Services · Software Development GxP

AI-Powered GxP Custom Software: Beyond the Excel Trap

Excel spreadsheets in GxP environments are often rigid, error-prone and expensive in the long run. AI-assisted development and validation can make bespoke GxP software more economical to implement. Effort and cost depend on functional scope, interfaces and the required depth of evidence.

Our services for AI-assisted GxP custom software

cube one combines agile software development with automated GxP validation processes. AI takes over repetitive and documentation-intensive tasks, while our validation experts retain regulatory responsibility and quality assurance.

GAMP 5
Category 5: complete validation package including traceability
Annex 11
audit trail, user management and e-signature under 21 CFR Part 11
21 CFR
Part 11 compliant: audit trail & e-signature

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Entwicklungs-Wegweiser

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Wählen Sie die Ausgangslage für GxP-Softwareentwicklung oder Migration.

Individualsoftware mit SDLC

Anforderungen, Entwicklung und CSV in einem Team – von URS bis Validierungsbericht.

In many pharma and life science companies, critical GxP processes are still managed in Excel: deviation management, change control, calibration tracking, batch documentation. The reasoning is understandable: Excel is inexpensive, flexible and immediately available. The drawbacks are accepted as a trade-off.

Our approach in GxP projects: from planning through release – each step delivers evidence you can present in QA review and audit. View GxP consulting in five steps

The Problem: Excel as a GxP Workaround

In many pharma and life science companies, critical GxP processes are still managed in Excel: deviation management, change control, calibration tracking, batch documentation. The reasoning is understandable: Excel is inexpensive, flexible and immediately available. The drawbacks are accepted as a trade-off.

The Problem with Excel
  • Manual data entry creates data integrity risks
  • No automatic audit trail functionality
  • Version control is error-prone
  • Scaling with growing processes is barely feasible
  • High manual validation effort
  • Interfaces to other systems are missing
Why Custom Software?
  • Precise process support without workarounds
  • Automatic audit trail and electronic signatures
  • Integrated roles and authorisation concept
  • Interfaces to ERP, LIMS, QMS
  • Scalable to your requirements
  • Maintainable and extensible

Why GxP Custom Software Has Been So Costly Until Now

The decisive cost driver in GxP custom software is not the development itself: it is validation. Every function must be specified, tested and documented. In classic CSV projects following the V-model, a substantial share of costs is attributed to validation documentation: URS, FS, DS, test protocols, validation reports.

What changes: AI assistance in test case creation and documentation reduces creation effort considerably. Review and release stay with your personnel, and the depth of evidence required by GAMP 5 remains unchanged.

What AI Concretely Handles

Automated Test Generation
AI analyses requirements and automatically generates test cases for IQ, OQ and PQ: complete and fully traceable.
Document Automation
Validation plans, test protocols and validation reports are AI-generated from code and requirements.
Traceability Matrix
Automatic traceability from requirements through test cases to test results: seamless and audit-ready.
Continuous Validation
For software updates, AI automatically assesses regression test scope and adjusts validation documents accordingly.

Our Development Process

1
Requirements Workshop & URS
Joint capture of all GxP requirements, interfaces and compliance specifications. AI supports structured documentation of the User Requirements Specification.
2
System Design & Risk Analysis
Technical architecture in compliance with FDA 21 CFR Part 11, EU-GMP Annex 11 and GAMP 5. Risk classification under CSA methodology determines validation scope.
3
Agile Development with Embedded Validation
Every sprint delivers validation-ready increments. Automated test generation and documentation run in parallel with development, no separate CSV project required.
4
Validation & System Release
Final IQ/OQ/PQ execution, QA review, creation of the validation report and formal system release for GxP operation.
5
Operations & Change Control
Ongoing maintenance, periodic reviews and efficient change control management with AI-assisted impact assessment for software updates.

Which Processes Benefit from GxP Custom Software?

  • Deviation and CAPA management
  • Change control workflows with electronic approvals
  • Calibration and maintenance management for GxP equipment
  • Batch record creation and release
  • Training and qualification evidence management
  • Environmental monitoring evaluation and trending
  • Supplier qualification and assessment
  • GxP document management with version control

FAQ: AI-Powered GxP Custom Software

Is AI-generated validation documentation regulatorily accepted?
Yes, provided the responsible person reviews and releases the documents and the quality of AI-generated content is assured. Neither the FDA nor the EMA prescribe specific methods for creating validation documentation: what matters is the substantive proof of system quality. AI is a tool; responsibility remains with the validated system and the qualification personnel.
What does GxP custom software with AI-driven validation cost?
Costs depend on functional scope, system complexity and the number of interfaces. AI-assisted validation mainly reduces the documentation share; we state the saving per project in the proposal rather than quoting a blanket percentage. After an initial scoping workshop, cube one provides a binding project estimate with fixed-price options.
Which regulatory standards are met?
All GxP applications developed by cube one comply with FDA 21 CFR Part 11 (electronic records and signatures), EU-GMP Annex 11 (computerised systems), GAMP 5 (2nd edition) and are validated according to CSA principles (FDA Guidance 2022). ISO 9001 and ISO 27001 compatibility available on request.
Can existing Excel-based processes be migrated?
Yes. cube one offers structured data migration projects where existing Excel data is transferred to the new GxP application. The migration itself is a validated process carried out using our STREAM data migration platform or project-specific ETL scripts.
How long does a typical GxP software project take?
An MVP (Minimum Viable Product) with core functions and full validation is achievable within 3 to 6 months. Complex systems with numerous interfaces and extensive functionality require 6 to 12 months. Agile development enables early use of initial functions while the overall system continues to be built.

From Excel Spreadsheet to Audit-Ready GxP Application

Discover how AI-driven development and validation make custom software in GxP environments economically viable for your organisation.

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