Icertis Helped Fortune 500 Save $70M Annually: How an AI Agent Revolutionized Contract Management

In a world where every percentage point of savings counts, Icertis, a leader in AI-powered contract intelligence, has provided compelling evidence of how artificial intelligence can revolutionize contract management. One European telecommunications company identified $35M in savings after a merger, while a global pharmaceutical giant from the Fortune 500 list saves $70M annually by managing over 250,000 contracts in 17 languages with an AI agent.

Contract management is not just a legal formality; it's a source of hidden revenue and uncontrolled risks. Thousands of agreements with suppliers and customers contain invaluable commercial information that lies dormant until extracted. Manually, this is impossible, but every missed clause means a lost discount, unnecessary expenses, non-compliance with obligations, and direct losses. Today, this information can be transformed into a strategic asset with AI.

The Pain of Contract Management: Why the Numbers Didn't Add Up

In large companies, especially after mergers or with extensive supplier networks, contract management turns into a nightmare. Thousands, sometimes hundreds of thousands of agreements, concluded at different times, on different terms, and in various languages, contain a vast amount of data. This data is critical to a company's financial health: it defines discount terms, penalties, delivery times, and party obligations.

The problem is that extracting, analyzing, and reconciling this information manually is virtually impossible. Contracts reside in disparate systems, some of which may not even be digitized. As a result, companies miss opportunities for volume discounts, fail to track unfulfilled supplier obligations, cannot promptly assess risks, and consequently lose millions of dollars.

From Routine to AI: Why Traditional Methods Fell Short

Traditional Contract Lifecycle Management (CLM) systems automated storage and basic document flow, but they couldn't "read" and "understand" the content of documents. To find a clause about volume discounts or termination conditions in thousands of contracts, a person had to manually sift through each document. This was slow, expensive, and prone to errors.

Companies needed a tool that not only stores contracts but transforms them into a living, analyzable asset. This led them to an AI agent capable of not only recognizing text but also extracting commercially important data, analyzing it, and suggesting concrete actions.

How the AI Agent for Contracts Was Designed

The AI agent was conceived as the "brain" for all commercial agreements. Its primary task was not just to digitize contracts but to make them "intelligent." The agent needed to be able to:

• Extract Key Data. Automatically identify and extract critical terms from contracts: prices, deadlines, volumes, discount conditions, penalties, and obligations.
• Analyze Discrepancies. Compare contract terms with different suppliers, identify inconsistencies in pricing, delivery, or service terms.
• Identify Risks. Assess potential risks associated with contract terms, including compliance, legal obligations, and financial risks.
• Uncover Savings Opportunities. Automatically find hidden opportunities such as unused volume discounts, rebates, or procurement consolidation.
• Support Negotiations. Provide negotiators with real-time data and analytics, helping them secure more favorable deals based on reliable intelligence.

A key principle was maintaining human control. The AI agent automates routine tasks and offers insights, but the final decision always rests with a human.

Implementation: From Pilot to Strategic Tool

The implementation of the AI agent began with pilot projects focusing on the most obvious pain points. For example, a European telecom operator, after a merger, faced the need to rationalize hundreds of suppliers and thousands of contracts. The agent was deployed to analyze these contracts, identify duplicate agreements, and consolidate purchasing power. This led to the identification of $35M in potential savings.

In the case of the pharmaceutical giant, the AI agent was implemented for centralized management of 250,000 contracts in 17 languages. This allowed for automated monitoring of commercial terms compliance, identification of deviations, and ensuring fulfillment of obligations, leading to $70M in annual savings. Gradually, as results were demonstrated, the AI agent became an integral part of strategic procurement and contract management.

Results: Millions of Dollars in Savings and Risk Reduction

Beyond direct financial savings, companies gained significant benefits: transparency in supplier relationships, the ability to forecast risks, make data-driven decisions rather than guesswork, and focus negotiators on strategic tasks instead of routine information retrieval.

How to Implement an AI Agent for Contract Management in Your Company

If your company manages a large volume of contracts, an AI agent can be a powerful tool for optimization and savings. Here's how to start:

• Identify Critical Points. Determine where money, time, or the greatest risks are lost in your contract management process (e.g., due to lack of centralized information access).
• Start with Data Extraction. The first step can be automating the extraction of key data from existing contracts. This will quickly demonstrate the value of AI.
• Use AI for Discrepancy Analysis. Comparing terms across key suppliers will help identify potential areas for renegotiation and securing better prices.
• Integrate AI into the Negotiation Process. Provide your negotiators with instant access to analytics so they can make more informed and favorable deals.
• Maintain Human Control. AI should augment, not replace, expert judgment. Automate routine tasks, but leave strategic decision-making to humans.

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