[ OPERATIONAL OPTIMISATION ]
Pitlane
Agentic Optimisation Accelerator
An agentic orchestration layer over an operational workflow. Decomposes job cards into tasks, runs the day's timesheet through a proprietary scheduling optimiser, auto-assigns work, and pushes status to customers.
Domain
OPERATIONAL OPTIMISATION
Status
PoC delivered to a global automotive OEM (abstracted)
Use when
Automotive OEMs or large dealership networks want to retire manual dispatch boards.
Reference
A global automotive OEM operating service centres across MENA
01. The problem
After-sales service centres on MENA dealership networks run the same play every day. Receive job cards, decompose them into tasks, assign tasks to bays under capacity and skill constraints, push status updates to customers. Manual dispatch boards make every step lossy.
02. The approach
An orchestrator agent ingests each job card, decomposes it into tasks, and routes the request to a proprietary scheduling optimisation engine. The optimiser returns the day's timesheet under the full constraint set; the agent assigns tasks back to the operational system and triggers customer notifications.
03. The architecture
FastAPI hosts the orchestrator. The scheduling optimiser is packaged as a containerised service on Google Cloud Run. The agent runtime calls the optimiser as a tool, keeping orchestration thin and the optimisation logic isolated and independently versionable.
04. The outcome
A working PoC that closes the loop from job card receipt to assigned timesheet to customer status, with no manual board work. A reusable pattern for any after-sales workflow with similar shape.
[ ATI SHAPE ]
Predictive intelligence
Capacity-aware scheduling under real-world constraints
Agentic execution
Orchestrator agent over a proprietary optimiser tool
Secure data
Customer perimeter respected end to end
Actionable outcomes
Day-of timesheets and customer status broadcasts
[ IMPACT ]
Real-time
Day-of timesheet generation
Multi-bay
Capacity-aware assignment
Auto
Customer status broadcasts
[ NEXT STEP ]
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