Solution
AI knowledge platform for OEM-dealer networks
Our solution helps OEMs and NSCs deliver consistent, source-cited, easy-to-use answers to dealerships through a governed AI knowledge layer built specifically for automotive retail networks.
The problem
The information exists. The network still struggles to use it.
Most OEM dealer networks already have the answers. They exist across:
- intranet portals,
- PDFs,
- sales alerts,
- technical service bulletins,
- finance campaign documents,
- warranty guidance,
- price lists,
- operational emails,
- training materials,
- and dealership support teams.
But when a customer is waiting for an answer, dealership staff rarely have time to search through multiple systems, outdated portals or long document threads. So they either spend too much time finding the right answer, or escalate questions to HQ or field teams instead.
Dealer complexity is increasing faster than operational capacity
HQ is confident that it provides dealerships with all the necessary information. And that's not wrong, it just takes too long to find it at the point of decision. This is Dealer Knowledge Latency: the delay between approved OEM knowledge existing and the dealer network being able to use it confidently at the point of decision.
This creates an operational gap between what headquarters knows, what it expects the network to execute, and what dealership teams can confidently apply in the moment.
The solution
A governed AI knowledge layer for dealer networks
The platform is designed to reduce Dealer Knowledge Latency by turning approved OEM content into source-backed answers that dealership teams can use in the moment.
Instead of searching through portals and documents, dealership staff can ask questions in natural language and receive:
- precise answers
- grounded in approved sources
- with citations to the original documents
- under OEM-defined governance and access rules
The platform is designed specifically for OEM, NSC and dealership operating models. It's proven across sales, finance, aftersales and network operations on hundreds of automotive retailer locations.
Dealership teams receive answers in seconds instead of escalating questions to HQ or waiting for callbacks.
Designed around real dealership workflows
The platform supports operational and customer-facing dealership questions across the full retail lifecycle.
Sales & Retail Operations
- sales campaign rules
- factory order eligibility
- model availability
- product specifications
- price guide interpretation
- delivery and handover guidance
Finance & Insurance
- finance contribution rules
- campaign eligibility
- F&I programme guidance
- offer interpretation and escalation support
Aftersales & Service
- warranty procedures
- technical service bulletins
- aftersales processes
- repair and servicing guidance
Network Operations & Enablement
- operational alerts
- onboarding and training
- multi-brand and multi-country support
- rollout and programme updates
Under the hood
Generic chatbots fall over on the documents OEMs actually produce – multi-layered spreadsheets, PDFs with diagrams and nested tables, content where one visual layout hides several logical tables. The platform is built to handle exactly that, with every answer traceable back to its source document, page and section.
The stack: .NET and Semantic Kernel orchestrating the query pipeline on Azure AI Foundry, Docling for document extraction, OpenAI GPT models for understanding and generation.
200+
Retail partner sites supported with users across HQ and retailer network.
1000+
Documents and articles added annually.
5 steps
Each query goes through preprocessing, query rewriting, brand/context extraction, retrieval and cited-answer generation.
10+
Document formats handled – including complex PDFs with tables and diagrams, and business spreadsheets with multi-layered structure.
100%
Answers grounded in approved source content, with citations to document, page and section.
AI Knowledge Platform
A governed AI layer that turns your approved documents, policies and guidance into plain-language, source-backed answers – usable at the point of decision.
Download →Turn OEM knowledge into operational execution
Help every dealership answer like HQ: instantly, accurately and from approved sources.
Let's talk about reducing Dealer Knowledge Latency across your network.
Ready?
Our insights
Case studies, articles, and thought leadership from our senior engineering team.
View all →RAG Beyond the Demo: Practical Lessons from Implementing Retrieval-Augmented Generation in Real Enterprises
Most RAG demos look impressive. Then the real documents arrive. Here are seven lessons from implementing Retrieval-Augmented Generation in real enterprise environments.
Read more → case study 19 Jun 2026Turning approved Renault knowledge into instant, source-backed retailer answers
How Cloud Drift eliminated Dealer Knowledge Latency for Renault UK – turning a distributed document library into a governed AI platform that gives retailer teams instant, source-backed answers at the point of decision.
Read more →