From Software Development to AI-Native Engineering: The Impressit Story

What does it take for a software company to genuinely transform itself for the age of AI?

In this episode of Futurise, I’m joined by Roman Zomko, CEO of Impressit, a software engineering company and accredited Anthropic partner. Roman and I first spoke around a year ago, so this is a fascinating opportunity to revisit the journey and see what has changed.

We explore why Impressit chose to partner with Anthropic, what it took to build and accredit capability around Claude, and how tools such as Claude Code are changing the way software is designed, developed and delivered.

We also look at what enterprise customers are actually asking for, whether adoption is different across the US, UK and Europe, and what this means for software companies themselves as AI moves from experimentation into everyday engineering.

A conversation about Claude, enterprise adoption and, ultimately, what a software engineering company needs to become to stay relevant in an AI-native world.

From IT to OT: How Agentic AI turns industrial data into action

What happens when Agentic AI moves beyond the enterprise and onto the factory floor?

In this episode of Futurise, I’m joined by Elan Greenberg, CEO of Augury, to explore the convergence of IT, OT and Agentic AI — and what it means for the future of manufacturing.

We talk about the enormous amount of data already being generated by machines and industrial systems, why so much of that data remains underused, and how Agentic AI could turn it into real-time insight and action.

We also explore what happens when AI agents can understand both the operational environment and the business context — moving from simply analysing data to helping people make better decisions and act on them.

A conversation about the shift from data to intelligence, and intelligence to action — and why the factory could become one of the most important proving grounds for Agentic AI.

At a London panel I moderated with Simplito’s Kasia and Mirek, we explored the growing challenge of building AI that is sovereign, private and properly controlled.

For this episode of Futurise, I continued that conversation with Błażej, CTO of Simplito, going deeper into one of the biggest questions facing enterprise AI:

How much autonomy should we actually give an AI agent?

As agents gain access to enterprise data, systems and processes, privacy and security become fundamentally different problems. It is no longer enough to control the model or protect the data — organisations need to control what the agent can access, what it can do and what happens when it acts.

Błażej takes a deliberately challenging position: he doesn't believe fully autonomous agents have a place inside highly secure enterprise environments.

That opens up a fascinating discussion about the AI harness, privacy-by-design, sovereign infrastructure, permissions, governance and risk management — and whether the future of enterprise agentic AI is actually about controlled agency rather than autonomy.

For European organisations, the EU AI Act adds another layer of complexity, requiring careful consideration of risk, human oversight, monitoring and accountability for relevant high-risk systems.

But there is an interesting twist: the very controls that can make European AI adoption more considered are attracting interest from US organisations too. Rather than seeing European privacy and governance requirements simply as constraints, some US organisations are looking to the European approach as a way of building AI that is safer, more controlled and more trustworthy.

A conversation about privacy, sovereignty and where we draw the line between AI that can assist, AI that can act, and AI that should never be allowed to act alone.