A One-Day, Industry-Led Conference & Networking Exhibition
Leverage The Latest AI & Automation Innovations To Drive Productivity & ROI, While Navigating Regulations & Maintaining Key Human Oversight With:
Value-Adding, Human-Controlled, Compliant & Trustworthy AI & Automation Strategies Which Deliver Real, Business-Critical Results & Operational Efficiencies At Scale
08.15 Registration, Informal Networking
OPENING REMARKS
09.00 GIC Welcome & Morning Chair’s Opening Remarks
Jamie Robinson, Head of Digital Transformation, The RNLI
HUMAN IN THE LOOP: THE HUMAN/AI RELATIONSHIP
09.10 Calibrate AI & Automation As Tools To Support Human Input & Enhance Experiences, Without Losing The Essential Personal Touch
- Knowing the limits; across different business practices and workflows, where should the line be drawn between AI automation and the need for human involvement?
- Address concerns and fears around AI-related job losses with clear communications that reassure colleagues and establish manageable expectations
- How can colleagues and managers take ownership of AI processes to drive efficiency, by automating low-value tasks and saving time for high-value work?
- Build clear safeguards and ethical practices into automation to foster trust among employees and customers alike
Shrabani Patnaik, Group Head of Data & AI Operations Kingfisher (B&Q, Screwfix, Castorama, Bricodepot), Kingfisher PLC
AI’S IMPACT ON WORKFLOWS & STRUCTURES
NEW TOPIC FOR 2027!
09.30 Embed AI & Automation Into Business Workflows At All Levels, To Increase Efficiencies & Deliver High-Quality Results
- How can day-to-day workflows harness automation to add measurable value across the organisation?
- Adapt, or overhaul? Identify where AI and automation can be baked into existing processes, and where structures need to be rebuilt from the ground up
- Thinking outside the box: deep-dive into everyday business processes to highlight innovative opportunities for AI application
- Promote a widespread awareness of AI governance and regulations to ensure that all AI usage, both large-scale and small, remains compliant
Ben Sawyer, Head of Field Continuous Improvement, British Gas
EMPOWERING EMPLOYEES: AI ADOPTION, UPSKILLING & FLUENCY
PANEL Q&A
09.50 Engage & Upskill Colleagues To Boost AI Adoption, Achieve Fluency & Drive Improved Results Through Effective Education
- AI is a tool; ensure your teams are trained with the proper skills to deploy it effectively
- Position AI champions and empower colleagues to go beyond low-level usage by finding and building innovative new solutions
- Demystify AI, cut through the jargon, address concerns and overcome resistance with practical lessons learned and real use cases
- Unlock hidden automation opportunities within day-to-day workflows, while maintaining appropriate guardrails and safeguards to keep teams compliant
Clement Gavrila, Head of AI Products, Virgin Media O2
Sakshi Mishra, Insight & Analytics Manager, Asda
Sebastian Raaff, Director, AI & Innovation Change, Novartis
Amal Makwana, SVP, Product & Engineering Leader, AI & Platforms Delivery, Technology Strategy, Citi
Shrabani Patnaik, Group Head of Data & AI Operations Kingfisher (B&Q, Screwfix, Castorama, Bricodepot), Kingfisher PLC
10.30 Bonus Session; Reserved For Exclusive Conference Partner
11.00 Morning Refreshment Break & Informal Networking
EFFECTIVE DATA USAGE FOR IMPROVED RESULTS
11.30 From Data To Decisions – Turning Information Into Better Actions & Outcomes
- Garbage in, garbage out: before AI can deliver meaningful results, organisations need the right data, clear definitions and trusted information. AI can amplify what you give it, but it cannot fix poor foundations.
- Ask better questions, get better answers: start with the decision you need to make, identify the information that matters, and use AI as an enabler to turn data into insight, action and better outcomes.
- Five practical takeaways: simple things you can do differently tomorrow to move beyond producing reports and start using data to drive better decisions, actions and results.
Priyanka Shah Malkan, Head of Transformation, TUI
AI GOVERNANCE, REGULATIONS & COMPLIANCE
PANEL Q&A | CRITICAL REGULATORY UPDATES
11.50 Apply Rigorous Standards Of AI Governance Business-Wide To Comply With The Regulatory Landscape, Build Trustworthy Processes, & Protect Your People
- Deep-dive into the latest regulations around AI usage to ensure full operational compliance, navigate the critical dos and don’t, and understand the risks and pitfalls of non-compliance
- Embed AI governance as the foundation stone on which systems and workflows are built, to solidify compliance, trust and ethical practice for employees and customers alike
- What key lessons can be learned from AI practices in other industries, including those that are most heavily regulated?
- With the regulatory landscape evolving at pace, how can you keep ahead of the latest developments?
