Tech | Read the latest blogs, news and views from Infomentum.

Salesforce events always bring a unique buzz. Whether it’s Dreamforce, World Tour or a specialist showcase, there’s an energy in the room that reminds you how fast the ecosystem moves and how much innovation is happening behind the scenes.

The Agentforce World Tour 2025 at ExCeL London carried that same momentum. Crowds, conversations and excitement aside, the real draw was seeing just how quickly Agentforce is evolving and what that means for both technical and business teams alike.

As a developer, I went in hoping for real implementation stories, deeper technical insight and the latest updates on Agentforce Vibes. The day delivered on all of that. I left with useful takeaways, fresh ideas to test and a stronger sense of where enterprise AI is heading next. To help set the scene and share what the day revealed, I've put together some key moments that stood out.

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.

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.

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.

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!

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.

It’s been a while since my last write up on MuleSoft Anypoint Code Builder. While several new features have been introduced this year, I want to focus on MuleSoft’s artificial intelligence (AI) integrations. Let’s be honest, AI has been a hot topic for a while and isn’t going away anytime soon. So in this blog, I’ll guide you through using the Agentforce Generative Flow feature in Anypoint Code Builder and also share some practical tips along the way to help you get the most out of it.

Have you checked out Anypoint Code Builder lately? There has been another major release since my last blog, but don't worry, I’m here to guide you through the recent changes.

AWS Service Roles allow services to securely interact with other AWS services on your behalf by assuming roles with the necessary permissions. This simplifies access management and reduces the need to handle long-term credentials.

CloudHub 2.0 works on top of an AWS EKS service, so we can leverage AWS Service Roles to connect our APIs with many other AWS services used by our integrations, such as SQS, S3, DynamoDB, Secret Manager, etc.

In this article, we will see how it works and how to implement it.