Delegates can expect a full day of forward‑looking discussion and presentations including:
- From Doing More with Less to Doing More with Precision: The Governance Blueprint for Agentic AI and Agentic Automation in Local Government
A strategic presentation outlining how councils and public sector organisations can shift from doing more with less to doing more with precision, using governance- first automation to ensure agentic AI delivers value, protects trust, and strengthens financial resilience. - When systems accelerate: AI, fiscal stress, and the future role of local government
This presentation examines how global economic system shifts, rising fiscal pressures, and rapid advances in artificial intelligence are converging to reshape the environment in which councils operate. The presentation connects big-picture forces to their local consequences, showing how changes in technology, social progress, and institutional capacity are driving new patterns of demand and risk. It explores why local government sits at the centre of societal stability during periods of disruption and sets out a clear, practical framework for building resilience through prevention-first thinking, AI-native institutions, and place-based innovation. The session offers strategic insight for senior leaders seeking to understand what comes next and how local government can shape the future rather than simply respond to it. - A regulator’s perspective on AI in a critical national infrastructure sector
From a regulator’s perspective, this session explores how AI is reshaping risk, governance, and assurance in CNI. It examines challenges and practical lessons for policymakers overseeing AI deployment in complex, safety critical environments. - Make Agentic AI Real: From Experimentation to Production
Agentic AI is moving quickly from experimentation into real-world deployment, but the real challenge is turning early promise into scalable, trusted, and production-ready solutions. This session brings together two complementary perspectives: a business view of the strategic relevance and emerging use cases for agentic AI, and a technology view of what it takes to design, integrate, govern, and scale these systems in practice. The result is a grounded view of how organisations can make agentic AI real – and move from pilots to robust, responsible production deployment. - No surprises on moving day: Governing data migration at scale
Moving house takes time, planning and careful decision-making, especially when you are upgrading to something smarter and can’t afford disruption.
Using the familiar analogy of a house move, Henry Newman-Burke explores the key factors and considerations involved in managing data migration successfully across large-scale public sector projects. From deciding what to pack, what to leave behind and how to label the boxes, to preparing the foundations for emerging technologies like AI in your new home, this session highlights how strong governance ensures your data is not just moved safely, but ready to power the next generation of digital services.
- AI for Cutting Red Tape: What It Can (and Can’t) Do in Rule Simplification
Overlaps, contradictions and inconsistencies in rules drive administrative burden and legal uncertainty. Based on a feasibility study commissioned by Germany’s Federal Ministry of Finance, this talk explores how AI can help identify rule-simplification opportunities—reliably and in an auditable way. It highlights the key prerequisites for trustworthy outputs: a quality-assured legal knowledge base, a multi-method AI approach, and expert validation, and clarifies where human judgement remains essential. - Strengthening Data maturity for AI acceleration at scale
The year 2026 marks the decisive shift from Generative AI experimentation to the rigorous, industrial scalability of Agentic AI. The primary bottleneck to value is no longer the algorithm, but a critical “maturity gap” in enterprise data: fragmented, siloed infrastructure is structurally unfit for autonomous agents, leading to industry predictions that 60% of AI projects will fail due to a lack of AI-ready data. This keynote presents a strategic framework for leaders to navigate this challenge. Drawing on the UK Government’s guidelines and global insights, we outline the Four Pillars of AI-Readiness—from Technical Optimisation to Legal Compliance—and the emergence of the Trust Stack (Governance, Observability, Human-in-the-Loop). DSIT champion the vision of data as Critical National Infrastructure (CNI). Leaders must transition from merely consuming data to becoming the architects of a secure, sovereign, and scalable data ecosystem. Learn the precise roadmap to accelerate AI adoption, transforming data from a dormant asset into the fuel for intelligent, autonomous enterprise transformation. - Safeguarding confidentiality and managing legal risks in public sector use of generative AI
This session will explore how public sector organisations can safely use generative AI tools while maintaining statutory confidentiality obligations, especially regarding intellectual property and sensitive government information. The talk will cover due diligence steps for selecting and implementing generative AI products, practical safeguards to prevent disclosure of secrets and examples of legal issues such as IP infringement, confidentiality breaches, and liability for incorrect outputs. The session will also address current government policy positions on AI use and provide guidance on navigating evolving requirements. - When AI gets it wrong: The Hidden Risk of Digital Overconfidence
This talk explores how AI hallucinates within technical and regulatory documents, why blind reliance creates systemic risk, and how a new “Digital Dunning-Kruger Effect” is emerging, where humans outsource competence to technology. The Future isn’t AI vs Humans. It’s AI with accountable humans.
