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UK Startup Resolutiion Builds AI Risk-to-Resolution Category With $10.4M Funding

UK startup Resolutiion has raised more than $10.4m to build Risk-to-Resolution infrastructure, an AI category for commercial conflict. Founder Fayola-Maria Jack says it targets a fragmented enterprise problem between existing systems.

Resolutiion was founded by Fayola-Maria Jack. Its funding to date includes backing from funds and strategic investors such as LocalGlobe, Cherry Ventures, Octopus Ventures and Chevron Technology Ventures, as well as the European Union.

Jack has worked on dispute resolution before. She established the UK government’s first Dispute Resolution Practice and Lloyds Banking Group’s Disputes Centres of Excellence, co-authored the UK Government Outsourcing Playbook and undertook doctoral research in dispute resolution and behavioural science. Before founding Resolutiion, she held roles at Collins Aerospace, the Royal Air Force, the Cabinet Office and Honeywell.

“I’m focused on building a generational company,” Jack said. “I absolutely believe the next trillion-dollar technology company will come out of Europe. We know this domain deeply, we went global and cross-industry from day one and we’re building with enormous ambition.”

Tilly Fleming, investor at Octopus Ventures, said: “Fay combines incredibly deep domain expertise with the ambition to completely rethink how an industry operates. She has an incredible drive and conviction in what she is building. With Resolutiion, she’s tackling a problem she understands inside out with the potential to fundamentally change how organisations identify, manage and resolve commercial conflict.”

Resolutiion argues that enterprises have spent decades digitising major business objectives. CRM manages customers, ERP manages resources and transactions, CLM manages contracts and PPM manages projects. But the messy part in between remains human. Operations sees the risk, programme teams see the delay, procurement sees supplier underperformance, finance sees the financial exposure and loss, customer service sees the complaint and legal eventually sees the claim. Resolutiion says it oversees the whole Risk-to-Resolution lifecycle. According to its Global Report on Commercial Conflict 2025, nearly three-quarters of organisations say the cost of conflict is rising. The work involved in preventing and resolving those problems is scattered across contract and commercial management, supplier management, programme and PMO teams, with no single software category for it. Resolutiion wants to create one.

The startup is positioning itself within a broader investor thesis about AI-native services. Sequoia recently called this “services: the new software,” arguing that for every dollar spent on software, around six are spent on services, and the next trillion-dollar company could sell the work rather than the tool. Bessemer has reached a similar conclusion, arguing in its AI-native services thesis that AI is moving beyond systems that help humans perform work towards systems where the outcome itself becomes the product. Y Combinator has pointed to “multiplayer AI,” arguing in its latest Requests for Startups that AI agents will increasingly work on long-running problems shared by multiple humans and agents rather than remaining trapped in individual chat windows. Resolutiion sits at the intersection of these trends.

At the centre of the company is Octavia, Resolutiion’s specialist AI intelligence, powered by proprietary infrastructure OctaviaCore. Octavia is trained on extensive domain expertise and proprietary data. It can adapt to different sectors, jurisdictions, languages and regulatory landscapes, and can be configured around an individual organisation’s processes and ways of working. Underneath sits a dynamic, modular network of large foundation models, domain-specialist models and purpose-built autonomous agents.

Octavia can continuously reason across commercial documents, contracts, communications, meetings, financial data and enterprise systems, according to the company. It can identify emerging risks, understand cause and consequence, recommend or initiate interventions, coordinate people and agents and follow an issue through to resolution. Implementation can take as little as nine days.

Dinika Mahtani, partner at Cherry Ventures, said: “Enterprises are actively seeking out AI solutions that solve multi-player problems.”