Zalos, a finance operations software startup, has raised £2.7 million in a seed round led by 14 Peaks, with participation from Cohen Circle and 20VC. It builds computer agents that log into finance systems and complete workflows such as billing, reconciliations and reporting, without requiring system replacements.
Modern finance teams operate across fragmented stacks of ERPs, CRMs, spreadsheets, email and banking platforms that are not fully integrated. As a result, teams manually move data between systems to complete billing cycles, close accounts and produce reporting. Zalos addresses this by converting screen recordings of workflows into agents that log in, navigate systems, enter data and check controls across tools including NetSuite, Sage and SAP S/4HANA. These agents operate without heavy integrations and record every action in an auditable log.
The platform is built to enterprise security standards including SOC 2 Part II certification, enterprise single sign-on, role-based access controls and on-premise deployment options. Current use cases include billing automation across multiple systems, month-end reconciliations and cross-system KPI reporting.
Zalos was founded by William Fairbairn and Hung Hoang after identifying consistent challenges in finance operations. Fairbairn spent time at Agicap speaking with CFOs about ERP implementation challenges, while Hoang worked at Apple Pay before focusing on computer agents as a way to automate workflows without relying on APIs. The pair began building Zalos after joining Y Combinator.
Looking ahead, Zalos plans to expand beyond midmarket ERPs into enterprise systems and on-premise environments, with the aim of enabling finance teams to deploy multiple agents across their operations.
Finance teams have the systems, but they are still doing the work manually because the stack is not connected. We built Zalos on the belief that CFOs should not need to rip out their existing stack to adopt the latest in AI, we want to start by sitting on top of what is already there. Computer Agents that can log in and run the workflow end to end are the fastest path to real transformation in finance operations.
The opportunity Zalos is addressing reflects a structural reality in enterprise finance. Legacy ERPs’ speed of innovation has stalled, leading to growing manual work in the place of transformative automation. AI-native ERPs may offer a credible alternative for companies that have not yet committed to a system. But for the majority of midmarket and enterprise finance teams, replacing an embedded ERP is not an attractive option; years of processes have been built around it, and too many painful system implementations remain fresh in memory. The rise of reliable Computer Agents creates a third path: automation that sits on top of the existing stack and operates it as a human would. These agents are trained once with screen recordings, then the process is automated forever, never taking a holiday, and at a speed and consistency a person cannot match.
Finance operations is one of the last areas where the complexity and embeddedness of the underlying systems have made it genuinely hard for CFOs to unlock the ROI promised by AI. What Zalos has built sidesteps that problem entirely. By operating the systems as a human would, training agents with screen recordings, they deliver the true power of finance transformation without losing any domain expertise or asking CFOs to rip out systems they have spent years configuring.
Zalos is redefining what software means for the CFOs. Zalos’ computer agents don't just assist; they log in, navigate systems, and complete workflows end-to-end. They’re giving finance professionals back hours lost to repetitive tasks so they can focus on what actually moves the business forward. It's not a copilot… it's a colleague.
