Knowledge Hub: Engineering Intelligence Explained | SPREAD

Connected Vehicle Diagnostics with AI | SPREAD

Written by SPREAD Team | 29.07.2026

A car flags a fault on the road, and today the journey from that signal to a fix runs through a maze of disconnected systems. At CUBE 2026, SPREAD and Salesforce announced a direct integration to close that gap. Connected vehicle diagnostics joins a vehicle's live fault data to the product context behind it, its variant, its diagnostic trouble codes, and the repair procedures that apply, inside the workflow teams already use.

The integration connects Salesforce's Customer 360 with SPREAD's Product 360. Sales, service, and aftermarket teams get live product context, including all relevant variants, diagnostic trouble codes, and repair manuals, without leaving their workflow. With Agentforce, ready-to-execute work orders are created within minutes, so everything is set for workshop intake before the vehicle arrives.

The session covers:

  • Why engineering and customer data living in separate systems creates lag and errors
  • What Customer 360 meeting Product 360 looks like in practice
  • How Agentforce turns a fault into a ready-to-execute work order in minutes
  • Why this needs a real connected model of the product, not just data sharing

Watch the full announcement above, and see the connected model behind Product 360 on the SPREAD platform and for software-defined vehicles.

The integration builds on the foundations set out at CUBE 2026: Robert Goebel on context engineering and Philipp Noll on the agent-native product lifecycle. Watch the full CUBE 2026 recap.