Legal AI has become one of venture capital’s defining AI bets. Harvey and Legora have shown investors what happens when AI is applied to expensive, judgement-heavy legal work. Now UK startup Resolutiion believes the same shift is about to hit a much larger and more fragmented part of the enterprise — one that's further upstream in delivery.
Founded by Fayola-Maria Jack, Resolutiion has raised more than $10.4m to date, backed by funds and strategic investors including LocalGlobe, Cherry Ventures, Octopus Ventures and Chevron Technology Ventures, as well as the European Union.
The company is building what it calls Risk-to-Resolution infrastructure (R2R), a new category of AI infrastructure spanning emerging risk through conflict, cost management and ultimately resolution.
Jack is not new to the problem she is solving. She established the UK government’s first Dispute Resolution Practice and Lloyds Banking Group's Disputes Centres of Excellence as well as co-authored the UK Government Outsourcing Playbook and undertook doctoral research in dispute resolution and behavioural science.
Before founding Resolutiion she held roles spanning Collins Aerospace, the Royal Air Force, the Cabinet Office and Honeywell.
“I’m focused on building a generational company,” Jack says. “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 adds: “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.”
The trillion-dollar opportunity hiding between enterprise systems
Enterprises have spent decades digitising almost every major business objective. 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. Legal eventually sees the claim. Resolutiion oversees the whole Risk-to-Resolution lifecycle.
According to Resolutiion’s 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. There is no single software category for it.
Resolutiion wants to create one.
Why Silicon Valley is looking here now
The emerging thesis among some of the world’s leading AI investors is that the next generation of breakout companies will not simply sell software that makes professionals faster. They will increasingly perform the work itself.
VC firm 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.
VC firm Bessemer also reached a similar conclusion. Its AI-native services thesis argues that AI is moving beyond systems that help humans perform work towards systems where the outcome itself becomes the product.
Y Combinator is pointing towards another shift that matters: multiplayer AI. Its latest Requests for Startups argues 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.
From copilots to intervention
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. 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 VC firm Cherry Ventures, says: "Enterprises are actively seeking out AI solutions that solve multi-player problems. They are looking for AI infrastructure that turns static documents into a live models of every commercial relationship, the obligations inside it, and where it's at risk, so issues get caught and resolved before value leaks."
The work humans do, and the work they don’t
The economics are where the R2R thesis becomes interesting. Legal AI initially attacked large volumes of work lawyers were already being paid to perform. R2R can attack existing work and work enterprises largely do not perform today because human attention is too expensive.
Sequoia describes this phenomenon as 'abandoned work'. Its example is supplier management: enterprises might negotiate with their most important suppliers, while the long tail receives limited attention because deploying skilled humans against every relationship does not make economic sense. AI changes the marginal economics of that work.
The same logic applies across R2R. A human team cannot continuously analyse every supplier, programme, customer relationship, commitment, communication, financial signal and emerging issue. But AI can.
Resolutiion is not constrained by conventional enterprise software spend. Its market combines existing software, enterprise labour, professional services and previously uneconomic work.
“We’re seeing incredibly rapid adoption of AI across professional services, particularly in areas like legal and finance as high-cost knowledge work is automated,” says Tom Lambert, partner at VC firm LocalGlobe. “We believe a similar opportunity exists in the less visible, judgement-heavy work that happens inside large organisations.
“Resolutiion is forging a new category by using AI to autonomously identify, diagnose and resolve commercial conflict, work that has historically been fragmented across procurement, operations, legal and external advisers,” he adds.
AI gets its multiplayer moment
Resolutiion is also built around a characteristic that distinguishes R2R from much of today’s enterprise AI: the problem does not belong to one user, or even one company.
A major delivery problem might involve a customer, supplier, contractor, programme team, commercial function, finance, consultants and external advisers.
Each has different information, permissions, incentives and responsibilities. Resolutiion creates a controlled environment where those parties and their agents can work around the same problem.
That architecture closely matches the direction YC is now describing as AI’s “multiplayer moment”, but extends beyond collaboration between colleagues to collaboration across entire organisations.
One category, four enormous applications
Resolutiion calls its category Risk-to-Resolution (R2R). Its initial market spans four major applications.
B2B: Complex delivery, supply chains, major programmes and projects, and strategic commercial relationships.
B2C: Customer redress, disputes and financial recovery.
Advisory & Assurance: Commercial and programme assurance, performance improvement, cost and claims analysis, recovery, delivery intervention and dispute avoidance — work traditionally supported by consultancies, specialist advisers and claims professionals.
Workforce: Workplace grievances, conflict, disputes, mediation and resolution.
The common thread is not the department, it’s the problem. A risk emerges and something starts going wrong. Different people and systems become involved as it develops. Money and time are lost in the handoffs. Eventually the problem is resolved, recovered or escalated.
R2R turns that fragmented journey into one intelligent lifecycle.
The wave after legal AI
The parallel with legal AI is deliberate, but Resolutiion does not see itself competing with Harvey or Legora.
Legal is one of the clearest proofs that AI can transform expensive, judgement-heavy professional work. Resolutiion is applying that same underlying shift to a different economic surface.
Legal services was already a defined profession and market when AI arrived. Risk-to-Resolution is currently fragmented across multiple professions, departments and services. That fragmentation is the opportunity.
Rather than digitising one profession, Resolutiion is collapsing work currently performed across contract and commercial management, supply chain, programme management, assurance, consulting, claims, administration and resolution into a single AI-native category.
The level of ambition is deliberately huge. Resolutiion is assembling a team across AI, enterprise technology and commercial delivery around a category that potentially reaches far beyond traditional SaaS budgets into labour, consulting, professional services and previously uneconomic work.
For investors looking for the next breakout European AI company after the legal AI wave, this may well be the architecture of Europe’s next trillion-dollar technology company.
This ambition is welcomed by Alex Smith, head of channel strategy at techUK, the UK's trade association for the tech industry. He says: "The UK's competitiveness depends on companies willing to take on hard, unglamorous problems and rethink them from the ground up. That is exactly what the techUK President's Award recognises, and it is why Resolutiion and Fay stood out. They are building serious, applied AI for a challenge almost every large organisation faces and few have solved."
Resolutiion is already gaining enterprise traction across the UK, North America, Africa and the Asia Pacific (APAC), including major organisations across energy, utilities, construction, government and other complex industries.
The next phase is global scale, across B2B delivery, customer resolution, advisory and assurance, and workforce with Resolutiion building R2R into a permanent layer of the global AI technology stack.
That traction is now built on public rails. In August 2026 Resolutiion’s platform became available on Microsoft Marketplace, integrating with Dynamics 365 and Copilot, and the company was one of around 20 companies to join the exclusive Microsoft Pegasus programme.
Harvey and Legora helped establish legal AI as a breakout category. Resolutiion is building the next one: upstream infrastructure that sees when delivery outcomes are at risk, identifies financial exposure, understands what to do about it, and autonomously drives the problem from first signal to final resolution.
