The Hidden Costs of Manual Validation in Life Sciences

Part 1 of the "Transforming Validation in Life Sciences" Series

April 22, 2025

The Moment Every Validation Professional Prepares For

“Can you show me the traceability for that requirement across all your systems?”

Has an auditor ever asked you this seemingly straightforward question, only to trigger an immediate sinking feeling in your stomach? You know the validation was performed. You know the documentation exists. But in that moment, can you confidently navigate to exactly what’s needed without hours of searching through binders, network drives, and SharePoint sites?

If you’ve ever felt that momentary panic, you’re not alone. During 20+ years in life sciences technology validation, I’ve been on both sides of this scenario — defending documentation during audits and performing gap analyses and internal audits where I’ve asked these very questions. The validation burden continues to grow as companies implement more systems and face increasing regulatory scrutiny.

What was once manageable with spreadsheets and static repositories has become complex, time-consuming, and increasingly risky. At Driftpin, we’ve evaluated many tools over the years—some offered pieces of the puzzle: document control, e-signatures, risk tracking. But none brought it all together in a way that truly supported modern, right-sized, risk-based validation.

Recently, we found a platform that ties those elements together into a cohesive, purpose-built solution. It includes a savvy, compliance-aware AI engine—and it is not-so-quietly changing how validation works.

Why Driftpin Partnered with Valkit.ai

Have you ever spent a weekend rebuilding a traceability matrix before an inspection? Or found yourself buried in binders and screenshots, manually tracing requirements to test cases with sticky notes and highlighters?

I’ve been there—on both sides of the table. As part of the team being audited, as a consultant preparing clients, and as an auditor identifying gaps. Over the years, I’ve tested tools that claimed to help: document repositories, e-signature platforms, even traceability plugins. Some worked for one piece of the puzzle—but none supported the way we work as validation professionals.

My approach to validation challenges is rooted in systems thinking—seeing patterns and relationships that connect seemingly disparate processes. This perspective helps identify solutions that specialists focused solely on compliance documentation may overlook.

Driftpin partnered with Valkit.ai because it works the way we do: pragmatic, risk-based, and grounded in how real validation happens under pressure.

Valkit ties together documentation, test management, traceability, approvals, risk management, IQ/OQ/PQ execution, evidence collection, and summary documentation—without forcing teams into rigid workflows. Its compliance-aware AI speeds up the mechanics so we can stay focused on critical thinking, not copy-pasting.

The old methods aren’t failing because people lack diligence—they’re failing because disconnected processes can’t keep up with today’s complexity, compressed release cycles, and rising client expectations.

Today’s Expanding Validation Landscape

Have you recently heard this question in your organization? “Wait, we’re adding another system to the validation schedule this quarter?”

If so, you’ve likely also witnessed the looks of despair from validation teams that typically follow. This scenario plays out with increasing frequency as modern life sciences organizations implement more technology across their operations:

• Electronic document management systems
• Laboratory information management systems
• Manufacturing execution systems
• Quality management systems
• Clinical trial platforms
• Remote monitoring tools
• Data analytics solutions

Each system requires validation, and each validation requires documentation, testing, and maintenance. The sheer volume has likely pushed your quality and compliance teams to make difficult tradeoffs between compliance rigor and operational efficiency.

Validation teams are stretched thin. I’ve heard it again and again: “We just don’t have the resources to validate everything as thoroughly as we want to.”

Valkit.ai addresses this complexity by centralizing validation management across multiple systems. This isn’t just about convenience – it’s about creating a consistent, defensible approach regardless of the technology being validated. By establishing a single source of truth for validation activities, organizations can leverage risk management, eliminate redundancies, and focus resources where they matter most.

Three Critical Challenges That Demand a New Approach

1. Documentation Inconsistency

Has this ever happened in your organization? An auditor requests documentation from systems validated in different years, only to receive materials in completely different formats with varying levels of detail and different approaches to traceability?

Without standardized templates and automated traceability, errors and gaps inevitably appear, especially during system updates. Even with the most diligent team members, manual processes introduce variability that compromises validation integrity.

Real-world impact: When performing mock inspections, I’ve seen mid-sized biotech companies struggle to demonstrate consistent validation practices across their systems. The documentation existed, but inconsistent formats, varying levels of detail, and scattered storage locations made it nearly impossible to present a coherent validation story. In actual regulatory inspections, this typically results in significant remediation work and delayed product approvals.

How Valkit.ai solves this: The platform provides standardized, regulatory-aligned templates and workflows that ensure documentation is complete, consistent, and connected. Version control happens automatically, and all stakeholders work from the same foundation. This isn’t just efficiency – it’s fundamentally addressing a core compliance vulnerability.

2. Resource Misallocation

Have you ever observed a validation lead—someone with advanced degrees and decades of industry experience—spending days manually updating a traceability matrix after a minor system update?

When conducting organizational assessments, I frequently find validation specialists routinely spending excessive time on administrative tasks rather than value-added analysis. Creating test scripts, updating traceability matrices, and managing document reviews consume hours that should be invested in critical thinking and risk assessment.

