Niresh Rajah, Chief Data & AI Officer, Chair – UK AI for Financial Services, Fellow at Imperial College and Associate Fellow at Oxford University 

• Defining agentic AI: what distinguishes it from traditional and generative AI
• From chatbots and co-pilots to fully autonomous agents: the evolution of capability
• Strategic opportunities: customer service, sales automation, compliance, financial forecasting and personalisation at scale
• Risk landscape: where autonomous decision-making creates legal, operational and reputational liability
• Building the board-level business case: ROI frameworks and the metrics that matter

Sapan Dogra, Managing Director, Data & AI, Accenture 

• The competitive imperative: why UK businesses must act now or risk falling behind
• Current adoption rates and how the UK compares to the US, EU and China
• The productivity dividend: measurable gains from early adopters across key sectors
• The US-UK Tech Prosperity Deal: what the Anthropic, Nscale, OpenAI, Microsoft and NVIDIA investments unlock for British firms
• From pilot to production: setting the ambition for the day ahead

Moderator 

Niresh Rajah, Chief Data & AI Officer, Chair – UK AI for Financial Services, Fellow at Imperial College and Associate Fellow at Oxford University 

Panellists 

Emily Campbell-Ratcliffe, Head of AI for Local Growth, Department for Science, Innovation and Technology

Anthony Hills, Regional Director, UK&I, Enterprise and Public Sector, Nvidia

AI Disruption Use Case I – Banking, rewired for the age of AI, with a real-time agentic balance sheet

Project Atlas is on a mission to make banking instant and hyper-personal – customers should not have to wait days or weeks for generic, off-the shelf products. Delivering that requires re-wiring a bank from the inside out using frontier AI technology. A bank, in its simplest form, is a balance sheet, recycling deposits into loans. Today that work is done by slow, siloed, human committees meeting at best weekly, at worst annually. Our balance sheet agent, Aurora, collapses these processes into a single, continuous AI engine. Aurora is based on advanced deep reinforcement leaning enabling our bank to price deposits, allocate capital and underwrite loans continuously – so we can generate in real-time bespoke, hyper-personal products, at better prices, without taking on more risk

Nick Pedersen, Co-Founder and CEO, Project Atlas

AI Disruption Use Case II - Building the Consulting Firm of the Future

Consulting is being deeply transformed by AI. It is not an "if", it is a "how". A consulting firm's value lies in its methodology, its expertise and its accumulated IP, delivered by talented teams project by project. AI will not replace that value, but it will reshape how it is delivered. And the real transformation is collective, not individual: it is about automating full sub-parts of projects, which takes agentic architecture, not a chatbot per consultant. Cigno encodes a firm's own methodology, frameworks and corpus into governed multi-agent workflows, running on a model-agnostic, sovereign infrastructure. Consulting-grade deliverables, at senior-level quality, with full control of IP. Cigno has been co-designed with leading consulting firms, to work alongside their consultants.

Philippe Reynier, Co-Founder & CEO, Cigno AI

AI Disruption Use Case III

Adam Shaw, CEO, Data for Good 

How is Agentic AI reshaping enterprise cybersecurity risk and what strategies are needed to secure the “agentic enterprise”?

• Governance frameworks for autonomous systems: accountability at board and executive level
• Human-in-the-loop design: when and how to maintain meaningful oversight
• Dynamic policy enforcement and real-time compliance monitoring in production
• Ethical guardrails: bias, fairness, transparency and explainability in agentic systems
• Data privacy in agentic workflows: managing sensitive data handled by AI agents
• Practical steps to audit-readiness: documentation, logging and explainability

Panellists

Professor Lukasz Szpruch, School of Mathematics, University of Edinburg; Director of Finance and Economics Programme, The Alan Turing Institute

Tim McGarr MBA, Global Head of AI Market Development & Partnerships (Regulatory Services), The British Standards Institution

