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Atlassian Services & Licenses

Unlocking the Hive Mind

Turning engineering know-how into power

Client
A global automotive supplier
Sector
Automotive

The challenge

Decades of engineering knowledge existed, but not in any form that could be found. Data types were inconsistent, storage was scattered across systems that did not talk to each other, and search returned either nothing or everything. Engineers rebuilt work that already existed because locating it was slower than redoing it.

What we did

  • Built a prototype knowledge tool with real search and sorting across the disparate sources and formats in use.
  • Integrated Corporate Product System Codes with hardware metadata so engineering artefacts could be located by the identifiers engineers actually use.
  • Established knowledge base standards and a data quality baseline.
  • Evaluated AI solutions for surfacing engineering insight, and set out where they would and would not return value on this estate.
  • Delivered a scalable analytics proof of concept with customizable queries, plus a roadmap to production.
What used to feel like information overload is now structured, searchable intelligence. Envorso completely changed how we make engineering decisions.
A global automotive supplier
Our decision making has accelerated thanks to Envorso, who delivered a smart, scalable analytics solution, bringing clarity, consistency, and new value to how we use data every day.

The practice behind this

Atlassian Services & Licenses

Architecture, migration, consolidation, Rovo and agentic capability, and the governance that keeps it clean after we leave.

Read about this practice

Where AI fits here

Includes Rovo and the agentic capability inside the Atlassian platform — deployed on a toolchain clean enough for it to work.

Two hours to find out whether we recognise your problem.

No deck, no obligation. We listen, we tell you whether we have seen this before, and we say what we think it would take. If a Jump Start is the right next step we will say so — and if it is not, we will say that too.