Inside the UK startup building AI’s next enterprise category
Sifted
A UK startup wants AI to handle commercial conflict before it turns into a legal mess. Resolutiion says that gap is huge, messy and too fragmented for one team to manage.
Based on reporting by Sifted — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Legal AI has already become one of venture capital’s favourite bets. Harvey and Legora showed investors that expensive, judgement-heavy legal work can be squeezed by software. Now a UK startup called Resolutiion thinks the bigger prize sits earlier in the chain: the messy stretch where delivery starts to wobble, costs climb and disputes begin to form.
Founded by Fayola-Maria Jack, Resolutiion has raised more than $10.4m so far from backers including LocalGlobe, Cherry Ventures, Octopus Ventures, Chevron Technology Ventures and the European Union. Jack has spent much of her career in the same sort of problem the company is built around: she set up the UK government’s first Dispute Resolution Practice, built Lloyds Banking Group’s Disputes Centres of Excellence and co-authored the UK Government Outsourcing Playbook. Her pitch is not small. She says the company is building a generational business and believes the next trillion-dollar technology company will come out of Europe.
The company’s idea is called Risk-to-Resolution, or R2R. The point is to cover the whole path from emerging risk through conflict, cost management and eventual resolution. That matters because enterprises have already digitised customers, resources, contracts and projects, but the awkward work between those systems still falls to people. Operations spots the risk, programme teams see the delay, procurement sees the supplier problem, finance sees the exposure and legal shows up later, once the damage has already spread.
Resolutiion wants to make that gap into a software category. Its system, Octavia, sits on proprietary infrastructure called OctaviaCore and is trained on domain expertise and proprietary data. The company says it can work across sectors, jurisdictions, languages and regulatory settings, and that implementation can take as little as nine days. Under the hood are foundation models, specialist models and autonomous agents that can read documents, contracts, messages, meetings and financial data, then identify risk, recommend action and, in some cases, start the intervention itself.
The pitch is broader than legal tech. Resolutiion is aiming at B2B delivery, customer redress, advisory and assurance, and workplace disputes, all of which involve long chains of handoffs where money and time leak away. Investors seem to like that framing. Octopus’ Tilly Fleming says Jack combines deep domain knowledge with the drive to rethink how an industry works. LocalGlobe’s Tom Lambert says the company is tackling judgement-heavy work that has historically been split across procurement, operations, legal and outside advisers. Resolutiion is already seeing traction across the UK, North America, Africa and APAC, including in energy, utilities, construction and government. It also landed on Microsoft Marketplace in August 2026, with Dynamics 365 and Copilot integration, and joined Microsoft’s Pegasus programme.
My take — AI-written commentary, not fact-checked reporting
This is the kind of AI story Europe should be backing: ugly, operational and expensive to ignore. The market already has enough chatty copilots pretending to be productivity; the real money is in systems that stop value leaking through the cracks. The bold part is not the model, it’s the claim that a whole category of enterprise work has been hiding in plain sight.
Read more about this at: Sifted
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