Legal AI has become one of venture capital's defining AI bets, with Harvey and Legora showing what happens when AI is applied to expensive, judgement-heavy legal work. UK startup Resolutiion wants to bring the same shift to a larger and more fragmented part of the enterprise: the messy lifecycle of commercial risk, conflict and resolution. Founded by Fayola-Maria Jack, who previously built the UK government's first Dispute Resolution Practice and Lloyds Banking Group's Disputes Centres of Excellence, the company has raised more than $10.4m from LocalGlobe, Cherry Ventures, Octopus Ventures, Chevron Technology Ventures and the EU.
Resolutiion calls its approach Risk-to-Resolution infrastructure, or R2R. Enterprises have digitised CRM, ERP, contract management and project management, but the work between those systems remains human. Its Octavia AI, powered by proprietary OctaviaCore infrastructure, reasons across commercial documents, contracts, communications, meetings, financial data and enterprise systems, identifies emerging risks, recommends or initiates interventions, and coordinates people and agents through to resolution. The company says implementation can take as little as nine days, and its Global Report on Commercial Conflict 2025 found that nearly three-quarters of organisations say the cost of conflict is rising.
The investment thesis behind Resolutiion is that AI's next breakout companies will not just make professionals faster but will perform work itself. Sequoia recently called this 'services: the new software', noting that for every dollar spent on software, around six are spent on services. Bessemer has reached a similar conclusion with its AI-native services thesis, and Y Combinator points to multiplayer AI, where agents work on long-running problems shared by multiple humans and agents. Resolutiion sits at that intersection, and its economics also target what Sequoia calls 'abandoned work' — tasks enterprises skip because human attention is too expensive, such as managing the long tail of suppliers. AI changes the marginal economics of that work, making it possible to oversee relationships that were previously ignored.