• Change management: building buy-in from board to front line
• Upskilling and reskilling: developing internal AI capability and literacy across the workforce
• Data and infrastructure readiness: what you need in place before deploying agents
• Integration challenges: connecting agentic AI to legacy systems and existing workflows
• Procurement and vendor selection: how to navigate the complex vendor landscape, assess third-party AI risks and what to look for in an agentic AI partner 
• Culture and trust: overcoming internal resistance to autonomous decision-making

Panellists

Ashutosh Pandey, VP Project Management, Quality and Process, Eutelsat Group

Jessica Ridella, Global Technology Managing Director, IBM UKI 

Addressing the acute skills shortages and cultural shifts required for successful agentic AI adoption

• Leveraging initiatives like the UK Government’s AI Skills Boost to upskill the workforce for the agentic era. Practical strategies for “digitizing skills at scale”
• How executive roles will evolve: the AI-augmented C-suite
• Decision-making in the age of autonomous systems: what remains distinctly human?
• The digital workforce of tomorrow: humans and agents working in tandem
• New job categories, skills and career paths created by agentic AI deployment
• Managing a blended workforce: performance, accountability and organisational culture
• Board-level AI governance: what directors and non-executives need to understand

Panellists

Michael Smets, Professor, Said Business School, University of Oxford

Nida Naeem, Lead Director, AI & Advanced Technology Steering Group, UK National Audit Office

• Identifying the right agentic AI use cases for your organisation: where to start
• Building the internal business case: engaging your board and securing investment
• Governance and risk frameworks to establish before you deploy
• Quick wins vs long-term transformation: a phased and pragmatic approach
• Measuring success: KPIs, ROI modelling and reporting to the board
• Resources and support: UK Government programmes, industry bodies and the ecosystem

Moderator

Niresh Rajah, Chief Data & AI Officer, Chair – UK AI for Financial Services, Fellow at Imperial College and Associate Fellow at Oxford University

Panellists

David Crelley, Head of Responsible AI and Data, Admiral Group Plc 

Clive Kelman, Data and AI Exploitation Lead, BAE Systems

A. Agentic AI in consulting – reinventing knowledge work  

• From individual to collective productivity: why giving every consultant a chatbot saves time, but only agentic workflows orchestrating tens of specialised agents actually transform the firm
• Encoding the firm's edge: turning proprietary methodology, frameworks and private corpus into governed, reproducible multi-agent workflows, and why this integrated stack is the real moat against increasingly capable LLMs
• Reinventing the talent model: from pyramid to diamond, the redefined junior role, and how firms grow senior judgment
• Trust, grounding and governance: keeping deliverables consulting-grade and preventing hallucinations through source verification and reviewer layers
• Data sovereignty as a competitive filter: Regulatory risk (e.g. CLOUD Act exposure), model-agnosticism, and why client RFPs increasingly include how AI is used as a key decision criterion
• The business model reset: erosion of the billable hour, the shift to fixed-fee and outcome-based pricing, and software-like margins for firms that productise their services

Moderators

Philippe Reynier, CEO & Co-founder, Cigno

Tony Clark, CEO, NextWave  

Jeff Tijssen, Senior Advisor, Bain & Company

Frederica de Stefano, Associate Professor at Saïd Business School, University of Oxford 
 
B.  Speaker, theme and bullet points to be confirmed

C.  Agentic AI in operations: workflow orchestration and supply chain optimisation

• Mapping your operations for agentic AI deployment: where the highest-value opportunities lie
• Workflow orchestration: connecting disparate systems through autonomous agents
• Supply chain use cases: demand forecasting, logistics, procurement and inventory
• Reducing operational costs and error rates through intelligent automation
• Integration with ERP, CRM and enterprise data platforms

Moderator

Speaker to be confirmed

Niresh Rajah, Chief Data & AI Officer, Chair – UK AI for Financial Services, Fellow at Imperial College and Associate Fellow at Oxford University