The opportunity cost: When validation becomes an administrative burden, organizations miss opportunities to leverage their experts’ knowledge for strategic improvements. One validation manager told me during a gap analysis, “I was hired for my GxP expertise, but I spend most of my time chasing signatures and updating spreadsheets.”

How Valkit.ai solves this: By automating administrative tasks – generating documentation, tracking approvals, and maintaining traceability matrices – Valkit.ai frees validation experts to focus on meaningful risk assessment and compliance activities. The system handles the mechanics so humans can apply their judgment where it matters most.

3. Audit Vulnerability

Has an auditor ever asked you a simple question like “Where are the screen captures from the January testing?” only to trigger a frantic search through your document management system?

When conducting mock audits, I regularly simulate these scenarios. The validation specialist typically knows the evidence exists—they personally reviewed it—but in the reorganization of the document management system, folders of test evidence are frequently moved or misfiled. What follows is a frantic search while the inspection team waits, making notes and raising concerns about document control.

The compliance risk: During a recent gap analysis, I worked with a pharmaceutical company that received an audit finding, not due to poor validation, but because they couldn’t easily demonstrate it during the inspection. Their documentation was scattered across multiple repositories, creating the appearance of weak validation governance.

How Valkit.ai solves this: By maintaining all validation assets and artifacts in a structured, secure, and easily navigable environment with powerful search capabilities, Valkit.ai ensures teams can quickly retrieve complete validation evidence during an inspection. They can demonstrate traceability and show the full history of validation activities within minutes rather than hours or days – a critical capability when inspectors are on-site.

Getting the Fundamentals Right: Traceability Without Compromise

Have you ever had that moment of doubt during an inspection, wondering if your traceability matrix was truly accurate and complete?

One of the most compelling benefits of Valkit.ai is its ability to eliminate human error in the “block and tackle” components of validation. Traceability matrices – perhaps the most fundamental validation deliverable – are often where manual approaches create the greatest vulnerability.

Valkit.ai ensures:

• Traceability Without Gaps: The system automatically creates and maintains trace matrices, ensuring every requirement is linked to appropriate test cases and results
• Completeness Verification: Automated checks confirm all requirements are tested and all test cases are executed
• Consistency Enforcement: Standardized approaches ensure consistent documentation across systems and projects
• Change Impact Analysis: Immediate visibility into how requirement changes affect testing needs

These aren’t just efficiency improvements—they’re quality enhancements that directly address common compliance vulnerabilities. When inspectors review validation documentation, these foundational elements often receive the most scrutiny. Digital approaches significantly reduce the risk of missing connections or inconsistencies that can trigger regulatory concerns.

Looking Ahead: From Reactive to Proactive Validation

The challenges outlined in this article represent only the beginning of the validation transformation story. In many ways, they focus on solving the most immediate pain points – the reactive aspects of validation management that consume so much time and create so much risk.

But what about the scenarios that truly test validation processes to their limits? In our next article, we’ll explore one of the most challenging, yet common validation scenarios for GxP software developers: managing late-breaking changes and hot fixes during the validation cycle. We’ll examine how traditional approaches often falter under the pressure of selective retesting and documentation updates – and how digital approaches transform these high-pressure situations.

You’ll discover:

• How to maintain validation integrity when requirements change late in the process
• Why selective retesting becomes a documentation nightmare with manual approaches
• How digital validation enables confident change management without starting over
• A real-world case study showing the transformation in action

When done right, validation isn’t just about passing inspections—it’s about creating operational excellence that drives measurable business outcomes: faster release cycles, reduced remediation costs, and accelerated innovation.

Take the Next Step

If the challenges described in this article resonate with your experience, don’t wait to explore solutions. The cost of maintaining manual validation approaches grows with each new system and each regulatory inspection.

Request a Consultation: Schedule a no-obligation discussion with Driftpin where we’ll analyze your specific validation challenges and demonstrate how Valkit.ai addresses them. Email me directly at kfshea@driftpin.com or book a time on my calendar here.

See Valkit.ai in Action: We can arrange a personalized demonstration of Valkit that allows you to see how it can solve your validation challenges.

Start Small: We are all about right-sizing the solution and being clear on the problem before wading into the deep end. We’ll begin with a focused pilot or proof of concept project to evaluate the benefits without disrupting your entire validation program. We’ll guide you through the process of selecting an appropriate starting point.

The transformation to digital validation doesn’t have to be overwhelming. With the right guidance and tools, you can address your most pressing validation challenges while building a foundation for long-term compliance excellence.

Kevin Shea is the founder of Driftpin LLC, a life sciences consulting firm specializing in technology implementation and validation for regulated environments. He partners with Valkit.ai to help organizations transform their validation approaches through digital tools and expert guidance.

This article is part of Driftpin’s “Transforming Validation” series—follow along for the next installment on managing change and selective retesting without starting over.