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Icertis: How an AI Agent Helped a Pharmaceutical Giant Save $70M and Free Up Resources for Growth

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ASCN Team
30 July 2026
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Contracts, agreements, and deals are not just folders of documents; they are a living organism upon which a company's financial health depends. Millions of dollars are lost each year due to missed opportunities, non-compliance, and ineffective negotiations. Icertis, a leader in AI-powered contract intelligence, demonstrated how a Fortune 500 pharmaceutical giant saved $70 million annually by using an AI agent to manage 250,000 supplier contracts in 17 languages. This was made possible because the AI agent transforms static documents into strategic assets.

In large corporations, contracts are usually dead weight: they sit in archives, no one rereads them until a problem arises. But within each contract are hidden commercial terms, discounts, and obligations that either generate or cost money. Manually tracking this across thousands of documents is impossible, meaning the company loses money every day. Today, this invisible leakage can be stopped.

The Business Pain: Why Contracts Aren't Just for Lawyers

For most companies, contracts are a legal headache, not a tool for profit. Thousands of agreements with suppliers, customers, and partners contain a vast amount of commercial information that remains "locked" within text documents. This leads to missed opportunities for volume discounts, unused rebate clauses, undetected price discrepancies between different suppliers, as well as hidden risks and non-compliance.

Managing this data manually is a Herculean task, requiring enormous time and human resources. Even the most diligent specialists cannot track all the nuances and interdependencies, especially when dealing with hundreds of thousands of contracts in various languages. This results in direct financial losses, reduced profitability, and increased legal risks.

Why Standard Automation Is Not Enough

Many companies already use Contract Lifecycle Management (CLM) systems, but their functionality is often limited to storage and basic search. These systems are ineffective when it comes to in-depth analysis of terms, identifying hidden opportunities, or predicting risks. They cannot "read" and "understand" the text of a contract, extract key data, and compare it. What was needed was a tool that not only stores information but actively works with it, transforming it into a strategic resource.

This is why companies turned to AI agents. They are capable of not only automating routine tasks but also independently analyzing contracts, identifying patterns, suggesting optimal terms, and even participating in negotiations.

How the AI Agent for Contract Management Was Designed

The AI agent was developed as an intelligent assistant capable of working with contracts throughout their entire lifecycle. The key idea was to transform static documents into dynamic assets. The agent was required to:

  • Analyze thousands of contracts. The agent had to extract key terms, prices, obligations, deadlines, and other important parameters from contracts, regardless of their format and language.
  • Identify commercial opportunities. Based on analysis, the agent had to find opportunities for savings: hidden discounts, rebate terms, price discrepancies between suppliers, and opportunities for procurement consolidation.
  • Assess risks. The agent had to identify potential risks associated with non-compliance, legal liabilities, or financial instability of suppliers.
  • Support the negotiation process. Provide real-time data to negotiators, helping them make informed decisions and achieve more favorable terms.
  • Ensure compliance. Automatically track the fulfillment of contractual obligations and warn of potential breaches.

The agent was integrated into the company's existing infrastructure so that employees could use it without having to learn new, complex systems.

Implementation: From Pilot to Large-Scale Savings

The implementation of the AI agent began with pilot projects focused on the most critical and high-volume areas, such as supplier contract management. A striking example was its deployment at a European telecom leader who, following a merger, faced the challenge of rationalizing hundreds of thousands of contracts. The AI agent helped identify duplicate agreements and consolidate purchasing power.

After a successful pilot, which confirmed tangible results, the AI agent was scaled to other departments and contract types. A key success factor was gradual integration and training of employees, who quickly realized the value of the new tool. The agent took over routine tasks, freeing up specialists' time for more strategic work requiring human judgment.

Results

Company Result Description
European Telecom Leader $35M in savings Identified post-merger through supplier contract rationalization efforts, including canceling redundant agreements and consolidating purchasing power.
Global Pharmaceutical Company (Fortune 500) $70M in annual savings Achieved by enforcing commercial terms across more than 250,000 supplier contracts in 17 languages.

These figures clearly demonstrate that an AI agent in contract management is not just a technological novelty, but a powerful tool for achieving real financial returns. Savings of tens of millions of dollars are a direct result of contracts no longer being "dead weight" and actively working for the business.

How to Implement This in Your Company: The Path to Intelligent Contracts

If your company has a large volume of contracts that are managed manually or inefficiently, an AI agent can be your breakthrough solution. Here's where to start:

  • Assess volume and complexity. Determine how many contracts you have, in how many languages they are written, and how complex their terms are. This will help you understand the scope of the task.
  • Identify "pain points." Pinpoint exactly where the company is losing money due to inefficient contract management: missed discounts, overdue payments, non-compliance.
  • Start with a pilot. Choose one area with the greatest potential for savings and implement the AI agent there. This will allow for quick initial results and demonstrate the value of the solution.
  • Integrate AI into existing processes. The more seamlessly the AI agent integrates into employees' daily work, the faster it will start to deliver benefits.
  • Train and engage the team. Explain to employees how the AI agent will make their work easier, not replace it. This will help overcome resistance and accelerate adoption.

If this case sounds like what's happening in your company, our manager can help: he'll analyze your business and niche for free and point out where an AI agent would bring a real result in your case. Message the manager

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Icertis: How an AI Agent Helped a Pharmaceutical Giant Save $70M and Free Up Resources for Growth
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