Pinnaql strengthens scientific and manufacturing expertise with PRG acquisition.

Enterprise-wide data integrity across 700+ systems

Pinnaql partnered with a top 10 global CDMO to assess, remediate, and standardize data integrity practices across laboratory and manufacturing systems—avoiding costly 483s and elevating compliance.
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Key outcomes
  • 700+ systems assessed across global sites.
  • 50+ equipment families evaluated and classified.
  • 135+ SOPs, protocols, and system docs revised.
  • Enterprise-wide access controls and audit trail standards implemented.
  • Elevated inspection readiness and regulatory compliance.
  • Powered by cross-functional collaboration between QA, validation, and automation teams.

Challenge overview

Manufacturing process integrity

Background:

A global CDMO needed to address widespread data integrity risks tied to obsolete software, inconsistent access management, and lack of audit trail controls across hundreds of systems.

Key challenges:

  • Fragmented system documentation and validation practices.
  • Lack of standardized audit trail, backup, and access controls.
  • Increased regulatory scrutiny across US and EU sites.
  • No consistent governance model for ongoing data integrity.

Our approach

Lab data integrity

System inventory & risk classification

  • Evaluated 700+ systems and categorized by equipment family.
  • Used GAMP 5 risk-based methodology to prioritize remediation.

Cross-functional collaboration

  • Partnered with SMEs, IT, QA, and operations teams.
  • Developed 50+ detailed data lifecycle flow diagrams.

Technical & procedural review

  • Reviewed SOPs, access management, audit trail capabilities, backup/restore processes.
  • Assessed gaps in validation, documentation, and electronic records compliance.

Governance & remediation

  • Updated 135+ procedural documents and protocols.
  • Implemented enterprise-wide policies for audit trail, access, and system validation.
  • Established sustainable governance framework for ongoing compliance.

Results & measurable impact

Manufacturing data review

As life sciences companies grow and digitize, fragmented data practices can introduce massive regulatory risk. This case shows how Pinnaql helps organizations take control of system-level compliance, implement sustainable data governance, and stay audit-ready across global operations.

Key results

  • 700+ systems brought under a standardized, inspection-ready DI framework.
  • Eliminated regulatory risk from outdated practices.
  • Strengthened compliance posture across global manufacturing and lab operations.
  • Created a scalable model for future system onboarding and validation.
  • Improved confidence during internal and external audits.
  • Avoided costly remediation efforts and regulatory citations (483s, warning letters)

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