Governance, risk and compliance in the age of AI

AI is moving fast – from early experimentation with Copilot to more advanced use cases involving automation and AI agents. But what we have seen with our customers is governance, risk and compliance frameworks haven’t kept pace.

In this practical session, we’ll explore what needs to be in place before AI can scale safely across your organisation. From defining ownership and establishing guardrails to managing risk and ensuring compliance, we’ll help you understand how to move from curiosity to controlled adoption.

What you’ll learn

By the end of this session, you’ll have a clearer understanding of:

• The key questions leadership teams should be asking before scaling AI
• The risks organisations are most exposed to — from data leakage to unmanaged AI use
• What separates a safe pilot from a scalable AI operating model
• The governance, security and compliance controls needed for safe adoption
• How to reduce shadow AI and improve user adoption

Why attend

AI is no longer just a technology conversation – it’s a governance, risk and compliance challenge.

Many organisations are:

• Exploring AI tools without clear ownership or guardrails
• Facing concerns around data exposure, compliance and control
• Unsure how to move from pilot to production safely

This session will help you understand what good looks like – and how to build the foundations for AI adoption that is secure, compliant and scalable.

What to have in place before you scale AI

We’ll walk through the core elements every organisation needs in place:

• Clear ownership and governance
• A practical AI risk model covering data, accuracy, bias and supplier risk
• Security guardrails, access controls and monitoring
• Strong data governance and readiness
• Adoption strategies to drive safe, effective usage

What you’ll take away

Attendees will leave with:

• A clear view of what good AI governance looks like
• A practical understanding of key risks and how to manage them
• A framework for safe rollout of Copilot and future AI agents
• Insight into the outputs of a structured AI readiness engagement, including governance frameworks, risk registers and roadmaps

Claire Connor

Enterprise Account Executive at ANS

Claire Connor is a Commercial Account Executive at ANS and a Women in Tech Ambassador, passionate about driving gender diversity and making technology accessible. After entering tech later in her career, she uses her unique perspective to help businesses leverage AI and digital solutions while empowering women to thrive in the industry. The statistics are clear: only 1 in 5 tech workers in the UK are women, and up to 60,000 leave their roles every year. Claire is determined to help change that, one conversation and one opportunity at a time.

Simon Chilcott

Industry Lead: Manufacturing at ANS

With nearly 8 years of dedicated service at ANS. As the Manufacturing Industry Lead, Simon has been at the forefront of driving innovation and excellence within the manufacturing landscape.

Mark Johnson

Head of Pre-Sales: Security at ANS

Mark has over 30 years’ experience in the IT and networking industry. With a background managing highly secure mobile networks for the Armed forces, to owning his own business, Mark joined ANS 8 years ago to take responsibility for building and delivering ANS’ suite of connectivity & Security solutions which include Azure Sentinel, SD WAN, SASE, Cloud and Multi-cloud architectures.

Katie King

Head of Compliance & Infosec at ANS

Katie King is Head of Compliance and Information Security at ANS, helping organisations manage cyber risk and adopt AI securely and responsibly. She specialises in AI governance, compliance, and frameworks such as ISO 27001 and NIST, translating complex requirements into practical, real-world actions. Katie works closely with leadership teams to strengthen resilience, manage regulatory risk, and support safe, scalable innovation.

Jo Montgomery

AI Business Solutions Specialist at Microsoft

Jo works closely with enterprise organisations to help them adopt Microsoft technologies in a way that delivers real business value. She specialises in helping customers move from early AI experimentation to scaled adoption, with a strong focus on readiness, governance, and user adoption. Working alongside some of the UK’s largest retailers, Jo brings practical insight into how organisations can unlock the value of tools like Copilot while staying secure, compliant, and in control.