Pillar 2 of 4 · AI Governance Solutions

AI governance that lets you scale AI with confidence

Frameworks, risk controls and Responsible AI by design, mapped to the EU AI Act, NIST AI RMF, ISO/IEC 42001, ISO/IEC 27090 and ISO/IEC 27001, for generative and agentic AI.

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What is included

AI Governance Solutions

Governance frameworks, Risk management, Compliance, AI lifecycle controls and Reusable accelerators.

AI Governance Solutions

Governance Frameworks

Frameworks and policies mapped to NIST AI RMF, the EU AI Act, ISO/IEC 42001, ISO/IEC 27090 and ISO/IEC 27001.

AI governance maturity assessment
Framework, policy and acceptable-use design
Roles, RACI and approval workflows

AI Governance Solutions

Risk Management

Identify, assess and reduce AI risk before and after launch.

AI risk classification and risk register
Fairness, privacy and security reviews
Impact assessments for high-risk use cases

AI Governance Solutions

Compliance

Meet regulatory and certification requirements with audit-ready evidence.

EU AI Act risk-tier classification and obligations
ISO/IEC 42001 AI management system, aligned with ISO/IEC 27090 and ISO/IEC 27001
Documentation, transparency and oversight evidence

AI Governance Solutions

AI Lifecycle Controls

Controls from design to retirement, so every AI system stays governed.

AI system and model register
Evaluation and release gates
Drift, incident monitoring and periodic review

AI Governance Solutions

Reusable Accelerators

Ready-made templates and toolkits that shorten the time to governance.

Policy and standard templates
Risk and impact assessment toolkits
Control libraries mapped to frameworks

Next step

Not sure where to start?

Book a discovery call and we will recommend the right starting point for your organisation.

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EU AI Act in one table

Four risk tiers. Know yours.

Risk tier	What it means	Example
Unacceptable risk	Banned outright	Social scoring
High risk	Strict obligations: risk management, data governance, documentation, human oversight	AI in hiring or credit scoring
Limited risk	Transparency duties	Disclosing that users are talking to a chatbot
Minimal risk	No new obligations	Spam filters

Insights

AI governance, explained

Short explainers our team shares with leaders and risk teams every week.

What is AI governance: policies, risk management, accountability and monitoring

NIST AI RMF: govern, map, measure, manage

FAQ

AI governance questions

What is AI governance?

AI governance is the set of policies, processes, roles and controls that keep AI systems trustworthy, compliant and aligned with business goals across their lifecycle, from use-case approval to monitoring after launch.

Does the EU AI Act apply to Indian companies?

It can. The EU AI Act applies to providers and deployers whose AI systems are placed on the EU market or whose outputs are used in the EU, regardless of where the company is based. We help you classify systems by risk tier and plan the obligations that apply.

What are ISO/IEC 42001, 27090 and 27001?

ISO/IEC 42001 is the international standard for an AI management system (AIMS). It sets requirements for AI policy, roles, risk assessment, impact assessment, controls and continual improvement, and organisations can be certified against it. We implement it together with ISO/IEC 27090 guidance on security threats to AI systems and ISO/IEC 27001 for information security.

How do you govern AI agents?

Agentic AI needs controls beyond model governance: scoped tool permissions, human approval for high-impact actions, execution limits, audit logs, evaluation before release and monitoring for loops and misuse. We design these as policy-as-code wherever possible.

How long does an AI governance engagement take?

A focused maturity assessment and roadmap typically takes a few weeks. Framework design and implementation run longer and depend on the number of AI systems and teams in scope. We agree the scope with you after a discovery call.

4 core integrated pillars