AI adoption at enterprise scale

Case studies

Evidence from the log

1. 19 Oct 2026

   Extended coverage reporting to mobile test suites

   Mobile teams write tests in Java with TestNG, which the first parser couldn't read. Added a Java-aware parser so their coverage shows up in the same weekly report.

   AI angleAn agent asked "how covered is the app?" needs every platform in one model, or it answers for web only. This closes the gap so the coverage data an MCP server will serve to agents describes the whole product.

   Telecom, Quality engineering. Part of Coverage intelligence, a quality data layer for agents

2. 14 Oct 2026

   Published a structure and naming standard for 20+ test repositories

   Every team laid out its repository differently, which made automated reporting brittle. Wrote one standard for folders, tags and naming, with a migration checklist per team.

   AI angleA predictable layout is the context layer agents need. With one standard, every agent (test generation, review, coverage queries) finds tests, page objects and tags in the same place in every repository, instead of each agent being tuned per team.

   Telecom, Quality engineering. Part of Coverage intelligence, a quality data layer for agents

3. 6 Oct 2026

   Shipped the first weekly automation-coverage report

   21 teams, measured straight from code instead of spreadsheets. The first run put regression automation coverage at 81.7%.

   AI angleGives the AI test-automation programme a baseline measured from code, so the effect of test-generation agents shows up in the numbers, and gives future agents a trusted source to query.

   Telecom, Quality engineering. Part of Coverage intelligence, a quality data layer for agents

4. 29 Sep 2026

   Started coverage measurement from source

   Leadership's automation numbers came from hand-kept spreadsheets nobody could trace. Prototyped a zero-dependency pipeline that clones every team repository and counts tests by tag.

   AI angleThe first step toward a quality data layer agents can read through MCP. An agent can't reason about coverage when the only source is a spreadsheet.

   Telecom, Quality engineering. Part of Coverage intelligence, a quality data layer for agents

5. 22 Sep 2026

   Launched a searchable catalog of 27 agents

   Mapped every agent and skill to one of seven SDLC phases and published them in a docs portal, so engineers find an agent before they write a new one.

   AI angleTurns a pile of agents into a toolkit. Reuse rises, duplicates fall, and the programme can see which SDLC phases still have no agent support.

   Quality engineering, Developer platforms and tooling. Part of Custom Copilot agents for test-automation teams

6. 4 Sep 2026

   Built a one-run installer for agent packages

   Engineers on Windows and macOS pull every approved agent package with one command, and a staleness report shows which repositories are behind.

   AI angleRemoves the setup friction that stops engineers from using agents at all, and tells the programme where teams are running stale agent versions.

   Telecom, Developer platforms and tooling, Quality engineering. Part of Agent and skill distribution platform

7. 25 Aug 2026

   Moved agent distribution to a single registry

   Copies of agent files had drifted across repositories. Now one registry generates every manifest, and packages are versioned and reviewed before release.

   AI angleAgents are now shipped like software. A prompt or skill fix reaches every team, and nothing changes agent behavior without review.

   Telecom, Developer platforms and tooling, Quality engineering. Part of Agent and skill distribution platform

8. 13 Aug 2026

   Changed the rollout plan for code-review skills

   Found that code-review skills only load from a repository's default branch, so teams testing on feature branches saw nothing. Rewrote the rollout steps around that.

   AI angleKnowing how the agent platform actually loads skills is the difference between a rollout that works and teams deciding AI review "doesn't do anything".

   Quality engineering, Developer platforms and tooling. Part of Custom Copilot agents for test-automation teams

9. 29 May 2026

   Prototyped an internal agent marketplace

   A place to publish agents, skills and MCP servers, with trust tiers (approved, community-vetted, beta) and trace-based vetting before anything is listed.

   AI angleGovernance for agent sprawl. Teams share agents and MCP servers through one marketplace, and evaluation decides what they can trust.

   Developer platforms and tooling. Part of Agent evaluation pipeline

10. 12 May 2026

    Started versioned packaging for AI agents

    Test teams were copy-pasting agent files between repositories. Proposed packaging them like any other dependency, with a schema and a review gate.

    AI angleThe first move from "everyone has their own prompt files" to a managed agent supply chain the programme can govern.

    Telecom, Developer platforms and tooling, Quality engineering. Part of Agent and skill distribution platform

11. 20 Apr 2026

    Rolled out custom Copilot agents to test-automation teams

    Wrote agents and skills that generate Playwright tests in each team's own conventions, and ran hands-on sessions so teams actually used them.

    AI angleGeneric assistants write generic tests. Encoding each team's frameworks and conventions into agents is what made the output mergeable, and the sessions are what made people use it.

    Quality engineering, Developer platforms and tooling. Part of Custom Copilot agents for test-automation teams

12. 10 Nov 2025

    Moved Visual Basic modules to Java 21 with spec-driven agents

    Ad-hoc AI coding gave inconsistent results. Each module now gets a written spec first, then agents implement and test against it.

    AI angleSpec-driven development makes agent output repeatable. The spec is the contract the agent is held to, and the CI loop lets it correct itself.

    Banking and financial services, Legacy modernization. Part of Agentic legacy modernization and code intelligence