Levelpath, an AI-native procurement platform, has updated its AI Agents to help enterprises reduce cycle times, identify risks earlier, and enhance team efficiency by integrating artificial intelligence throughout the procurement process. The enhancements are designed to transform procurement operations and make the process more strategic for businesses.
Patrick Reymann, Research Director for Procurement and Enterprise Applications at IDC, commented, “Levelpath is a truly AI-native procurement platform helping enterprises take advantage of agentic AI to transform how procurement operates. By combining clean data with intelligence, Levelpath enables teams to focus more on strategy and supplier value.”
At the core of Levelpath’s platform is the AI Assistant, a dedicated agent designed to streamline procurement from manual to efficient. Operating through a single, intuitive interface, the AI Assistant aims to convert procurement challenges into rapid results while maintaining compliance with IT policies, financial controls, and organizational standards. This allows teams to operate faster, scale more effectively, and increase overall capacity.
The AI Assistant’s functionalities cover several key areas: Intake, which instantly routes requests using natural language; RFx, which automatically generates sourcing events and questionnaires for competitive bids; Suppliers, which suggests potential suppliers based on partial descriptions; Contract Negotiation, which reveals savings opportunities and hidden risks in real-time; and Insights, which provides critical answers to spending questions in seconds without requiring manual reports or dashboards. These capabilities aim to reduce tasks that previously took days or hours to mere seconds, allowing for a greater focus on strategy and supplier relationships.
Levelpath provides three types of embedded AI Agents, functioning as digital specialists and governed by supplier and contract data. Information Agents are responsible for ensuring data quality through retrieval and enrichment. Task Agents deliver summaries, comparisons, validations, and document processing. Workflow Agents coordinate multi-step processes for complex analysis and approvals. These agents can operate independently or as part of multi-agent systems, adapting to existing workflows, integrating with enterprise systems, and learning organizational processes.
Examples of these agents include the Contract Discovery Agent, which allows users to query entire contract repositories for clause-specific answers, and the Contract Negotiation Agent, which prepares sourcing professionals for renewals by summarizing supplier contract history, performance data, and risk signals. Additionally, the QBR Agent streamlines quarterly business reviews by consolidating supplier performance, financial data, risks, and contract details into a structured agenda.
These capabilities are already yielding results for customers. Rick Spykerman, Purchasing Manager at PADNOS, a recycling and scrap management company, noted, “Whether it is finding fees in a contract, validating supplier terms, or routing approvals, the AI Agent saves us time and ensures consistency across every contract.”
For AI Agents to deliver reliable results, they must be powered by trusted data. Levelpath aims to serve as the supplier system of record, consolidating supplier, sourcing, and contract data into standardized profiles. The Levelpath Data Manager facilitates the elimination of duplicates, reduction of excess fields, and application of predictable schemas across procurement processes. This foundation ensures that AI Agents operate on accurate, complete, and enterprise-ready data, providing the visibility necessary for assessing supplier risk, enforcing compliance, and scaling automation.
Stan Garber, Co-founder and President of Levelpath, stated, “Our goal is to remove the painful, complicated tasks that have impacted procurement for years. AI Agents remove the burden of manual work. What once took days now takes seconds, and teams can focus on building stronger supplier relationships and making more strategic business decisions.”
IDC has published a Spotlight report, “The Value of AI-Native Procurement Platforms,” authored by Patrick Reymann, which explores how AI-native platforms like Levelpath contribute to efficiency, resilience, and strategic agility.
Levelpath, headquartered in San Francisco, is an AI-native procurement platform designed to help global enterprises optimize spend and operations. It utilizes its proprietary Hyperbridge reasoning engine to unify complex procurement processes with intelligent automation, no-code workflow orchestration, and an enhanced user experience. The platform provides real-time visibility, actionable insights, and faster execution, enabling procurement teams to drive measurable business value. Levelpath is backed by Benchmark, Redpoint Ventures, Menlo Ventures, NewView Capital, and World Innovation Lab, and its customers include Ace Hardware, Amgen, Coupang, Fortrea, GATX, SiriusXM, SSM Health, and Western Union.
