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A global automotive manufacturer·Automotive·Global·End-to-end AI delivery

An enterprise knowledge assistant cut internal search time by 40% across automotive engineering and operations.

Internal search time
-40%
Cross-team collaboration
Improved
Onboarding
Faster
A global automotive manufacturer illustration
At a glance

What we shipped

A RAG-based enterprise knowledge platform that unifies documents, engineering systems, and operational databases for natural-language retrieval.

Challenge

Automotive manufacturers run complex organizations with thousands of employees across engineering, manufacturing, supply chain, and customer support. Critical knowledge is scattered across document repositories, email archives, design systems, and operational tools. Employees spend significant time searching for technical guidelines, service documentation, internal procedures, and prior engineering decisions.

Approach

Blueprint → AI Pilot → Production launch → Scale and operate.

We followed the Datablooz Delivery Model. See our process.

  1. Blueprint

    Identified internal systems (CRM, document stores, engineering tools), data classifications, and access controls.

  2. AI Pilot

    Built enterprise connectors and prototyped a RAG-based assistant on service documentation, measured against human baselines.

  3. Production launch

    Rolled out natural-language query, knowledge graph linking, and drafting assistants across engineering, service, and operations teams.

  4. Scale and operate

    Expanded connectors, monitored retrieval quality, and extended to supplier information and manufacturing process documentation.

Outcomes

Business, technical, and governance outcomes.

  • 40% less time searching for internal information.
  • Improved engineering and operations collaboration.
  • Faster onboarding for new employees.
  • Centralized access to technical documentation.
Architecture and stack
  • Python
  • LLMs
  • RAG
  • Vector Database
  • Knowledge Graph
  • Enterprise Connectors
Governance

Role-based access, audit logging on retrieval and prompts, and source-grounded responses with citations.

Working on something similar?

Schedule a call. We will tell you honestly whether AI is the right move.

Schedule a callEmail info@datablooz.com

Reference calls available under NDA after the second working session.