Yiren Digital reduced manual intervention by 44.6% and lifted staff productivity by 47% after deploying AI agents across its fintech and asset recovery workflows. The results, announced on 27 Jul 2026, show how agent-driven automation can reshape operational efficiency at scale.
The company's "All-in-AI" strategy shifted operations from simple AI assistance to full agent-driven execution. The MagiCube 2.0 platform provided the infrastructure, creating reusable capabilities across marketing, risk management, and compliance without proportional cost increases.
From assistance to execution
Yiren Digital embedded AI agents directly into core workflows, slashing the human handling rate in asset recovery from 45.0% to 24.9%. That 20.1 percentage point decline came from automating high-volume, rule-based tasks. Staff handled service tickets with a 47% productivity boost, while the Fengchao AI system processed 1,500 hours of speech-to-text daily. This transition represents a practical deployment of AI Agents & Automation in regulated industries.
Where AI agents delivered measurable gains
The LingShu intelligent marketing platform now runs over 1,700 daily tasks, generating personalized content in 0.6 seconds per piece. In asset recovery, AI agents handle 20% of tickets in late-stage workflows by Month 2. These workflows show the impact of AI for Operations on day-to-day business processes. The company built 10 or more reusable capabilities that support enterprise-wide automation. The integration of the Zhiyu Large Language Model further speeds the shift to an AI-native platform.
Why this matters for operations
Yiren Digital's results show that agent-driven execution can deliver structural efficiency gains, not just incremental improvements. For operations professionals, the key takeaway is clear: embedding AI agents into high-volume, rule-based workflows can reduce manual intervention by double-digit percentages while maintaining control in regulated environments. The 47% productivity jump suggests that headcount can remain flat even as volumes grow, directly affecting cost structures and scalability.
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