The Future of Citizen Experience: Scaling Agentic AI for Citizen Services
Improvements in customer experience (CX) resulting from AI adoption in the private sector are now well established. Research from the Institute of Customer Service shows that UK consumer satisfaction is continuing its upward trend, correlating with increased use of AI across CX.
Intelligent automation in CX is not new, but generative AI has accelerated its evolution significantly over the past two years. Now, the next phase of digital transformation is taking shape through agentic AI: systems capable of reasoning, planning, and acting with increasing autonomy towards defined objectives.
For UK public sector organisations, the opportunity is significant. Agentic AI has the potential to transform citizen-centred services across local government, healthcare, housing, and beyond. However, scaling deployment responsibly requires organisations to overcome technical, organisational, and policy barriers, and to do so without sacrificing the human oversight that public trust demands.
To realise the benefits of agentic AI in voice and digital interactions, organisations must consider how it can support every stage of citizen interaction.
Improving Citizen Interactions
Agentic AI is most powerful when deployed at the very start of a citizen interaction. AI agents can gather contextual information, understand intent, assess urgency, and determine complexity before a human adviser becomes involved, reducing friction for citizens and allowing advisers to focus their time where it matters most.
For low-complexity enquiries, such as reporting a change of address or requesting an update on a previous interaction, AI agents can often resolve the issue independently within predefined guardrails. More sensitive or complex cases can then be routed intelligently to the most appropriate adviser, with all contextual information transferred automatically, reducing handover times and citizen frustration.
During live interactions, agentic AI can operate as a real-time assistant for human agents. By analysing live transcripts and customer sentiment (where geographically authorised), as well as data from previous interaction history, agentic AI can recommend next-best actions and automate administrative tasks mid-conversation. Unlike standard generative AI assistants, agentic systems reason more deeply over the data they consume before acting, which is an important distinction when the stakes involve an urgent housing application or complex healthcare referral.
Agentic AI can also dramatically reduce the post-contact burden. Real-time transcripts generated during an interaction can automatically populate forms, produce accurate summaries, and trigger follow-up tasks such as raising a support ticket, sending the citizen a status update, or scheduling a human follow-up. For organisations managing millions of interactions annually, these efficiency gains represent a meaningful shift in operational capacity.
Language Translation at Scale
Agentic AI implemented during citizen interactions is especially valuable for local authorities serving multinational audiences. AI agents can automatically detect a citizen's preferred language, translate their input, and respond accordingly, reducing reliance on translation services and ensuring that non-native English speakers receive a high-quality, consistent customer experience.
Some local councils currently spend tens of thousands of pounds a year on translation services for non-English-speaking residents. Agentic AI does not completely eliminate the need for specialist human support in complex cases, but it can substantially reduce dependency on translation services for routine interactions, improving both cost-efficiency and the consistency of service experienced by non-native English speakers.
End-to-End Self-Service and Proactive Outreach
Beyond live agent interactions, agentic AI also enables far more sophisticated self-service capabilities than were previously possible. Citizens can update personal details and schedule appointments across both digital and voice channels without human intervention.
In addition, agentic AI can also monitor journey signals, such as repeat contacts, unresolved queries, or channel-hopping, and proactively trigger outreach before dissatisfaction escalates. Such autonomous decision-making is what differentiates agentic AI from previous generations of intelligent automation.
The Technical, Organisational, and Policy Barriers
Despite the opportunity that agentic AI presents, many public sector organisations face significant internal and external barriers to effective deployment. Fragmented on-premises legacy infrastructure, outdated policy, and inconsistent or siloed data limit what AI can realistically achieve without considerable investment.
Underpinning agentic AI's capability to reason is access to rich, reliable data. A Customer Data Platform (CDP) is a central data layer that sits across an organisation's multiple systems of record and provides a unified, accurate picture of each citizen. Organisations that have not yet invested in this foundation will find that agentic AI quickly exposes the gaps.
Government policy has not yet caught up with the pace of agentic AI development, and this gap creates genuine uncertainty for public sector organisations trying to deploy responsibly. Citizen data is sensitive, often spanning health, financial, and social care records. Current regulation does provide a baseline for AI use, but agentic AI, which might act on data from multiple sources, raises new questions.
Data and technology sovereignty are equally important. Organisations must be able to demonstrate that citizen data is processed and stored within defined geographic and jurisdictional boundaries. As cloud-based AI processing becomes the norm for citizen communications, public sector organisations need to be able to state where their data resides.
