How Duvo Uses Claude to Automate Enterprise Operations and Recover Abandoned Work
Duvo builds AI agents that orchestrate multi-step workflows across fragmented enterprise systems—ERPs, supplier portals, spreadsheets, and email—without requiring API integrations. Using Claude, Duvo's agents handle tasks such as supplier chasing, price monitoring, and promotional setup with human-in-the-loop approval for high-risk actions. Early customer Rohlik Group realized €2.8M in annualized savings within three months of deployment.
Impact
€2.8M+
Annualized savings at Rohlik Group within three months
€1.45M
Annualized savings in first week from price monitoring
65–70%
Reduction in promotional setup time
50–70%
Reduction in supplier onboarding chasing time
78% → 93%
Product availability improvement (two weeks)
~80%
Supplier negotiations automated
52% → 90%
Inbound delivery confirmation coverage increase
40%+
Team capacity freed up on average
8 weeks
Time from conversation to production with measured savings
Challenge
Enterprise operations teams lose millions in value to 'abandoned work'—tasks that never execute because teams lack capacity to act on every item across disconnected systems like ERPs, supplier portals, and spreadsheets.
Solution
Duvo built Claude-powered AI agents that navigate enterprise systems through their actual interfaces, executing multi-step workflows autonomously while routing high-risk decisions to human approvers.
Tools & Technologies
What Leaders Say
“What set Claude apart was its performance on messy, ambiguous tasks—making judgment calls on exceptions without hallucinating business rules.”
“Claude's computer use and MCP integrations are what made this technically possible. Before that, the heterogeneity of enterprise stacks was an unsolvable problem for automation.”
“That was one process. We're now running dozens.”
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Full Story
Enterprise operations teams routinely face what Duvo calls 'abandoned work'—high-value processes that never execute because systems are too fragmented and teams too stretched to act on every task. Smaller items accumulate while only the highest-priority issues receive attention, leaving millions in unrealized savings.
Duvo set out to solve this by building AI agents that interact with enterprise systems through their actual user interfaces rather than APIs, making adoption possible regardless of how heterogeneous or legacy a customer's technology stack is. The company selected Claude as its primary model after evaluating its performance on messy, ambiguous, real-world tasks—particularly its ability to make judgment calls on exceptions without hallucinating business rules.
The agents execute end-to-end: a single agent can log into a supplier portal, extract data, cross-reference multiple systems, draft and send communications, and log outcomes—all while keeping context intact. For high-risk actions, a human-in-the-loop approval step is built in. Claude's computer use capabilities provide the technical foundation for cross-system orchestration.
Rohlik Group, a European e-commerce grocery operator, became an early production customer. Within the first week of deploying a price monitoring agent across 120+ SKUs and 15+ suppliers, they recorded €1.45M in annualized savings. Duvo expanded to dozens of processes—supplier negotiations, promotional setup, delivery confirmations, supplier onboarding—each showing dramatic time reductions.
Duvo went from initial conversation to production deployment with measured savings in eight weeks, reflecting both the maturity of Claude's agentic capabilities and the platform's zero-data-retention architecture designed for enterprise security.
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