Employee-Facing AI AgentsBPOAssistive
Back-office quality and throughput agent
Problem. Back-office processors work queues with uneven quality, and coaching depends on small manual samples reviewed weeks later.
Agent design. Agent reviews completed work items against process rules, gives processors in-the-moment guidance on the next case and gives team leads ranked coaching themes per person.
Outcome. Quality improves during the shift rather than in retrospective review, and coaching targets real error patterns.
Acts in. Case / workflow management · Process rules · Quality management
10–20 point first-pass accuracy lift · 30–50% lower rework cost · coaching evidenced across full volume
Works with
Azure OpenAIAWS Bedrock