79% are exploring or using AI: why the public sector opportunity is now
Public sector organizations have always been asked to do more with less. Today, that challenge feels sharper than ever. Rising demand, constrained budgets, workforce pressures, structural reform, and higher expectations around transparency are all converging at the same time. For those of us who have worked in and around public services, this is not an abstract challenge. It is the everyday reality of organizations trying to protect public money, support communities, and make timely, accountable decisions with finite resources.
That is why the conversation about artificial intelligence in the public sector needs to be different from the conversation happening in many commercial organizations. For public service teams, AI is not simply about producing content faster or adding another digital assistant. It is about creating capacity where it matters most: giving skilled people more time to focus on citizens, communities, financial stewardship, and service outcomes.
The real prize is more public service capacity
During our recent webinar on AI for the public sector, I reflected on a simple point: less administration is not the final outcome. The real objective is better public services. When routine work consumes too much scarce capacity, public servants have less time for the work they came into the sector to do. Too much time is still spent finding information, re-keying and reconciling data, chasing approvals, responding to routine inquiries, and producing reports that explain what has already happened.
AI can help shift that balance. Used well, it can move routine activity into the system, bring trusted insight directly to the people who need it, surface risks earlier, and support better governance. That does not mean removing human judgment. In the public sector, human oversight, transparency, and accountability must remain firmly in control. The question is not whether AI can complete more tasks. The question is whether it understands the context, controls, and accountability of public service well enough to be trusted.
Audience feedback reflected a sector still exploring AI
The poll results from the webinar reinforced what we are seeing across the market. When we asked participants where they were in their AI journey, 42% said they use AI occasionally, 37% said they are exploring AI, 15% said they use AI regularly, and 6% said they are not using AI at all. In other words, most organizations are not starting from a blank page, but many are still working through where AI can be applied safely, practically, and with measurable value.
That experimentation phase is important. Public sector organizations need the space to test, learn, and understand where AI can help without compromising trust. They also need solutions that are grounded in the realities of their work, not generic tools that sound impressive in a demo but lack the context needed for finance, HR, procurement, service delivery, and public accountability.
Where AI can make the biggest difference
The strongest response was reducing administrative workload, selected by 43% of participants, followed by enhancing data-driven decision-making at 32% and increasing workforce productivity at 18%. At first glance, that might appear to be an efficiency story. In reality, it reflects a deeper challenge facing public services. Every hour spent on manual administration, data reconciliation, reporting, or approval chasing is capacity that cannot be invested in strategic planning, citizen engagement, service improvement, or financial stewardship.
Against a backdrop of workforce shortages, rising demand and ongoing public sector reform, administrative efficiency is not simply about cost reduction. It is about protecting scarce expertise and enabling public servants to focus on higher-value activities where judgment, empathy, and accountability matter most.
Trust, context, and control are non-negotiable
In public service, 85% accuracy may be acceptable for some low-risk use cases, but it is not acceptable for approving payroll, allocating grants, coding invoices, managing public funds, or reporting statutory accounts.
Public bodies operate within frameworks of democratic accountability, audit scrutiny, regulatory compliance, and freedom of information requirements. Any AI-enabled recommendation must be traceable, explainable, and capable of challenge by those responsible for the final decision.
"The AI did it" is not an acceptable answer when decisions need to withstand scrutiny from auditors, elected members, governing bodies, regulators, committees, or citizens.
Public bodies operate within frameworks of democratic accountability, audit scrutiny, regulatory compliance, and freedom of information requirements. Any AI-enabled recommendation must be traceable, explainable, and capable of being challenged by those responsible for the final decision.
That is why AI for the public sector must be built on trust, context, and control. It needs to understand the organization’s data, policies, workflows, approvals, and operating environment. It must support people in making better decisions, not replace their accountability. And it needs to get smarter over time by learning from how teams review, correct, and apply its recommendations within their own environment.
From automation to ambient ERP
Today, AI can already support practical use cases such as expense receipt recognition, supplier invoice coding, approvals, real-time help, performance review summaries, and objective generation. These are valuable because they remove friction from everyday work and help teams spend less time navigating systems and more time applying judgment.
But the bigger opportunity is the move from reactive systems to proactive, ambient ERP, systems that are available in the flow of work, surface what needs attention, and help leaders reason across finance, workforce, projects, service demand, and risk. Imagine asking for the latest budget position ahead of a board meeting, then drilling into the drivers of overspend, identifying whether an issue is financial or data-related, and receiving recommended next steps in plain language. The relatively low score for citizen service delivery does not mean AI lacks relevance to front-line outcomes. The impact is often indirect, but no less significant. When organizations reduce administrative burdens, improve access to trusted information, and enable better decision-making earlier, the benefits ultimately flow through to citizens, students, service users, and communities. Better back-office capability can create better front-line outcomes. That is where AI begins to move beyond process efficiency and towards better-informed public sector leadership, stronger stewardship of public resources, and earlier intervention when challenges emerge.
A practical opportunity to start learning now
The public sector has never lacked data, expertise or commitment. What it often lacks is capacity.
At Unit4, we believe AI should be grounded in the principles of good public administration: accountability, transparency, stewardship and service outcomes. AI should amplify human expertise, not replace it, helping skilled professionals spend less time navigating systems and more time applying their judgement where it matters most. Success should be measured not by the number of tasks automated, but by whether organizations can respond faster, make better-informed decisions, strengthen resilience and deliver better outcomes for citizens and communities.
For organizations still exploring AI, the key is to start with practical, well-governed use cases that reduce administrative burden, improve access to trusted insight and help people make better decisions, faster. Ultimately, that is not a technology outcome. It is a public service outcome.
Watch the webinar and sign up for the AI for Your World campaign
To explore these ideas in more detail and hear the full discussion, watch the on-demand webinar recording. You’ll get practical examples, product insights, and guidance to help your organization take the next step with AI in a trusted, mission-focused way. Existing Unit4 ERP customers can also sign up for our AI for Your World campaign to explore selected AI capabilities commitment-free until Aug. 31, 2027, when signing up before Dec. 31, 2026.