executive readiness summary

A clear management and due-diligence view of your position.

3

Readiness statement

Issued only where the reviewed evidence supports it.

4

Evidence index

A clear record of what was reviewed and what remains.

5

Prioritised remediation roadmap

Practical actions, ownership, dependencies and sequencing — sized to your risk.

How we engage

Choose the depth that matches your risk and needs.

Tier 1

Readiness Assessment


  • Structured assessment across the organisation and AI systems
  • Evidence review, findings and readiness position
  • Prioritised roadmap and final review
Tier 2

Assessment + Advisory


  • Everything in the readiness assessment
  • Working sessions to explain gaps and implications
  • Practical remediation path, priorities and dependencies
Tier 3

Implementation + Reassessment


  • Tailored governance templates and evidence guidance
  • Support to implement the agreed controls
  • Defined reassessment after remediation

Ongoing annual or six-monthly governance reviews are available for established systems.

Get in touch

Start with one focused discovery session.

We map your AI systems, business processes, decision impact, data, owners and available evidence — then recommend a proportionate scope. No heavyweight programme required.

Email: raghuram.saripalli@saisaripalli.com

Sai Saripalli Ltd · United Kingdom

We reply within two working days.