Autonomous Multi-Agent Enterprise Ops
Multi-agent system automating invoice reconciliations, ticket routing, and vendor audits.
SubsidiaryUrekha Studio & Research
Client / DomainLogistics & Supply Chain Partner
Turnaround Time3 Weeks Deployment
CategoryAutonomous AI Systems
82%
Manual Tasks Automated
14 Sec
Resolution Speed
99.6%
Audit Accuracy
The Challenge
High manual overhead in processing vendor shipping invoices, cross-referencing bills of lading, and handling exception disputes across multi-state depots.
The Engineering Solution
Deployed a swarm of specialized autonomous LLM agents (Auditor Agent, Communication Agent, Resolution Agent) with human-in-the-loop fallback and stateful execution graphs.
Deliverables Shipped
LangGraph Multi-Agent Stateful Orchestration Architecture
ERP Webhook Connectors (SAP & Custom SQL databases)
WhatsApp Business API Multi-Turn Conversational Bot
Executive Exception Dashboard with Real-Time Override
Verified Production Impact
Automated 82% of all daily invoice reconciliations and reduced dispute resolution time from 4 days to an average of 14 seconds.
Technologies Utilized
LangGraph Multi-AgentClaude 3.5 SonnetQdrant Vector DBWhatsApp Business APIDocker
“The autonomous swarm removed our entire vendor support bottleneck within the first week of deployment.”
Chief Operating Officer
Enterprise Logistics
Next Case Study14-Day Practical AI Workforce Cohort