Prasanna Ravindran, AI Factory Lead, Virgin Media O2
Grace Cronin, Executive Director MS&T Systems & Engineering, Bristol Myers Squibb
AI & AUTOMATION FOR ROI & BUSINESS GROWTH
CASE STUDY
12.20 Secure Senior Buy-In & Long-Term Investment With Measurable Results That Drive Continuous Business Growth
- Assess the AI tools which represent the best and most cost-efficient solutions, tailored to your desired results
- Balance initial and ongoing costs against measurable financial outcomes to find the optimum level of investment, and avoid overcommitment or underutilisation
- Embed agility and adaptability into AI-powered business growth to ensure you can keep pace with tech evolutions and market shifts
- Gather relevant feedback and monitor output to validate your strategies’ impact and feed into continuous improvement
Tim Lawless, GTM AI Portfolio & Transformation Lead, E.ON Next
12.40 Lunch & Informal Networking For Speakers, Delegates & Partners
OPENING REMARKS
13.40 Afternoon Chair’s Opening Remarks
TRUST, MISINFORMATION & ETHICS
PANEL Q&A
13.50 Navigate The Ethics & Pitfalls Of AI Usage To Secure Long-Term Reputational Strength, Combat Misinformation & Truly Earn Consumer Trust
- Establish clear and transparent communication around ethical AI usage so that employees and customers alike understand what is AI-driven, and can accordingly make informed choices
- Is AI the right solution to your problem? Identify the business practices in which direct human interaction is most necessary, and make sure that rapid advancement is not outpacing what the tech can actually do
- How can you keep data usage practices ethical, eliminate biases, and reduce the risk of harmful misinformation?
- Address concerns around sustainability and build long-term environmental responsibility into your AI and automation strategies
Anu Awasthi, Director, Product Owner – C&C Cloud, Analytics, Automation & Process Mining Products, GSK
David Wilson, Global Digital Transformation & Innovation Director, Kyowa Kirin
Heather Walker, Head of AI & ML Engineering, Specsavers
Jamie Robinson, Head of Digital Transformation, The RNLI
FROM AI USE CASE TO ENTERPRISE AGENTIC PLATFORM: WHAT IT REALLY TAKES TO SCALE AI
NEW TOPIC FOR 2027!
14.20 Thinking Big! Power Up Your AI & Automation Strategies To Become Key Organisation-Wide Business Drivers That Deliver Real Results At Scale
- How can you take automation from a proof of concept to being rolled out at wide scale across organisations?
- Keeping pace; as AI and automation technology continues to evolve, how quickly can automated processes be built and deployed, without compromising on quality?
- Develop rigorous testing processes to ensure that AI and automation systems are consistent and reliable before they are employed business-wide
- The right tool for the job; identify friction points and bottlenecks where AI can best deliver real value, to ensure that AI tech is directly serving business needs
Ekaterina Polishchuk, Global Product Manager – AI, Nissan Motor Corporation
CRITICAL AI MEASUREMENTS & METRICS
NEW TOPIC FOR 2027!
14.40 Evaluate AI Results In Both Financial & Non-Financial Terms In Order To Adapt, Evolve & Drive Operational Excellence
- What are the key ways in which AI and automation outcomes can be measured and incorporated into a clear and digestible narrative?
- Harness critical feedback and monitor operational outcomes to drive continuous improvement at scale
- Learning from failure; where has AI deployment led to mistakes and negative issues, and how can these pitfalls be avoided?
- Deep-dive into the latest AI use cases that show measurable and quantifiable results and make the case for widespread automation
Andrew Mohammed, Director, Data & AI, OVO
15.00 Bonus Session; Reserved For Exclusive Conference Partner
15.35 Afternoon Refreshment Break & Informal Networking
AI AS A PRODUCTIVITY DRIVER
NEW TOPIC FOR 2027!
16.05 Ensure AI Is Serving People, Not The Other Way Around, By Unlocking Efficient, Time-Saving & Labour-Reducing Automation Processes
- Explore the latest tools and techniques that colleagues can use to increase personal productivity without reducing output quality
- How can AI drive efficiency and productivity business-wide, and what safeguards need to be in place to maintain critical standards?
- Worker smarter not harder; strike the right balance between essential human oversight and processes that can be automated, to free up time and resources for high-value work
- Empower colleagues to seek out and share new AI approaches and innovative automation systems that unlock further productivity gains
ENGAGING SENIOR LEADERSHIP IN THE AI & AUTOMATION JOURNEY
16.25 Empower Senior Leaders As AI Champions To Cascade Best Practices Down From The Top, Without Losing Sight Of Ethics, Governance & Humanity
- Get ahead of the curve! How can senior leaders best equip, train and upskill both themselves and colleagues, at all levels of the organisation, in business-critical AI usage?
- Secure long-term senior buy-in by demonstrating the huge potential of AI-powered outcomes, in both financial and non-financial terms
- How do managers need to adapt in order to manage AI agents as well as human colleagues, and to ensure an effective working relationship between the two?
- Leading from the top; embed AI governance as a key concern by instilling best practices for compliance and ethical usage at top management levels
David Mead, Senior AI Product Manager, Sky
NEW AI & AUTOMATION INNOVATIONS & USE CASES
PANEL Q&A | CRITICAL UPDATES FOR 2027
16.45 Keep Pace With The Ever-Evolving AI Landscape By Learning From Practical Examples & Real-World Use Cases Around The Latest Automation Innovations
- Evaluate and analyse the latest AI innovations to unlock game-changing new tech potential
- Scanning the horizon; what new AI developments are around the corner, and which ones represent the best fit for your business operations?
- Keeping the customer in mind; how are consumers’ expectations around AI evolving, and how can you ensure that the technology is serving them first and foremost?
- Hear practical use cases on AI deployment; what worked, what didn’t, and what lessons can be learned?
German Faraoni Heidenreich, Global Director Data & Shared Services, Reckitt
Somnath Biswas, Head of AI Products, The AA
Sarvesh Ramamoorthy, Lead AI Engineer, AXA UK
Sasidhar Parnandi, Principal QE Lead, Leeds Building Society
17.15 Afternoon Chair’s Closing Remarks & Close Of Conference