AI adoption is no longer a differentiator—it’s the default. Nearly 90% of organizations now use AI in at least one business function, yet only 39% report measurable enterprise-level financial impact from those investments. Even more striking, just 6% of organizations qualify as high performers generating more than 5% EBIT impact from AI.
The gap between AI adoption and AI value is becoming one of the biggest strategic challenges facing technology leaders today. As organizations race to embed AI into software, workflows, and operations, many are discovering that deploying AI features is far easier than proving meaningful business outcomes.
This raises a critical question for both software vendors and enterprise buyers:
Are AI investments actually driving operational efficiency, or simply adding to the growing complexity of modern technology environments?
What AI additions are driving actual business value?
Research consistently shows that AI delivers the strongest returns when it is embedded into core workflows, focused on high frequency, operational problems, and paired with clean, contextualized data.
Introducing Flexera’s AI Contract Ingestion
Much like Flexera’s first foray into AI assistance with AI purchase data and entitlement ingestion, AI contract ingestion is focused on automating the cumbersome error-prone process of data entry into your ITAM solution.
By leveraging natural language processing (NLP) and machine learning (ML) Flexera ITAM customers will no longer have to interpret complex legal documents and manually enter in key contract attributes. Contract AI ingestion parses and coverts contracts into structured data fields, significantly reducing manual effort while at the same time improving the accuracy of the entries.
Why uploading contracts is important
Audit risk
Contracts define purchase quantities, metrics, use rights, and restrictions. Uploading them allows Flexera One ITAM and SAM on Snow Atlas to calculate effective license positions (ELPs) correctly, turning raw inventory into defensible compliance data.
When vendors audit, they don’t care what you discovered, they care what your contracts say. Having contracts stored, normalized, and linked to entitlements gives you documented proof to challenge claims and avoid unnecessary penalties. Without having centralized management of your vendor contracts, you may miss key expiry dates of software agreements which could easily result in large fees due to non-compliance.
Software optimization
Contracts reveal what’s already owned, including bundled licenses, downgrade rights, secondary use rights, or entitlements tied to maintenance. This prevents buying licenses you already have and exposes unused or underused software.
With contracts uploaded, Flexera One ITAM and SAM on Snow Atlas can track renewal dates, true‑up clauses, escalation terms, and maintenance obligations, helping teams avoid surprise renewals and negotiate from a position of strength.
How’s it work?
Customers utilizing Flexera One ITAM or SAM on Snow Atlas will now be able to create a contract using AI ingestion. The AI contract ingestion function automatically processes and ingests the original contract documents and stores them within the platform automatically pulling out important key contract details such as the contract number, description, start date, expiry date, and renewal date, payment amount, payment schedule, and even terms and conditions.
For more information on uploading contracts please consult our official documentation.
Why is this so valuable?
So why does Flexera’s AI contract ingestion feature matter? Well, imagine you have stacks of software contracts: PDFs, scans, and amendments each filled with complex legal language, product names, use rights, metrics, entitlements, and dates. Manually reviewing these contracts and extracting the relevant entitlement data can take hours per document and require specialized expertise. The process is not only time-consuming, but also highly susceptible to human error. Now imagine doing this across hundreds of contracts, reviewing and interpreting all that contract data would require an entire team and still leave room for gaps, delays, and inaccuracies.
The alternative? Leaving contracts unanalyzed which results in incomplete entitlements, audit risk, and missed optimization opportunities.
Eliminate the manual, error-prone contract review process with Flexera’s AI contract ingestion feature included in Flexera One ITAM and SAM on Snow Atlas. Automatically ingest and analyze contracts at scale, extract key entitlement and use rights data, and transform complex legal documents into structured, actionable records that improve accuracy across your ITAM environment.
Still not convinced?
Schedule a demo today to see how much time you can save with AI contract and entitlement ingestion.
