Case study

Koppert reaches 94% shared-workflow adoption with Claude Code, Cowork and N-iX

Koppert reaches 94% shared-workflow adoption with Claude Code, Cowork and N-iX

About the customer

Koppert is a Dutch family company founded in 1967, with more than 2,500 employees across 34 countries. It supplies biological crop protection and natural pollination products, including natural enemies, bumblebees, and microbials. Koppert Digital Services is its in-house product organization, building Koppert One, the platform growers and consultants use to order and plan through.

Business challenge

Koppert One is replacing a legacy webshop one market at a time, with eleven markets live across web and mobile, each with its own order deadlines, assortment rules and ERP dependencies. AI tools were already part of individual developers' workflows, and the team wanted to turn that into one shared, measurable practice across engineering, QA and business analysis.

Building on developers’ experience with AI, Koppert aimed to establish a shared, measurable practice across engineering, QA, and business analysis. The program prioritized unit-test development, test-case authoring, and business analysis to reduce manual effort and strengthen product quality. Koppert also aimed to introduce web frontend test automation and weekly executed-line coverage tracking across its web, mobile, and backend applications.

N-iX approach

N-iX proposed moving Koppert onto a Claude Team subscription and running adoption as a structured program. The team began with three high-value tasks rather than introducing AI across every activity at once.

N-iX selected these tasks using two criteria: whether the work involved enough manual effort for AI to contribute meaningfully, and whether it was close enough to the codebase to improve quality as well as output.

  • Unit tests, with Claude Code. Koppert’s engineers write and extend test suites in the branches they are already working in. This enables tests to be developed alongside code changes. A test-driven-development skill sets the pattern, while code-review and conventions-review skills help generated tests meet the same standards as hand-written tests.
  • Test-case authoring, with Cowork. Koppert’s QA team uses Cowork to create Azure DevOps test cases. Smoke and regression suites are assembled from existing coverage, helping maintain focused test suites that teams can use confidently in release workflows.
  • Business analysis with Cowork. Koppert's analysts work through requirements, specifications, and the blocked-functionality picture across the market rollouts.

Three Koppert developers were put on the Anthropic certification track. To measure the program, N-iX built a pipeline that reads Azure DevOps every Monday and publishes a dashboard, including real executed-line coverage, since no such measurement existed before.

Alongside the three use cases, N-iX built a shared library of team skills covering spec-driven development, code review, conventions review, and release and hotfix flows. N-iX also established an internal adoption champion to support the program day to day.

The skills connect to Koppert’s existing workflow through eight MCP integrations, with Azure DevOps as the system of record. Test cases created in Cowork, code reviews supported by Claude Code, and releases triggered through the hotfix skill use the same source of truth.

Three Koppert developers joined the Anthropic certification track. To establish ongoing visibility into quality metrics, N-iX built a pipeline that reads Azure DevOps every Monday and publishes a dashboard with executed-line coverage insights across the platform.

Koppert reaches 94% shared-workflow adoption with Claude Code, Cowork and N-iX
Production & adoption

Access went organization-wide in late June 2026, including manual QA as well as developers. Claude has supported daily delivery since then across both web and mobile product streams.

Adoption covers engineering, QA, and business analysis, the three functions targeted by the program. Fifteen shared team skills and eight MCP integrations are now in daily use, and 94% of active users work through the shared setup.

The release and hotfix skills are integrated into the live shipping process. The metrics pipeline that measures the program was itself built with Claude.

"Koppert's QA team had never had a real, measured picture of test coverage before this. Watching that number become something the team could actually see and trust every week, instead of guessing at it, was one of the clearest wins of the engagement," said an N-iX engineer working with Koppert Digital Services.

Results

Weeks are counted from the start of onboarding on 1 July 2026. Coverage figures are based on executed-line test runs from the delivery pipeline.

  • Shared AI delivery model: Individual AI practices → fifteen team skills and eight MCP integrations in daily use, reaching 94% of active users in nine weeks from onboarding (Claude.ai Team analytics).
  • Platform-wide coverage visibility: Not measured → weekly executed-line coverage measurement across web, mobile, and backend applications from week 5 (delivery pipeline).
  • Web frontend testing: No test framework in place → working Vitest suite with 5.23% coverage in eight weeks (Vitest).
  • Mobile unit-test coverage: 50.89% → 57.40% from weeks 5 to 10 (jest --coverage).
  • Backend unit-test coverage: 44.12% → 47.25% from weeks 8 to 10 (jest --coverage).
  • Anthropic certification: 1 → 2 developers on the certification track in eight weeks (engagement records).
Stack
  • Claude products: Claude Code for unit tests, spec-driven development, code and conventions review, release flows, and hotfix flows; Claude Cowork for test-case authoring, smoke and regression-suite assembly in Azure DevOps, and business analysis.
  • Plan: Claude for Teams, upgraded from Standard during the engagement
  • Models: Claude Opus and Claude Fable.
  • Deployment: Directly on the Claude.ai Team plan, without Amazon Bedrock or Google Vertex.
  • Integrations: 4Eight MCP integrations, with Azure DevOps as the system of record.

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