Success also depends on measured deployment. More than 40% of agentic AI projects are predicted to be cancelled before the end of next year, largely due to poorly defined success criteria. Leaders should prioritise use cases where baseline performance metrics are already established, so that the resultant performance delta can ensure a clearer assessment of return on investment (ROI) required for a broader rollout.
Responsible Deployment as Competitive Advantage
Agentic AI represents one of the most significant operational opportunities available to organisations under pressure to do more with less. Implemented well, agentic AI does not replace the human heart of public services, but will instead free human agents from their administrative burden so they can focus on urgent, complex, and emotional interactions.
The organisations that will benefit most are not those that move the fastest, but those that invest in data foundations, establish clear data governance, and maintain oversight at every stage.
Martin Taylor
Co-Founder and Deputy CEO, Content Guru
Martin Taylor
Co-Founder and Deputy CEO, Content Guru
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Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi is the Head of AI and Data at techUK.
She holds over seven years of Government Affairs and Tech Policy experience in the US and UK. Kir previously headed up the regulatory portfolio at a UK advocacy group for tech startups and held various public affairs in US tech policy. All involved policy research and campaigns on competition, artificial intelligence, access to data, and pro-innovation regulation.
Kir has an MSc in International Public Policy from University College London and a BA in both Political Science (International Relations) and Economics from the University of California San Diego.
Outside of techUK, you are likely to find her attempting studies at art galleries, attempting an elusive headstand at yoga, mending and binding books, or chasing her dog Maya around South London's many parks.
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
He leads techUK’s AI Adoption programme, supporting members of all sizes and sectors in adopting AI at scale. His work involves identifying barriers to adoption, exploring solutions, and helping to unlock AI’s transformative potential, particularly its benefits for people, the economy, society, and the planet. He is also committed to advancing the UK’s AI sector and ensuring the UK remains a global leader in AI by working closely with techUK members, the UK Government, regulators, and devolved and local authorities.
Since joining techUK, Usman has delivered a regular drumbeat of activity to engage members and advance techUK's AI programme. This has included two campaign weeks, the creation of the AI Adoption Hub (now the AI Hub), the AI Leader's Event Series, the Putting AI into Action webinar series and the Industrial AI sprint campaign.
Before joining techUK, Usman worked as a policy, regulatory and government/public affairs professional in the advertising sector. He has also worked in sales, marketing, and FinTech.
Usman holds an MSc from the London School of Economics and Political Science (LSE), a GDL and LLB from BPP Law School, and a BA from Queen Mary University of London.
When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.
Sue leads techUK's Technology and Innovation work. This includes work programmes on AI, Cloud, Data, Quantum, Semiconductors, Digital ID and Digital ethics as well as emerging and transformative technologies and innovation policy. In 2025, Sue was honoured with an Order of the British Empire (OBE) for services to the Technology Industry in the New Year Honours List. She has also been recognised as one of the most influential people in UK tech by Computer Weekly's UKtech50 Longlist and was inducted into the Computer Weekly Most Influential Women in UK Tech Hall of Fame.
A key influencer in driving forward the tech agenda in the UK, in December 2025 Sue was appointed to the UK Government’s Women in Tech Taskforce by the Technology Secretary of State. She also sits on the UK Government’s Smart Data Council, Satellite Applications Catapult Advisory Group, Bank of England’s AI Consortium and BSI’s Digital Strategic Advisory Group. Previously, Sue was a member of the Independent Future of Compute Review and co-chaired the National Data Strategy Forum. As well as being recognised in the UK's Big Data 100 and the Global Top 100 Data Visionaries in 2020, Sue has been shortlisted for the Milton Keynes Women Leaders Awards and has been a judge for the Loebner Prize in AI, the UK Tech 50 and annual UK Cloud Awards. She is a regular industry speaker on issues including AI ethics, data protection and cyber security.
Prior to joining techUK in January 2015, Sue was responsible for Symantec's Government Relations in the UK and Ireland. Before that, Sue was senior policy advisor at the Confederation of British Industry (CBI). Sue has an BA degree on History and American Studies from Leeds University and a Master’s Degree in International Relations and Diplomacy from the University of Birmingham. Sue is a keen sportswoman and in 2016 achieved a lifelong ambition to swim the English Channel.
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