Executive Summit

AI adoption is accelerating, but executive understanding is struggling to keep pace. With only 21%of C-suite leaders considered AI savvy, many organisations risk missing opportunities, making poor decisions, or failing to govern AI effectively.For CIOs, success depends on more than deploying AI. Leaders across the business need the knowledge and confidence to shape strategy, manage risk, and drive AI-enabled transformation.This session explores how to identify executive AI capability gaps and build the leadership expertise needed to maximise the value of AI investments.

You will learn how to:

• Define the AI knowledge and skills executives need to lead effectively.
• Identify leadership capability gaps that can hinder AI success.
• Build a practical roadmap to strengthen AI literacy across the C-suite.

Allwyn has completed a groundbreaking two-year digital transformation, fundamentally reshaping the technology behind the National Lottery. Allwyn committed to a full replacement of legacy systems - an ambitious promise that has now been delivered, following a comprehensive overhaul that has created a future-ready platform.

Join this session to learn how Allwyn has:

• Delivered an ambitious end-to-end digital transformation programme
• Built a scalable, future-proof National Lottery platform
• Demonstrated a strong commitment to digital excellence

Enterprises are now moving faster than their operating models can support, with legacy processes, brittle architectures, and human‑centred resilience measures unable to keep pace with AI‑driven development cycles and the new agility expectations placed on IT Leaders. There will be a shift towards autonomous, self‑managing IT estates, but how to get there with the persistent challenges of operational drag and reactivity based models can seem an overwhelming question.Join this session to learn:

• A practical roadmap for evolving from manual operations to autonomous, self‑healing systems without losing governance or oversight
• Organisational strategies to realign people, processes, and investment models around machine‑speed defence and recovery
• A board‑ready framework for defining what autonomy is allowed to do, how actions are explained, and how to rapidly reverse errors at scale

AI is actively lowering the barrier to sophisticated attacks, and boards are demanding reassurance — often before the full picture is clear. The real question is no longer whether threats can be detected, but whether CIOs have the cross-domain visibility, automated and agentic response and threat intelligence needed to outpace adversaries.

In this boardroom you will explore:

• Closing AI-driven blind spots across endpoints, cloud and identities before adversaries exploit them
• Responding at speed—when breakout times are minutes, not hours—to protect business outcomes
• Translating threat intelligence into actionable business risks for executive and board confidence

As organisations move from deploying AI to embedding it across the customer journey, the next challenge is orchestrating agentic AI to deliver seamless, proactive, and personalised experiences at scale. This roundtable will explore how leading organisations are combining AI agents, automation, and human expertise to transform customer service, drive operational efficiency, and create measurable business value while maintaining trust, governance, and control.

Discussion topics:

• Harnessing agentic AI to orchestrate end-to-end customer journeys.
• Balancing automation and human expertise to enhance customer experiences.
• Measuring the impact of AI on customer satisfaction, loyalty, and business outcomes.

As pressure mounts to justify technology spend, CIOs must move beyond delivering innovation and focus on creating measurable business value. This roundtable will explore how technology leaders are linking AI, automation, and transformation initiatives to tangible outcomes, accelerating time-to-value, and building a stronger case for future investment.

Key discussion points:

• Demonstrating ROI from AI and digital transformation initiatives.
• Aligning technology investments with strategic business outcomes.
• Accelerating value creation through process optimisation, automation, and operational efficiency.

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

 Frontier AI and emerging agentic systems are reshaping enterprise risk faster than traditional governance can respond. CISOs now face an attack surface defined not only by external threats but by internal, autonomous AI workflows deployed at speed—often without visibility, guardrails, or accountability. Frontier‑class models can be used not just defensively but diagnostically, continuously probing an organisation’s AI landscape to expose governance gaps, shadow systems, and unsafe autonomy. Leaders can blend data‑driven oversight with culture‑driven responsibility to build governance that keeps pace with AI’s velocity.

Join this session to learn:

• How advanced models uncover hidden agentic workflows and governance gaps before attackers do
• How to replace slow, periodic reviews with real‑time, AI‑driven validation of controls and identity boundaries
• Building a culture where every employee strengthens your AI‑driven security posture

Modern enterprise transformation has migrated the workspace directly into the browser. Yet as organisations rush to scale generative AI, traditional endpoint (EDR) and network tools remain fundamentally blind to in-browser threats, malicious extensions, and unsanctioned AI prompts. With 92% of leaders concerned about data leakage through Shadow AI, securing the web workspace is now an existential board-level priority.

Join this session to learn more on:

•  Enforcing real-time prompt data-loss prevention (DLP) across sanctioned and unsanctioned tools.
• Securing BYOD, contractors, and hybrid workforces at the browser layer without cumbersome proxies or costly VDI infrastructure.
• Ingest real-time browser telemetry into SIEM/SOAR platforms to automate threat response before execution.

For two decades, IT finance relied on a predictable model: count seats, track licenses, provision infrastructure, and reconcile costs. AI changes that. It is not seat-based, spending can scale instantly, and consumption rarely aligns with traditional budgeting cycles.Many organisations are discovering that ITAM tools, ERP categories, and chargeback models were built for a world where people controlled spending. In an agentic AI environment, that assumption no longer holds.This session explores what comes next. Join us to discuss:

• How organisations are rebuilding IT finance around token consumption as the new unit of value
• Why FinOps is becoming the governance layer for AI spend
• What effective ownership models and executive reporting frameworks look like in this environment