Across the public sector, leaders are under pressure to modernise services, reduce costs, strengthen resilience and make better use of data and AI. But from the conversations I have with public sector leaders, the challenge is no longer proving that change is needed. It is proving that change is working in the places people, service users and frontline teams feel pressure most.
That proof has to be practical, not abstract: fewer delays, fewer repeated questions, more joined-up support, better first-time resolution and services that feel simpler for the people using them.
This matters because the impact of fragmented systems is not abstract. It shows up when a resident has to repeat the same information to multiple organisations. It shows up when someone managing a long-term condition has to navigate disconnected services instead of getting joined-up support. It shows up when stretched frontline teams are forced to work around outdated technology, manual processes and incomplete data, while demand continues to rise.
The UK has made real progress in digital government. There are services we should be proud of, from GOV.UK to the NHS App and the growing use of shared platforms that help teams deliver faster and more consistently. But public expectations have moved quickly too. People do not compare a council, department or public body only with other public bodies. They compare every interaction with the best digital experiences in their daily lives: simple, secure, personalised and designed around them.
The risk is that progress becomes measured by activity: programmes launched, platforms procured, pilots completed or strategies published. Those things matter, but they are not the same as proof. Proof is what changes for the person waiting for a decision, the caseworker trying to resolve a complex issue or the service team trying to anticipate demand before it becomes crisis.
For many organisations, the problem is no longer a lack of digital activity. It is that improvement has often happened in pockets. Individual services have improved, but the wider system still asks people, businesses and staff to bridge the gaps.
That creates friction at exactly the moments when people most need clarity and confidence. A parent applying for support. A patient chasing an update. A business owner trying to comply with changing requirements. A vulnerable person seeking help across health, housing and social care. When data is locked in silos and processes are designed around organisational boundaries rather than service needs, people experience delay, duplication and frustration.
For public sector leaders, this means the next phase is not simply about digitising more journeys. It is about aligning the foundations that determine whether services can adapt: data, integration, governance, operating models, supplier arrangements and frontline insight. The goal is not simply to make services digital. It is to make them work better as part of a whole system and to show, clearly, where that is reducing friction for people and staff.
In that environment, the most useful conversations are not about broad transformation. They are about the specific pressure a team is trying to relieve, the risk that needs reducing and the evidence required to make the next decision with confidence.
Artificial intelligence is rightly high on the agenda for DigiGov attendees and public sector leaders. Used well, it can help teams identify patterns, speed up decision-making, improve case handling and create more proactive services. But AI will increase the demand for proof, not reduce it. Leaders will need to show not just that AI works, but that it works safely, fairly and measurably in real service conditions.
The opportunity is significant, but the test is practical: can AI help frontline and operational teams deliver better outcomes safely, fairly and transparently? Can it reduce administrative burden rather than add complexity? Can it help leaders understand need earlier, design better interventions and free up capacity for human judgement where it matters most? Most importantly, can leaders evidence those benefits in a way that stands up to scrutiny and builds trust with staff, service users, ministers, boards and partners?
That is why responsible adoption must go hand in hand with strong digital foundations. Leaders need to invest in data quality, cyber resilience, cloud and integration, but also in skills, culture, governance and change. The organisations that make the biggest gains will be those that move from isolated pilots to governed, measurable adoption, treating AI as part of service redesign rather than as a separate innovation project.
This is also why AI readiness cannot be separated from legacy, data and service readiness. Without trusted data, clear governance, resilient platforms and well-understood service journeys, AI risks becoming another layer of complexity rather than a practical route to better outcomes.
The harder question is rarely whether the technology is available; it is whether the organisation is ready to use it proportionately, explainably and with clear routes to value.
Most public sector organisations are not starting from a blank page. They are working with legacy systems that hold critical services together, complex supplier landscapes, live policy demands and limited capacity for large-scale disruption. The pressure to modernise is real, but so is the risk of trying to do everything at once.
Recent GDS guidance rightly reframes legacy technology as a question of risk rather than age. That is an important shift. The systems most in need of attention are not always simply the oldest; they are the ones that constrain service resilience, data use, security, adaptability or the ability to respond to changing public needs and policy requirements.
In practice, that risk often includes security debt as well as technical debt: systems that are difficult to patch, hard to support, poorly understood or dependent on fragile integrations.
In my experience, the most successful leaders take a pragmatic approach. They protect what is working, stabilise what is fragile and prioritise the changes that unlock the greatest value for service users and staff. Sometimes that means replacing a system. More often, it means understanding where legacy risk sits, improving integration, simplifying manual processes, redesigning services around real operational needs or creating a clearer path from fragile technology to more adaptable platforms.
The point is to make modernisation deliverable and demonstrable. Public sector change cannot depend on heroic effort from already stretched teams. It needs clear priorities, incremental delivery, evidence of value and the confidence to adapt as needs change. In other words, leaders need to design proof into delivery from the start, rather than trying to evidence impact at the end.
There is no single roadmap that will fit every organisation, but there are practical steps leaders can take to build momentum.
For me, that means asking sharper questions earlier: what will people notice is different, what will frontline teams no longer have to work around, and what evidence will give leaders the confidence to keep investing?
Start with lived experience. Use frontline insight, service data and user research to understand where people and staff feel the greatest friction.
Design across organisational boundaries. Many service journeys cut across departments, agencies, councils, health bodies and suppliers. Change needs governance that reflects that reality.
Modernise incrementally. Break large ambitions into deliverable steps that reduce risk, prove value and build confidence with staff, service users and stakeholders.
Prove progress early and often. Define what better looks like for people, staff and services, then use evidence such as reduced waiting times, fewer avoidable contacts, higher completion rates, improved first-time resolution and lower administrative burden to show what is changing and what should happen next.
DigiGov brings together the people shaping the next phase of public sector technology: digital, data, service improvement, cyber, commercial and operational leaders from across government and the wider public sector. That makes it an important forum for moving beyond broad ambition and into practical conversation about what needs to change, what is already working and where collaboration can accelerate progress.
At TXP, we see the same pattern across many public sector organisations: ambition is not the issue. Leaders know where they want to get to, but they need to navigate complexity, reduce risk and prove progress while live services continue to run. That means combining digital expertise with a deep understanding of public services, legacy risk, procurement constraints, operational resilience and the lived experience of service users and frontline teams.
The organisations that make the most progress will be those that can move from ambition to evidence: identifying the risks that matter most, testing practical interventions quickly and proving which changes improve resilience, reduce friction and create measurable public value.
The challenge ahead is not simply to build more digital services. It is to build public services that recognise people’s needs, reduce avoidable effort and respect their time. If we keep that as the measure of success, public sector change becomes more than a technology agenda. It becomes a way to move from pressure to proof: showing, in practical and measurable ways, that services are becoming easier to access, more sustainable to run and more trusted by the people who depend on them.
If you are attending DigiGov, come and speak to us at the TXP stand G40. Bring one live operational, service, data or technology challenge or share your “pressure to proof” challenge with me ahead of the event, and we can explore how to reduce risk, strengthen resilience and identify what useful proof could look like. You can reach me before or after the event at mat.graves@txp.co.uk.