AICommon Sense AINLP

Tackling Contract Compliance Challenges in Pharma

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Jean-Jo Adjizian
Managing Partner - Common Sense AI

Challenge – 

A leading pharmaceutical company encountered significant challenges in managing and validating contracts with its extensive network of external partners. Each partnership involved complex legal agreements that needed thorough review to ensure compliance with strict regulatory guidance. Contracts failing to meet these standards risked becoming invalid, exposing the company to legal action and reputational damage.

The responsibility for handling and validating these contracts fell on the global Business Quality department, where the process was heavily reliant on manual review. This labor-intensive approach resulted in long verification times, creating bottlenecks and delaying critical business operations. The inefficiency of the process not only strained resources but also heightened the risk of errors. As the volume of contracts grew, the company urgently needed a streamlined and scalable solution to ensure compliance while minimizing delays and legal risks.

Solution

To speed up the reviewing time, Algorhythm Group developed a machine learning (ML) model, using natural language processing (NLP), to verify and check the content of a document.

Furthermore, our team developed a web application that helped users to monitor results and past contract review, to ensure further quality.

The solution was developed with another internal team to work alongside robot process automation  (RPA) for document retrieval.

Impact

All this has resulted in approximately 30% decrease in time for contract reviewing.

Thanks to our intelligent automation solution, the team members can now concentrate their time on other and more important tasks. The solution is partially automated which lets some flexibility to the users.

Intelligent automation to reduce manual and repetitive tasks.

Delen

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