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Empowers HR teams to deliver fast, accurate, and personalized employee support through conversational AI, automated knowledge management, and seamless HR system integration.
Procurement Contract Intelligence
Transforms unstructured procurement contracts into searchable, comparable, and editable documents through AI-powered search, generation, and conversation.
#ContractAnalysis #RegulatoryCompliance #RiskMitigation #SupplierGovernance
Business Challenge
Procurement teams frequently face the challenge of managing large volumes of contracts and signed documents, which vary significantly in format and length. This complexity is further compounded by the need to handle contracts impacted by regulations such as DORA, which require meticulous analysis of both strict regulatory requirements. The diversity in contract formats, combined with the need to conduct mass analysis across extensive documentation under tight deadlines, creates inefficiencies and increases the risk of errors. These challenges emphasize the critical need for an AI-driven solution that can streamline contract analysis, reduce manual effort, and support timely compliance with legal and regulatory requirements.
Solution Overview
Our Procurement Contract Intelligence solution uses Generative AI and Natural Language Processing to transform how procurement teams interact with contract data—enabling intelligent search, comparison, and generation of clauses through conversational interfaces and semantic analysis.
The solution's main features include:
Search and Comprehension
The solution allows users to search and retrieve documents using metadata and data fields, as well as query documents in natural language. It also supports Q&A capabilities, where users can ask complex questions like, “What clauses in this contract cover inflation adjustments?” or “How are trade tariffs managed in my contracts?” to quickly retrieve relevant answers without manually reviewing the entire contract.Contract Comparison
The solution classifies clauses and sections based on semantic content, enabling users to quickly access critical information. It also allows for direct comparison of clauses across different contracts (i.e. older version in case of renewals) and templates (when establishing relationship with new suppliers), ensuring consistency and compliance with established standards.Clause and Section Generation
The platform can generate contract summaries or specific sections on request, based on user-defined parameters. It supports the creation of new contract sections or clauses, optimizing the contract drafting process by suggesting improvements or performing gap analysis based on predefined standards.Conversational Access
By using LLMs, the solution allows users to interact with contract data in a conversational manner, streamlining the retrieval of information and reducing the time spent searching for specific clauses or sections.
Technical Implementation
This Generative AI solution was built with:
RAG-based architecture
The solution leverages a Retrieval-Augmented Generation (RAG) approach, enabling the use of generative AI (LLMs) constrained to the specific set of documents provided as input. This ensures focused, reliable outputs tailored to the relevant contract data.Hybrid semantic search with access control
The solution supports hybrid semantic search, enabling multiple business units or country-level legal entities to query the contract base using domain-specific language, particularly legal and contract-related jargon. It accurately interprets clauses and articles while enforcing strict visibility rules to ensure that only authorized users can access relevant contract information, preserving data privacy and compliance.Data ingestion from procurement systems
Contracts are automatically imported through direct integration with enterprise procurement systems. This ensures up-to-date data with minimal manual intervention.Modular architecture with a shared core library
The solution is built around a common core library that supports modular development. This design allows for the easy addition of new features, seamless adaptation to client-specific needs, and flexible integration of different LLMs—all without impacting the user experience.
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