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UnlikelyAI bolsters leadership team. London-based artificial intelligence company UnlikelyAI has appointed Rakesh Harji as chief operating officer and Graham French as chief technology officer as it prepares to scale its enterprise AI platform. The dual appointments come as demand grows for explainable and auditable AI systems that can be deployed across regulated industries. Rakesh joins from AI legal platform Lawhive and previously spent almost seven years as chief operating officer at fintech unicorn Zilch, where he helped grow the business from its first employee to a company valued at $2.2 billion. At UnlikelyAI, he will focus on building the operational and commercial foundations needed to scale the business. Rakesh added: "The conversation for enterprises has fundamentally changed, and it's no longer about whether AI is capable, but whether it can be trusted, explained and held to account. This is a problem that goes well beyond any one sector. UnlikelyAI has a technically distinct answer to this problem, and regulated industries, where the stakes around trust and explainability are highest, are a natural place to initially demonstrate that. I know how rare it is to find a company with both the technical foundations and the commercial momentum to make that real." Graham joins after serving as chief product and technology officer at Ada Health. His career also includes senior engineering and technology leadership roles at Amazon, Meta and Prime Video, where he helped develop AI-powered consumer technologies. Having advised UnlikelyAI since 2023, he will now lead the company's technology and research strategy as chief technology officer. Graham added: "I've spent my career building ambitious AI and getting it into production in places where being wrong is expensive. "What UnlikelyAI is doing is technically distinct, with neurosymbolic AI that produces outputs you can audit and explain, built for the industries where that matters most. "Today, AI you can actually trust and interrogate isn't optional, but it's also genuinely hard to build. "My focus is making that achievable at scale, so that enterprises can adopt the platform largely themselves, satisfy their risk and compliance teams, and reach deployment decisions at pace." Both appointments support UnlikelyAI's ambition to make its neurosymbolic AI platform more accessible to enterprise customers by enabling organisations to move AI projects from pilot programmes into full-scale deployment. William Tunstall-Pedoe, founder and chief executive of UnlikelyAI, added: "The trust gap in enterprise AI is significant and growing. "Businesses across sectors are discovering that the AI tools they've invested in can't get past the pilot stage, because they can't provide the accuracy, explainability or auditability that production demands. "Graham and Rakesh join at exactly the right moment - Graham to build the technical architecture that makes our neurosymbolic platform deployable at scale, and Rakesh to build the operational foundations that get it in front of the businesses that need it most." Want your business, product or service to be seen regionally and nationally? Bdaily helps you get your story in front of the right audience, every day. Find out how Bdaily can help Join more than 55,000 subscribers by signing up to our daily bulletin each morning here. Explore these topics. Enjoy the read? Get Bdaily delivered. * Occasional offers & updates from selected Bdaily partners

Unlikely Artificial Intelligence Limited. has been named to the AIFinTech100 2026. Here's what the list is really telling. Published 17.06.2026 Read time 2 min The global market for AI in financial services was worth around $14.9bn in 2024. On current projections it reaches $50.7bn by 2034. That kind of growth tells you where the money is going but it tells you less about what is actually working. From experimentation to deployment. The more telling shift this year is that firms have spent the past few years piloting AI, running experiments, testing what the technology could do. The question has now moved on, it is no longer whether AI is impressive in a demo, but whether it holds up in production, under real conditions, in decisions where getting it wrong carries a cost. The market is moving from experimentation to deployment. This week, Unlikely Artificial Intelligence Limited. were named to the AIFinTech100 2026. Published by FinTech Global, the AIFinTech100 is the sixth annual list of the companies shaping AI in financial services. This year more than 2,000 companies were assessed; 100 made the final cut. Unlikely Artificial Intelligence Limited. is on it for the work that has defined Unlikely Artificial Intelligence Limited. from the start: AI that regulated institutions can actually depend on, where every decision can be traced, checked, and shown to a third party. What is the list telling. What is striking is how the framing around the list has changed. FinTech Global's CEO, Richard Sachar, described this year's selection as a move away from what the technology can do toward "whether it delivers reliably in real-world use." That is the exact shift Unlikely Artificial Intelligence Limited. has spent years building toward. For a long time the conversation rewarded capability, the demo that dazzled. But the institutions deploying AI into credit, fraud, compliance and underwriting have learned that the harder test comes after the demo: can you explain the decision when a regulator asks? Read this year's list that way and it looks less like a roster of clever tools and more like a map of who is solving that question. The market is maturing. And in regulated industries, maturity does not look like more capability. It looks like accountability. Proud to be recognised among the companies getting that right. The full AIFinTech100 list is available at AIFinTech100.com. Follow Unlikely Artificial Intelligence Limited. on LinkedIn to hear more from the team.