AI Governance & Risk: Frameworks for Responsible AI Deployment

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AI use-case inventory and risk classification (minimal / limited / high-risk)

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EU AI Act gap analysis and compliance roadmap

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Internal AI usage policy (permitted uses, prohibitions, approval flows)

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AI risk assessment methodology and scoring framework

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Pre-launch compliance checklist for new AI deployments

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Technical documentation templates (model cards, logging, monitoring)

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Human oversight procedures for high-risk AI systems

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Bias testing and explainability requirements

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AI incident response and escalation procedures

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Governance structure design (AI committee, roles, responsibilities)

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AI transparency disclosures for users and regulators

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Team training (legal, product, engineering)

→ Full risk classification across all AI use-cases

→ Internal AI policy with approval flows and prohibited use rules

→ Governance committee with defined roles and escalation procedures

→ Training delivered to legal, product, and engineering teams

⏱ 5–6 weeks

Outcome: full EU AI Act readiness, centralised AI oversight

→ Gap analysis against EU AI Act high-risk obligations

→ Human-in-the-loop procedures for credit and compliance decisions

→ Explainability and auditability requirements for deployed models

→ AI risk assessment methodology with bias testing protocols

⏱ 6–8 weeks

Outcome: regulatory compliance, reduced discrimination risk

→ Internal AI usage policy with data handling rules and approval flows

→ Risk-based pre-launch framework for new AI use-cases

→ Output monitoring and incident response procedures

→ AI transparency disclosures for platform users

⏱ 3–4 weeks

Outcome: controlled AI use, reduced operational and legal risk

Question 1 of 4

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An AI governance framework is the set of policies, procedures, and accountability structures that govern how your organisation develops, deploys, and monitors AI systems. It defines who can use AI and for what purposes, how new AI deployments are evaluated before launch, what documentation must be maintained, and how incidents are handled. For companies in the EU, a governance framework is increasingly a compliance requirement under the EU AI Act — not just a best practice.

The EU AI Act applies to any company that places AI systems on the EU market or uses AI systems whose outputs affect people in the EU — regardless of where the company is based. The obligations depend on the risk classification of your AI systems. High-risk systems face the most stringent requirements: technical documentation, conformity assessments, human oversight, and registration. The first major enforcement deadlines apply from August 2026.

High-risk classification depends on the use case and context, not just the technology. The EU AI Act lists specific high-risk categories in its Annex III — including AI used in credit scoring, employment decisions, educational assessment, critical infrastructure, and law enforcement. If your AI influences decisions about people in these areas, it is likely high-risk. We conduct use-case-by-use-case classification as part of our governance engagements.

High-risk AI systems require: technical documentation describing the system’s purpose, design, and performance; a conformity assessment demonstrating compliance with EU AI Act requirements; logging and monitoring capabilities; instructions for human oversight; and registration in the EU AI Act database. We prepare and review all required documentation as part of our compliance engagements.

An effective internal AI policy should cover: which AI tools are approved for use and by whom; what data can and cannot be entered into AI systems; how AI-generated outputs should be reviewed before use; approval processes for new AI tools or use-cases; specific prohibitions (e.g. using AI for regulated decisions without oversight); and the consequences of policy violations. The policy should be practical enough for non-lawyers to follow and specific enough to be enforceable.

Human oversight means that consequential AI decisions are reviewed, validated, or can be overridden by a human before they take effect. For high-risk AI systems under the EU AI Act, human oversight is a mandatory requirement. In practice, this means defining which decisions require human review, what that review entails, how it is documented, and what happens when a human overrides an AI recommendation. We design human oversight procedures that are proportionate to the risk level and operationally practical.

For a focused engagement covering policy, risk classification, and core documentation, typically 3–6 weeks. Larger organisations with many AI systems, or companies needing full EU AI Act conformity assessment support, may require 8–12 weeks. We scope each engagement after an initial call to understand the number of AI systems, team size, and compliance urgency.

Yes. Using third-party AI tools does not transfer your compliance obligations to the provider. Under the EU AI Act, if you deploy an AI system — even one built on a third-party model — and it affects people in the EU, you are the deployer and carry the associated obligations. Your internal AI policy, oversight procedures, and documentation requirements apply regardless of whether you built the model yourself.