This scenario illustrates how teams in this industry typically approach strategy deployment with Kanrix.
The Challenge
A mid-size pharmaceutical manufacturer with two production sites faced a tension that is common in the industry but rarely addressed directly: the KPI framework designed for operational performance management and the documentation assembled for regulatory audits were maintained separately, by different teams, for different audiences.
The quality assurance team maintained the compliance documentation — deviation logs, CAPA records, batch release records, equipment qualification status — in the quality management system, reviewed at the monthly management review as required by GMP guidelines. The operations team tracked production performance — OEE, right-first-time rate, schedule adherence, yield — in a separate reporting structure, reviewed weekly in operational meetings.
The result was two parallel performance management systems with significant overlap and no integration. The monthly management review assembled data from both systems manually, took two days to prepare, and always raised the same question: “Are these numbers from the quality system consistent with what operations reported last week?” The answer was usually “approximately,” which was not reassuring in a regulatory context.
When the sites were preparing for regulatory inspection, the compliance documentation team had to reconstruct several months of management review evidence from inconsistent sources. The audit went well, but the preparation cost was significant, and the team knew the approach was not scalable.
The Approach
The design principle was that the same data source should serve both operational review and compliance documentation requirements. This required two things: agreement on which KPIs belonged in a unified framework, and an integration layer that connected the quality management system and the production systems to a single operational view.
Working with the quality and operations teams together, a unified KPI framework was built in Kanrix. The framework had three layers.
The strategic layer contained the six KPIs that appeared in the annual strategic plan and the management review: right-first-time rate, batch cycle time, on-time release, customer complaint rate, deviation closure within target, and audit finding closure rate. These metrics were directly connected to the organisation’s annual strategic priorities and satisfied the regulatory requirement for documented management review of quality KPIs.
The operational layer contained the leading indicators used by production and quality teams in their weekly operational reviews. Process parameter deviation alerts, planned maintenance compliance, environmental monitoring results, and training completion status were tracked here — all feeding into the strategic KPIs above.
The compliance documentation layer used the same underlying data to generate audit-ready reports: trending analysis, deviation patterns, CAPA effectiveness reviews, and the documented evidence of management review that regulators expect to see.
What Changed
The most significant change was in the monthly management review. Preparation time fell from two days to approximately two hours, because the data was already consolidated and the trending views were generated automatically. The discussion quality improved because the team spent less time reconciling data and more time discussing what the data meant.
The second change was in inspection readiness. When a regulatory inspection was announced, the compliance documentation team had a complete, consistent, time-stamped record of management review evidence going back to the start of the system implementation. The quality of the documentation was consistent because it was produced from the same process every month, rather than assembled from different sources when an inspection was imminent.
The Outcome Pattern
Pharmaceutical operations teams that integrate their operational and compliance KPI frameworks typically find that the regulatory and operational benefits reinforce each other. The structured monthly review that regulators require for GMP compliance, when it is operating on real-time data rather than manually assembled reports, also produces better operational decisions. The leading indicator visibility that improves operational response times also creates the documented evidence trail that demonstrates ongoing process monitoring to auditors.
The investment in building an integrated framework is not trivial — it requires agreement between quality and operations teams on definitions and data sources, and it requires the data integration work to connect source systems. But the compound return, across operational efficiency, inspection readiness, and the cost of audit preparation, is consistently significant.