Q&A: Godel Technologies, AI and Software Development Awards finalist

'A lot of organisations are starting to discover that adopting AI in isolation doesn't automatically unlock the productivity gains or revenue growth they were promised'

The AI and Software Development Awards showcase outstanding achievements and solutions in the fields of AI and software development from organisations, personalities and teams.

This year's winners will be announced at a live awards ceremony on Thursday, 14th May in London.

Godel Technologies is a finalist in two categories: Data Scientist of the Year and Best Use of AI and Machine Learning in Development.

We caught up with Joe Wolski, Chief Technology Officer, Godel Technologies, to learn more about the company's work this year, which propelled it to the finals of the AI and Software Development Awards.

Joe Wolski has over a decade of senior leadership experience across Technical Director, CTO and Chief Strategy Officer roles in some of Europe's most demanding technology environments.

At Godel, Joe leads AI strategy with a straightforward belief: most organisations are asking the wrong questions about AI, and the ones moving fastest are those who've stopped debating the technology and started rethinking how they work. His focus is on helping clients build real AI capability into their products and engineering processes not bolting it on as an afterthought.

He writes and speaks regularly on AI strategy, delivery transformation and the uncomfortable questions most organisations are still avoiding.

What would winning this award mean to you/your company/your team?

It would be a real testament to the team's hard work, but more than that, it would be recognition that what Godel is doing in AI is genuinely pioneering. We've been heads down delivering outcomes that others are still theorising about.

How has your industry changed over the past year, and what changes do you think it still needs to make?

The past year has seen a fundamental shift from scepticism to acceptance. AI is real, it's here, and the market knows it. Buying criteria has changed dramatically, and expectations of what partners can deliver have accelerated at a pace we've rarely seen in this industry.

But here's where it gets interesting. A lot of organisations are starting to discover that adopting AI in isolation doesn't automatically unlock the productivity gains or revenue growth they were promised. The early adopters have figured this out and are already pivoting toward true AI-native transformation. The wider market though? It's still catching up with what that actually means in practice.

The hard truth is that this isn't just a technology change, it's a much bigger transformation than most organisations initially anticipated. Bolting AI onto existing ways of working won't cut it. The industry still needs to reckon with that.

What do you see as the main opportunities for your industry in the coming year? How do you plan to capitalise on them?

As organisations move beyond experimentation and commit to genuine AI-native transformation, they're going to need partners who can operate across the entire technology estate, not just drop in a tool and walk away. End-to-end delivery, across software, data and AI agents, with real accountability for outcomes.

Godel is built for exactly this moment. Twenty years of delivery credibility, combined with our AI-native engineering model, means we're not scrambling to retrofit our offer, we're already there.

What are the key demands you have seen from your customers (either internal or external) in the last 12 months?

Two things, and they're connected. The first is speed, the pressure to deliver faster has intensified significantly. Customers aren't willing to wait twelve months for a roadmap item anymore. They want outcomes, and they want them now.

The second is product intelligence. We're seeing a real acceleration in customers wanting to embed AI features and capability directly into their products, not as a future consideration, but as a current competitive necessity. They're watching their markets move and they can't afford to be the product that hasn't caught up.

What ties these together is that both demands are fundamentally about outcomes over process. Which is exactly the conversation Godel has been having with the market for some time now.

Which new technology trend are you placing your bets on?

Knowledge graphs. As AI agents become more embedded in enterprise environments, the critical challenge isn't the agent itself, it's context. How do you give an agent a reliable, structured understanding of a business, its relationships, its rules, its data? That's where knowledge graphs come in.

We see this as foundational infrastructure for the next generation of enterprise AI. Agents operating without that corporate context are essentially working blind. With it, they become genuinely powerful. That's the bet I'm making and I think it's going to prove out faster than most people expect.

The AI and Software Development Awards will take place on 14th May in London. Click here to view the shortlist and here to book your table.