More topics and speakers will be announced as the programme develops…
Agenda may be subject to change and will be updated regularly
Plenary & keynote speakers
Clive Kelman
Conference Chair
Former AI Principal Technologist, Cabinet Office and CEO of Advanced Analytics
Clive Kelman was the first Principal AI Technologist for Government, based at the Cabinet Office, and had been responsible for supporting and enabling AI adoption across Government Departments and the Public Sector.
Co-author of the UK Government’s AI and GenAI Frameworks and chaired the AI Industry Advisory Panel, collaborating with AWS, Google, Microsoft, Alan Turing Institute and the BSI to set approaches to delivering AI at scale.
Also, he has been the first Principal AI Technologist at OFGEM and with over two decades of experience in applied AI and data science, initially in clinical research and climate change. Clive has held key leadership roles, such as CEO of UProspr and Digital Programme Director at Jacobs. His experience also includes significant roles as Digital Officer and Chief Architect for major organizations like BT, the Houses of Parliament, ELEXON and global pharmaceutical companies. Adopting a collaborative leadership style and his commitment to fostering innovation.
Clive has helped start-up companies adopt deep learning effectively for medical imaging and clinical diagnosis as well as creating Gen AI tools for removing bias in the recruitment process.
Olurotimi Adeniji
Digital Programme Manager -AI, Automation, Brent Council
Olu is a governance‑first digital transformation leader with over two decades in local government. He combines deep sector insight and ecosystem-wide visibility to help public sector organisations deliver safe, scalable, value-driven automation and shift from doing more with less to doing more with precision through governance led transformation.
Jens Gemmel
Public Sector Reform & Innovation
From entrepreneur to e-government advisor and local government reform, Jens Gemmel von Döllinger brings his ideas and innovation to drive systemic change through innovative public service delivery models and the application of AI and data analytics.
Working in Public Service Reform for over two decades as a Systems Thinking Practitioner and author of two books, “Living Council: A Manifesto for Practice” and “The Anatomy of the Local State: Systems thinking for the AI-native, prevention-first council”, Jens has led on some of the most impactful public sector transformations in the UK and helped reshape the priorities of over a dozen local authorities, cities and their partners. Jens was Highly Commended for two IoD National Director of the Year Awards 2023, in the categories “Public & Third Sector” and for “Sustainability”, and awarded Finalist twice by the IoD in 2025, for “Innovation” and “Turnaround”, recognising his groundbreaking work on public sector reform and prevention-first models for local government.
Dr Shruti Kohli
Deputy Director Data Strategy, Innovations & AI, Department for Science, Innovation and Technology (DSIT)
Biog coming soon
Dr Nayyab Naqvi
Principal Technologist for AI in the Public Sector, Department for Science, Innovation and Technology (DSIT)
Biog coming soon
Declan Stock
Principal Technical AI Lead, Emerging Technologies Team, Ofgem
Declan is Principal Technical AI Lead at Ofgem, Britain’s energy regulator. He leads technical work on AI, quantum, and frontier digital technologies, enabling safe, secure, fair, and environmentally sustainable outcomes for energy consumers. He brings practitioner experience delivering complex data and AI solutions across energy, engineering, finance, and defence.
Session speakers
Richard Beet
Senior Director | Head of UK Public Sector | Insights & Data GBL, Capgemini
Richard Beet is a Senior Director at Capgemini where he operates as the Head of UK Public Sector for Insights & Data. In his role, Richard focuses on bringing data-powered innovation to UK Government and Defence through AI, data science, engineering, and content services.
With extensive experience across UK Defence and Intelligence, Richard oversees Capgemini’s data and intelligence programmes across the Ministry of Defence, including the Defence AI Centre, Defence Intelligence, Defensive Cyber Operations, NAD CDO, Defence Digital, the RAF, Royal Navy, Army, and DE&S.
