How T/ICV and AI Bring Efficiency to Life Sciences

The industry of Life Sciences is undergoing a major transformation, driven by remarkable advancements in technology. Artificial Intelligence is revolutionizing capabilities, providing unparalleled improvements in efficiency. However, within this transformative wave, one of the most vital operational domains seems to be forgotten: quality assurance.

“The integration of technologies like gen AI and the increased use of data are expected to boost operational efficiencies and drive breakthrough innovations. As companies adapt to this evolving landscape, their ability to implement new initiatives will be crucial for differentiation and market expansion.”
 

Deloitte Center for Health Solutions. (2024, December 10). 2025 Life Sciences Outlook. Deloitte Insights.
 

Life Sciences can't be left behind by AI

In Life Sciences, where each molecule and process can have a significant impact on people's lives, accuracy and efficiency are essential principles. From the discovery of new drugs to patient delivery, the integrity of each phase is crucial.

This dedication to precision is ingrained in the industry's essence, influencing all its aspects. In such a rigorous domain, even minor mistakes can have significant repercussions on patient safety, market entry, and a company's reputation.

Yet even as AI reshapes the Life Sciences landscape, quality assurance (one of its most essential pillars) continues to lag behind in adoption.

 

Manual verification of inbound certificates may be slowing down your innovation

While almost all aspects of the Life Sciences industry are speeding toward an AI-driven future, some essential processes still rely on outdated, manual processes. Among these, verifying crucial documents such as Certificates of Analysis (CoA), Certificates of Conformity (CoC), and Certificates of Sterilization (CoS), which Life Sciences companies receive from their suppliers and contract manufacturers in large quantities, stands out as a notable challenge.

These certificates form the foundation of compliance, guaranteeing that raw materials, intermediates, and finished products adhere to rigorous quality standards. Every element and every phase in the supply chain produces a series of essential documents, all requiring careful examination. 

The existing dependence on manual methods for checking and validating the certificates represents a frequent burden. Quality assurance teams invest numerous hours in tasks that are very repetitive and susceptible to human mistakes. 

Here is an example of this long process: 

Each month, this process repeats hundreds or even thousands of times, meaning that inefficiencies rapidly escalate into a significant productivity loss. This document-intensive method is not merely an operational hassle; it can lead to major delays at key points in the supply chain. Small human errors may result in expensive non-conformances, delays in product release, and increased scrutiny during regulatory audits.

The tangible cost of these inefficiencies is considerable, but the abstract costs (such as lost market opportunities) are significantly more impactful. In an industry where timely product release is essential to leading innovation, such delays are no longer sustainable.


The untapped potential of AI in Quality operations

AI is currently transforming multiple aspects of Life Sciences. We have observed its groundbreaking capability in speeding up drug discovery via predictive modeling, enhancing clinical trials with real-time data analysis, and transforming commercial forecasting. 

However, as noted in Tenthpin’s 2024 report regarding AI in Life Sciences, there is still a substantial opportunity to investigate the complete capabilities of intelligent automation in the industry. Although AI has made significant progress in certain fields, Life Sciences firms are overall less effective at utilizing digital innovations when compared to other sectors. This means that, despite the potential, the industry has not yet completely harnessed the benefits AI provides throughout its operations.

This paradox is especially pronounced in quality operations, particularly those that include document-intensive compliance procedures such as the verification of certificates of analysis. Although R&D teams leverage AI for innovative breakthroughs and commercial sectors gain from sophisticated predictive analytics, quality teams frequently become stuck in outdated processes that limit their speed.

The question arises: what if compliance processes could keep pace with the speed of innovation occurring in other parts of the enterprise?

Automating quality functions goes beyond just obtaining slight speed improvements. It's about enabling these Quality Operations to function with the same agility and strategic insight as R&D and Sales Departments. By smartly automating repetitive, data-heavy tasks, Life Sciences organizations can liberate their most important resource: human expertise. 

With automation, experienced quality professionals can shift their attention from monotonous data entry and comparison tasks to more valuable activities. This freeing up of resources is crucial for developing a resilient and progressive quality framework.

Moving ahead requires a tactical reassessment of compliance procedures. Instead of perceiving quality checks as an essential yet burdensome task, organizations should regard them as chances for strategic benefit. The notion of "smarter quality" is gaining traction, fueled by the realization that intelligent automation can turn compliance into a proactive search for efficiency and innovation. 

This change in approach goes further than just basic digitization. It involves utilizing technologies to comprehend, analyze, and verify intricate information at a scale and pace that cannot be attained through manual processes. 

When quality processes are flexible, precise, and clear, they turn into a competitive advantage by:

  • Reduce inventory costs
  • Minimizing non-conformities
  • Enhancing audit preparedness
     

This is exactly where creative solutions, designed specifically for the distinct challenges of the Life Sciences industry, are vital for market success.
 

T/ICV: AI for certificate verification

Tenthpin Intelligent Certificate VerificAItion was developed in partnership with top global pharmaceutical, biotech, and medical technology firms.
It’s an AI-driven solution designed to streamline the intricate and lengthy process of extracting, validating, and approving certificates like CoAs, CoCs, and CoSs. 

In contrast to standard OCR or template-driven solutions, T/ICV utilizes sophisticated Large Language Models (LLMs) to deal with the distinct terminology, formats, and regulatory standards found in GxP documentation.

T/ICV is a unique solution in the market because it can: 

  • Comprehend unstructured or scanned documents in various types of layouts and formats
  • Compare extracted values with internal standards, guaranteeing exact compliance with established quality criteria
  • Identify anomalies for human QA examination
  • Record every action for complete audit traceability
     

All of this can be accomplished in just minutes per certificate, significantly speeding up a process that previously required hours.

 

Turning compliance into a strategic benefit 

More than a time-saving tool, T/ICV reflects a strategic transformation in the way Life Sciences companies handle quality at scale. 

By effortlessly connecting with current enterprise systems such as SAP and diverse Quality Management Systems (QMS), while strictly following GxP regulations, T/ICV enables organizations to:

  • Decrease analysis certificates verification duration by more than 90%
  • Reduce non-conformities
  • Enhance audit preparedness
     

When integrated into Tenthpin Intelligent Quality Suite, T/ICV serves as a fundamental element in creating a completely digitized quality function. Quality becomes flexible, naturally compliant, and prepared to handle the intricacies of the future Life Sciences environment. 
 

Want to make your approval processes fast, efficient and error-free?

The constant demand to expedite time-to-market, enhance regulatory transparency, and increasingly complex global supply chains prevent Life Sciences companies from continuing to rely on outdated methods of certificate verification. 

The future of quality in Life Sciences is digital, automated, and strategically cohesive. T/ICV represents that future,  where quality assurance and AI merge together for the benefit of everyone across the value chain.

written by

William Sale

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