AI Governance

Artificial intelligence is moving from experimentation to everyday business use. Through deploying generative AI tools to staff, embedding AI into products, or procuring AI-enabled platforms, organisations are under pressure to innovate quickly, all while managing legal, ethical, operational, and reputational risk.
At Privacy 108, we help organisations design and implement fit-for-purpose AI governance frameworks that enable innovation with clear guardrails. We translate complex regulatory expectations and emerging best practice into practical controls, defined accountabilities, and decision pathways that stand up to scrutiny from executives, customers, regulators, and partners.
Our team designs and embeds fit-for-purpose AI governance for organisations that supports innovation while ensuring AI is used responsibly and lawfully.

What is AI Governance?

AI governance provides a structured approach for managing how AI is adopted, approved, deployed, monitored, and changed across an organisation. In practical terms, it establishes:
  • Clear policies and standards for acceptable and prohibited AI use
  • Defined roles and decision rights for approving and overseeing AI
  • Structured intake and risk assessment processes for new use cases
  • Visibility of AI systems, tools, and vendors in use
  • Ongoing monitoring, assurance, and change control mechanisms
Without these foundations, AI risks can arise from inconsistent decision-making, unclear ownership, unmanaged vendors, over-reliance on outputs, or rapid deployment without oversight. Common AI-related risks include:
  • Handling of personal information in breach of privacy laws
  • Outputs that contain bias, or which lead to unfair, discriminatory, or inequitable outcomes
  • Security vulnerabilities and data leakage
  • Lack of transparency in AI-enabled decisions, and
  • Contractual and vendor risk in AI-enabled services
Strong AI governance ensures that innovation is supported by structure, evidence, and accountability to address these risks at the outset.
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Our approach to AI Governance

Privacy 108 combines legal expertise, privacy leadership, and operational risk management to deliver AI governance that works in practice. We start by understanding your operating model, risk appetite, regulatory exposure, and AI maturity. From there, we design a governance framework tailored to your organisation’s size, complexity, and sector.
Embedding accountability
Clearly defining who approves AI use cases, what evidence is required, and how decisions are documented and escalated.
Integrating with existing processes
Aligning AI governance with privacy, security, procurement, or risk and compliance workflows so that controls are part of existing corporate processes.
Risk-based decision-making
Scaling review and oversight based on the nature of the AI use case, the data involved, and the potential impact on the organisation or external stakeholders.
Sustainability
Ensuring that policies, registers, templates, and workflows are practical, usable, and supported by monitoring and assurance mechanisms.

What you get

Depending on your needs, Privacy 108 can deliver the following during an AI governance engagement:

We design and implement a comprehensive AI governance framework aligned to your operating environment. This includes policies, standards, committee structures (where required), decision rights, escalation pathways, and reporting mechanisms that provide clear oversight of AI use across the organisation.

Practical acceptable use policies and workforce guidance that define the tools that may be used, what data can be entered into AI systems, requirements in relation to outputs and human review, and escalation pathways for concerns or incidents.

We design intake and approval workflows for new or materially changed AI use cases. These processes ensure proposals are assessed based on risk, supported by documented evidence, and approved through appropriate governance channels.

Structured AI risk assessment templates and treatment plans covering privacy, security, fairness and bias, transparency, human oversight and accountability considerations, as well as due diligence of third-party AI providers.

AI registers to provide visibility of AI systems, tools, and vendors across the organisation. This includes ownership, data dependencies, approval status, control mapping, and assurance activities—supporting executive reporting and regulator readiness.

Monitoring and assurance mechanisms, such as logging and usage monitoring, periodic review cycles and executive and reporting metrics.
This provides a structured, defensible approach to AI adoption that reduces risk, supports regulatory compliance, and builds trust with stakeholders.

When to engage Privacy 108

We recommend that you reach out before implementing any potential high-risk uses of AI in your organisation, such as:
  • Rolling out generative AI tools for organisation-wide use
  • Embedding AI into customer-facing products or automated decision-making
  • Integrating AI into sensitive workflows (e.g. health, finance, HR, compliance)
Early engagement allows AI governance to shape adoption—rather than retrofitting controls after issues arise.

Talk to us

Privacy 108 can help if you want practical AI governance that enables your organisation to move confidently, supported by clear accountability, structured risk management, and documentation. Contact our team to discuss how we can support your AI governance journey.

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