This post is part of our Delivering Public Safety Outcomes at Pace series.
Discovery and Alpha have always existed for a reason. They give multidisciplinary teams the space to understand users, test assumptions, explore technical options and build enough confidence to decide what comes next. Good agile delivery has never been about moving quickly for the sake of it. It’s about reducing uncertainty before committing significant time and investment.
What agentic AI is beginning to change is not the purpose of those phases, but the pace at which parts of them can happen.
At Made Tech, we’re seeing opportunities to compress Discovery and Alpha from the 12 to 20 weeks many organisations have become accustomed to, towards eight to 12 weeks. That isn’t because teams are skipping research or cutting corners. It’s because AI can help complete some of the most time-consuming activities much more efficiently, allowing teams to move more quickly from gathering information to testing ideas.
That’s an important distinction because it challenges one of the biggest misconceptions surrounding AI.
Much of the conversation focuses on automation or replacing people. Our experience has been different. The greatest value comes from removing the waiting. Activities such as synthesising research, analysing technical options, generating documentation and producing early prototypes can now happen far more quickly, giving teams more time to engage users, challenge assumptions and iterate solutions.
In other words, AI isn’t replacing agile delivery. It’s compressing it.
Faster delivery doesn’t mean less discovery
There’s a temptation to assume that if Discovery and Alpha become shorter, teams must be doing less work. In reality, the opposite should be true.
The activities that matter most in Discovery have never been writing documents or creating slide decks. They are understanding users, testing assumptions and building confidence that a team is solving the right problem before moving into delivery. Agentic AI can help remove much of the administrative effort that surrounds those activities, allowing teams to spend more time where human insight adds the greatest value.
Rather than investing weeks pulling information together, delivery teams can move more quickly into conversations with users, explore a wider range of technical options and iterate solutions sooner. Shorter delivery phases should create more opportunities for learning, not fewer.
That’s why I see AI as an evolution of agile rather than a replacement for it. The principles remain exactly the same. We are simply reducing the time between learning, deciding and delivering.
The bottleneck is no longer the technology
As delivery accelerates, another challenge begins to emerge.
For many organisations, the limiting factor won’t be whether AI is capable of producing better outputs more quickly. It will be whether leadership, governance and decision-making can keep pace.
If a delivery team can reach an evidence-based recommendation in half the time, but approvals, funding decisions or governance reviews still follow the same timetable, the overall pace of delivery changes very little. The bottleneck simply moves elsewhere.
Leading public sector organisations are beginning to recognise that adopting agentic AI isn’t just about introducing new technology. It also requires organisations to rethink how decisions are made, how multidisciplinary teams are empowered and how governance supports rapid learning rather than becoming another queue in the process.
That’s a much bigger organisational challenge than selecting the right AI tool.
Human judgement becomes even more valuable
The more capable AI becomes, the more valuable human judgement becomes alongside it.
Agentic AI can analyse research, compare options and generate documentation at remarkable speed. What it cannot do is understand organisational context, balance competing priorities or build trust with users and stakeholders. Those remain fundamentally human responsibilities.
The same applies to service design. AI can help teams reach better-informed starting points, but it cannot replace the conversations that uncover unmet needs, challenge assumptions or explain why a service works the way it does.
Our experience modernising legacy systems has reinforced that lesson. Technology rarely tells the whole story. Every organisation develops workarounds, informal processes and operational knowledge that sit outside the system itself. AI can help explain the code, but it still takes people to understand how services actually operate.
That’s why experienced multidisciplinary teams remain at the centre of successful digital delivery. AI makes those teams more effective. It doesn’t make them less necessary.
A different way of thinking about delivery
The organisations that benefit most from agentic AI are unlikely to be those that simply deploy new tools and expect delivery to accelerate automatically.
The real opportunity lies in changing how teams work. If research can be synthesised in hours rather than days, if prototypes can be generated in a single sprint and if technical options can be explored far more quickly, organisations also need to become better at making decisions, testing ideas and acting on evidence.
For smaller, agile delivery partners like Made Tech, that shift plays to our strengths. We’ve always believed that better public services come from empowered multidisciplinary teams, rapid feedback and continuous learning. Agentic AI doesn’t replace those principles. It reinforces them by removing much of the friction that has traditionally slowed delivery down.
The organisations that will benefit most won’t necessarily be those with access to the newest AI tools. They’ll be the ones prepared to evolve their culture, governance and ways of working alongside the technology. That’s how faster delivery becomes better delivery, and how agentic AI becomes more than just another productivity tool. It’s an opportunity to rethink how digital services are designed, delivered and continuously improved. That’s at the heart of what Made Tech is all about.
Learn more about our public safety and defence expertise and how Made Tech can help your organisation.
About the Author
James West
Industry Director for National Security & Public Safety
James is a driven delivery executive with a proven record in DDaT transformation across the public sector. He excels in stakeholder relationships, driving change, and enhancing productivity. As a techUK Justice and Emergency Service Management Committee member and AI group chair, he leads large teams to success. James holds a Master's from Warwick Business School.
