Banking · 4 November 2026
Murphy Appoints Ex-Revolut Product Leader Dmitry Zlokazov as CPO
AI startup Murphy has named Dmitry Zlokazov, former Global Head of Product and Head of Retail at Revolut, as co-founder and Chief Product Officer, according to Finextra. The company builds AI agents for manual bank operations, starting with debt collection.
What happened
AI startup Murphy has appointed Dmitry Zlokazov, formerly Global Head of Product and Head of Retail at Revolut, as co-founder and Chief Product Officer. The appointment was reported by Finextra.
Zlokazov is joining Borja Solé, who is ex-Y Combinator, and Marc Sanchez, formerly of Twilio, in building the company. Murphy develops AI agents intended to take over manual bank operations, with debt collection as the first area of focus.
The coverage presents the move as a leadership appointment at the product level. The source material does not include details on funding, customer deployments or launch timing.
Why it matters
The appointment signals that Murphy is treating its product function as central to the business from the outset. A Chief Product Officer with a background in retail banking product and fintech operations suggests the company is focused on how AI agents fit into real banking workflows, not only on the underlying models. For financial institutions, the question is shifting from whether AI can perform back-office tasks to how those tasks are redesigned around the people affected by them.
Debt collection is a revealing starting point. It is a high-volume, high-friction process where the customer experience is shaped by tone, timing and the perceived fairness of each interaction. Automating it means automating a moment that customers already find stressful, so the design choices made now will matter as much as the efficiency gains.
The Renascence take
Most coverage of AI agents in banking focuses on what they can automate. The more useful question is what customers and staff experience when a manual process becomes an agent-led one. Automating collections is a service design problem before it is a technology one, and the principles of fairness, transparency and predictable escalation will determine whether customers trust the outcome.
Efficiency is the easy metric to report and the hardest to defend when a customer in financial difficulty feels handled rather than heard. Behavioural economics suggests that perceived fairness and control drive how people respond to debt, so the experience design matters as much as the automation rate. Operators evaluating agents like these should map every customer touchpoint, define clear human handoff points, and measure complaint and repayment outcomes alongside cost savings. The organisations that get this right will treat the agent as part of the service, not a replacement for it.
Sources
This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.
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