Read the latest blogs, news and views from Infomentum.

This year’s HMICFRS State of Policing Report, published in September, raises several important issues that caught my attention. For those who haven't caught up yet, the report highlights the significant pressure forces continue to operate under, with growing demand and legacy systems limiting their ability to respond effectively.

As a project manager, I’ve had the privilege of guiding all sorts of teams and initiatives, from complex digital transformations to small but mighty upgrades that make a real difference. But few things have brought me as much career satisfaction as working on IT projects that support the police here in the United Kingdom.

These projects stand out because they’re about more than just delivery timelines, sprint goals, or stakeholder reports. They’re about contributing to something bigger - supporting the people who keep our communities safe, and helping them do their jobs more effectively through better technology.

When people talk about artificial intelligence (AI) today, the conversation often drifts into mystique. We hear phrases like 'thinking machines' or 'AI replacing humans,' as if a spark of magic has suddenly entered our world. But history shows a different story: every wave of automation, whether industrial, digital, or now intelligent, has been shaped not by magic, but by clear thinking, human analysis and precise understanding of what needed to be achieved.

To see this, it helps to trace automation through three phases: achieve what I achieve, do what I do, and think what I think.

The past few weeks at Infomentum HQ have been nothing short of amazing. New projects launched, fresh qualifications earned (more to come on this!), and to top it all off - we’ve been named the winner of a 2025 Salesforce Partner Innovation Award in the Public Sector and Government category. This award celebrates our work with UK police forces to transform victim support through smarter, more connected technology. It’s safe to say the team couldn’t be prouder!

Technology modernisation has become a constant drumbeat across the public sector - and for good reason. The opportunities offered by modern, integrated systems are clear: better data access, streamlined processes, and more responsive public services.

I’m sure we are all aware that AI is advancing at an unprecedented rate. With every breakthrough comes both a new set of opportunities and a group of risks. While the potential of AI is huge, the reality is clear: without security and compliance at its core, innovation can quickly turn into exposure.

A recent discovery of a vulnerability in Salesforce's Agentforce is a timely reminder that even the most established platforms aren't invincible. And whilst Salesforce quickly resolved the issue, it raises important questions about how we manage AI responsibly, protect sensitive data, and keep trust at the heart of every solution.

Newton said that for every action, there is an equal and opposite reaction, and whilst the rise of hybrid working has undoubtedly had a positive impact on mental health (hello increased work-life balance, more autonomy and decreased commute-related stress and cost!) the pendulum swings both ways. Hybrid workers are equally challenged by isolation, silos and blurred boundaries.

Now that summer is coming to an end here in the UK, it’s time to look back at some more exciting features introduced by MuleSoft over the last few months. So in saying that, welcome to the 9th blog in the series on Anypoint Code Builder!

In my most recent article about embracing disruptor technology, I touched on how trust is central to policing, and equally essential to every technology partnership that supports it. The same principle applies here. Without trust, even the most ambitious transformation efforts are unlikely to succeed.

After three decades in policing, including 15 years in senior leadership, I’ve seen first-hand the impact that legacy technology has on frontline delivery. It’s not just about systems that feel outdated or unintuitive. It’s about the deep-rooted inefficiencies and limitations that hold back people who are doing critical public service work.