Executive Summary
Through three consecutive validation projects, Bravura-AI helped a leading global biopharmaceutical manufacturer successfully migrate from DeltaV Operate to DeltaV Live without compromising compliance or production. Using its range of tools, Bravura-AI automated validation testing, documentation, and error detection—reducing manual workload by 90% and accelerating validation cycles tenfold.
The result: faster modernization, zero unplanned downtime, and the early detection of critical configuration errors that could have jeopardized multimillion-dollar batches. This collaboration set a new benchmark for intelligent, audit-ready validation in regulated manufacturing.
Key Results:
- Three successful projects delivered across multiple manufacturing sites
- 1% error detection rate across 5,500 configuration lines—catching issues traditional testing missed
- 90% reduction in manual validation preparation effort
- 10× faster validation cycle times through automated test generation
- Full GMP compliance and complete audit traceability maintained throughout migration
- Zero unplanned downtime during system transition
- Repeat engagement due to proven reliability and measurable cost avoidance
The Challenge: Modernizing Validation in Pharma Manufacturing
A leading global biopharmaceutical manufacturer faced a critical turning point when Emerson announced the phase-out of DeltaV Operate. The legacy system—rooted in the 1990s iFIX (Intellution FIX) design and dependent on VBA scripting—had served reliably for decades, but its architecture made validation, maintenance, and cybersecurity increasingly burdensome under strict GMP conditions.
To overcome these limitations, Emerson introduced DeltaV Live, a web-based environment built on HTML5 and TypeScript. More than a software update, it represented a philosophical shift toward modular, model-driven configuration—simplifying validation and strengthening integration with enterprise data systems.
However, migrating to DeltaV Live meant revalidating thousands of control modules, displays, and alarms without disrupting production. That’s where Bravura-AI came in.
From Manual Testing to Intelligent Validation
This was the client’s third engagement with Bravura-AI. Earlier projects had proven the concept behind our validation and data intelligence tools. The first effort used VBA-based Excel scripts to identify configuration errors across 5,500 lines—catching 55 critical issues that could have affected multimillion-dollar batches. Though manual, the outcome built lasting trust.
Each successive project advanced toward automation:
- Error Detection — Identifying mis-linked or missing class parameters.
- Error Elimination — Using automation to prevent recurring issues.
- Automated Test Generation — Producing hundreds of audit-ready validation steps with precise identifiers and references.
This evolution transformed validation from a time sink into a strategic enabler. By embedding object-level traceability, audits became faster, clearer, and virtually risk-free.
The Results
Bravura-AI’s automation cut validation workloads by over 90%, enabling engineers to focus on oversight rather than execution. When the DeltaV Live migration began, Bravura-AI handled end-to-end validation—automatically generating compliant IQ/OQ documentation, catching design discrepancies, and ensuring full traceability.
Each engagement grew faster and more precise. The first project saved the client from potential operational loss; later ones delivered speed, accuracy, and full confidence under regulatory scrutiny.
Lessons Learned
A related project revealed a vital insight: involving Bravura-AI early prevents downstream rework. When the team was engaged late—after IQ/OQ—critical design flaws emerged during PQ, forcing a rare production halt. Had Bravura-AI’s solution been applied from the start, those issues would have surfaced and been resolved months earlier.
“Our best result is the number of fires that never happened.
When we began the migration to DeltaV Live, our biggest fear wasn’t downtime—it was missing something small that could ripple into a major production issue later. Bravura-AI’s validation approach gave us the confidence that every change, every module, and every link was verified with precision. It’s not just about moving faster—it’s about preventing the problems that never make the headlines but can cost millions if they do.”
— Senior Automation Engineer, Global Biopharmaceutical Manufacturer
Toward Generative Validation
Today, Bravura-AI extends beyond rule-based automation into AI-assisted, conversational validation. Engineers can query unified data directly (“Show me all instances of module X123”) and receive instant, validated results. This generative approach is paving the way for autonomous validation testing—compressing weeks of manual work into minutes.
Conclusion
The true measure of success lies not in hours saved, but in failures prevented. By detecting errors early, Bravura-AI safeguarded both product quality and production uptime—proving that intelligent validation isn’t just efficient; it’s essential.
“Our best result is the number of fires that never happened.”