AIAutomationPipeline

The Problem

The client managed a 12-person manual approval process that took an average of 3 business days per cycle. Each case required four department sign-offs, was tracked via email chains, and suffered from a 14% error rate due to version conflicts and missed updates.

Our Solution

We replaced the entire workflow with a custom AI-driven orchestration pipeline. An LLM-based triage layer auto-classifies incoming requests, routes them to the correct approver, and flags anomalies before human review. A real-time dashboard gives all stakeholders full visibility with no additional tooling required.