Working at the intersection of strategic advisory and technical delivery, Richard helps organisations establish the trusted data foundations needed to scale AI and automation effectively. Drawing on experience across public sector, defence, nuclear, healthcare, financial services, energy, travel and transport, and logistics, he brings a broad perspective on how strategic data and AI can improve performance across complex organisations.
Ryan Dempsey
Chief Executive, TCW
Ryan Dempsey is the founder and CEO of TCW, a company dedicated to helping organisations gain clarity, accountability, and assurance over their risk profiles. With a background in electrical engineering and social housing, Ryan has seen first-hand the consequences of failed processes- an experience that inspired him to build TCW as a platform for meaningful change.
He leads with authenticity, combining innovation with integrity, and is a passionate advocate for responsible AI. Ryan’s ultimate goal is to inspire organisations to expect more, aim higher and create systems that protect people and deliver lasting impact.
Rokshana Fiaz OBE
Mayor, London Borough of Newham
Biog coming soon
Marc Girshgorn
Senior Manager, d-fine
Marc Girshgorn is a Senior Manager at d-fine with 10+ years of experience helping public-sector and financial-services organisations across Europe deliver digital transformation and adopt AI responsibly. He advises ministries, agencies and public bodies on building modern data foundations and governance to improve service delivery, enable evidence-based policymaking, and strengthen transparency and risk management. At Public Sector Data & AI Summit, Marc presents findings from a study on how AI can support administrative burden reduction—an initiative he co-led and which was commissioned by the German Federal Ministry of Finance. Marc holds a Master’s degree in Financial Mathematics from École Polytechnique.
Timea Ivacson
AI & Agentic AI Lead, Capgemini
Timea Ivacson is an AI & Agentic AI Lead at Capgemini, specialising in the design and delivery of advanced AI systems that move beyond experimentation into real-world deployment. With an academic background spanning economics, psychology and mathematical sciences, she brings a multidisciplinary perspective to building AI solutions that are technically robust, scalable, and grounded in real organisational needs.
Her experience spans public sector, financial services, water, biopharma, telecommunications, chemicals and energy, giving her a broad perspective on how AI can be applied in complex and regulated environments. Alongside designing, building and leading AI solutions, she also leads technical AI upskilling initiatives, helping organisations build confidence in adopting AI responsibly and effectively.
Paul Knight
Partner, Mills & Reeve
Paul is a partner at Mills & Reeve specialising in technology and commercial law. He advises organisations, including Government departments, executive agencies and non-departmental public bodies, on the application of existing laws to innovative technologies, such as Generative AI and the legal risks to manage.
Prof. Dr. Florian Möslein
Professor of German Civil Law, German and European Business Law, Philipps-University of Marburg
Florian Möslein has served as Professor of German Civil Law, German and European Business Law at Philipps-University Marburg since 2013, following positions at the University of Bremen and earlier roles at Humboldt-Universität zu Berlin and the University of Erlangen-Nürnberg. Since 2018/19 he has been Founding Director of both the Institute for the Law of Digitalisation (IRDi) at Marburg and the Hessian Centre Digital Responsibility (https://zevedi.de/en/). His research covers corporate and capital markets law, banking law, contract law, European law, legal theory, and comparative law; he co-edits the journals Recht Digital (RDi), Juristenzeitung (JZ) and Juristische Ausbildung (JURA). Notable visiting positions include UC Berkeley, Stanford, NYU, and the European University Institute.
Henry Newman-Burke
Principal Consultant, Butterfly Data
Henry Newman-Burke has over 30 years of IT experience, including six years at Butterfly Data, blending hands-on technical expertise with leadership in cloud architecture, platform modernisation and IT operations. A 13-year SAS practitioner, he designs secure, scalable solutions across Azure, AWS and SaaS platforms. Based in Yorkshire, he is also a church organist and passionate ornithologist.
event timetable
09:00 Registration & Networking breakfast – continental breakfast provided
10:00 Plenary session
11:15 Refreshments and networking
11:45 Sessions
12:45 Lunch and networking
13:45 Sessions
14:45 Refreshments and networking
15:10 Sessions
16:10 Chair’s closing remarks
16:20 Conference Close
Please note agenda will be updated regularly, speakers, subject matter and timings may be subject to change
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