Case Studies · Automotive Intelligence
One operating system, running a real automotive business.
Four production systems, built with a multi-brand automotive group, from the first enquiry to the last reconciled rupee. Each stands alone; together they run the complete dealership operation on one governed, grounded operating system.
The deployment
A multi-brand automotive group.
The suite runs sales, service, parts, finance & CX for a multi-brand automotive group, grounded in years of operating data, deployed on-premise inside the group's boundary, and licensable to peer dealers. This is where the operating system earned its claims.
Specific outcome figures are commercially sensitive and are shared under NDA in a live walkthrough.
What it runs
Revenue IntelligenceLead response · test-drive conversionService IntelligenceVoice booking · parts forecastingFinancial IntelligenceReconciliation · audit-ready reportingCX IntelligenceRetention · lifetime engagementLead Management System
No lead waits. No lead leaks.
Enquiries arrive across web, phone, walk-in and OEM portals. A slow or inconsistent first response leaks pipeline, and conversion numbers only surface at month-end, too late to act on.
A grounded lead agent that answers every enquiry in seconds, qualifies it against the group's sales policy, routes it to the right brand and outlet, schedules the test drive and follows up until closure.
Every touch is logged and conversion is measured at each stage: first response, qualification, test drive, booking, not estimated after the fact. Sales staff stay in control; the agent handles speed and consistency.
Enquiry → test drive → closure, measured
Auto Insurance Intelligence
Renewals that never slip. Quotes that are never guessed.
Motor-insurance renewals slip through the cracks and manual quoting is error-prone. Premium and IDV must be exact. A model must never invent a number a customer will be charged.
An insurance agent grounded in insurer rules and the group's policy book that runs the renewal pipeline, compares policies, prepares endorsements and coordinates claims.
Every premium and IDV is computed deterministically and validated by the math layer, never generated by the model. The model handles language and coordination; customers get fast answers and the team gets an auditable trail.
Grounded in insurer rules
Financial Cockpit
Complex reconciliations, one cockpit.
Automotive finance spans many ledgers: OEM incentives and debit notes, bank disbursements, insurer payouts, DMS entries and inter-branch transfers. Reconciliation is slow, manual and only truly done at close.
A reconciliation cockpit that ingests every ledger and matches across all of them continuously: the model interprets and explains, deterministic math validates every figure, and unmatched items surface with reasons.
Audit-ready every day, not just month-end. Exception queues route each mismatch to the right owner with an explanation, so finance stops chasing spreadsheets and starts reviewing exceptions.
The model explains · the math validates
ERP Agents
The whole operation, run by governed agents.
The ERP is a system of record: staff still do the work by hand, and approvals and governance are inconsistent across outlets.
Governed agents inside the ERP itself that manage sales orders, service workflows, parts and inventory, purchase approvals and compliance tasks across the group.
Every agent action passes the policy gate first: allow, mask, escalate for human review, or deny and log. The ERP becomes a system of action, with humans in the loop wherever policy demands it.
System of record → system of action
Beyond automotive
The cases are automotive. The operating system isn't.
Every layer beneath these cases (grounding, specialized models, policy, ROI engineering) is industry-agnostic by design. If your operation runs on complex rules and hard numbers, we should talk.
See the platform underneath →Grounded Intelligence. Sovereign AI. Engineered ROI.