back_office_ops · ecommerce · workflow
Rakuten deploys Claude Managed Agents across business functions, cutting critical errors by 97% in pilot
Before Managed Agents, Rakuten's engineers had to build their own agent infrastructure for persistent compute, memory, and storage, investing significant effort in scalability and reliability work that was not their core differentiator.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Task assigned via collaboration tool
Users create and assign tasks to agents through Slack, Microsoft Teams, or Rakuten's own Kanban-style task system.
Tools used
Claude CodeSlack · partnerMicrosoft Teams · partner
Outcome
With Claude Managed Agents, Rakuten deploys specialist agents within a week across engineering, product, sales, marketing, and finance. In a pilot, initial critical errors dropped by 97% and cost and latency fell by more than 30% without any loss in output quality. One product manager now oversees major releases every two weeks, compared with a full quarter previously.
Results
Time savedwithin a week
Volume97%
Cost replacedmore than 30%
Grounding & classification
Source type: vendor customer story
38 fields verified against source quotes, 1 dropped as unverifiable.
agentic workflowai agentanomaly detectionconversational aimulti agent workflowknowledge basesupport tickethuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedecommercefinancial servicessoftwaretelecomcost reductioncycle time reductionemployee productivityerror reductionvendor customer storyback office opscustomer supportfinance opsincident managementagentic task executionautonomous resolutionescalation workflow