

In large organizations, managing vendor contracts can be complex and time-consuming. Contracts often span multiple years, with renewals, addenda, and modifications stored across separate data stores and enterprise systems such as SAP Ariba and Oracle Cloud. When renewal or termination discussions arise, operations teams must manually open dozens of PDF documents to locate terms, payment conditions, or rebate clauses, spending anywhere from one to four days per contract.
To address these inefficiencies, NetApp IT leveraged the Artificial Intelligence Data Engine (AIDE), a unified AI platform that enables secure, scalable retrieval-augmented generation (RAG) for structured and unstructured data. AIDE connects directly to data stored in ONTAP, Oracle databases, and SaaS platforms for real-time access, enabling seamless integration without duplicating infrastructure.
The Contract Intelligence solution was designed and deployed within weeks, built on AIDE. All contract data was consolidated into ONTAP, then indexed and vectorized through the AIDE engine. This created a comprehensive metadata model that links unstructured PDF documents to structured fields such as supplier name, contract number, business owner, payment terms, and renewal details.
Through this unified metadata and vector database, users can now query the system naturally. For example, by typing a question such as “What are the payment terms for Supplier X?”, the AIDE-powered assistant retrieves relevant clauses and details from across years of contract versions in seconds.
AIDE simplifies data governance by applying guardrails based on existing user permissions, ensuring that sensitive information—such as contract amounts or credit card details—is accessible only to authorized users. These controls are applied automatically at the file level, helping maintain compliance and privacy standards across datasets without requiring manual metadata management.
The operational impact has been significant. By automating contract discovery and validation, the contract review process was reduced from days to just a few hours. Beyond time savings, accuracy and consistency have improved dramatically, ensuring that business teams approach vendor negotiations with complete, verified data.
Crucially, this use case demonstrates how AIDE goes beyond the capabilities of a traditional Contract Management System (CMS). While a CMS can index and search known fields within a structured repository, AIDE unifies both structured and unstructured data across multiple systems, enabling semantic understanding and contextual retrieval of information. Users can ask natural-language questions and receive relevant, clause-level insights, something a conventional CMS cannot deliver without extensive manual tagging or customization.
While the initial focus was on procurement contracts, the same framework can be extended to other document-intensive business areas, such as legal agreements or managed service provider (MSP) contracts. Each department can define its own metadata model, while AIDE handles ingestion, embedding, and access control automatically.
This modular approach makes AIDE not just a single-use solution. Still, a repeatable model for enterprise-wide operational transformation that demonstrates how AI for Internal Operations (AI4IO) can streamline workflows, enhance accuracy, and deliver measurable business value, powered by NetApp’s Intelligent Data Infrastructure.
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Praveen Beedanagari, Technical Director, Enterprise Architecture, and Satish Krishnamoorthy, Senior Manager, Ops Data Solutions at NetApp. Together, they focus on leveraging enterprise architecture, operational data, and AI-driven insights to help modernize IT operations, optimize technology investments, and improve business decision-making across the organization.