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Glossary

AI Agents

September 11, 2026
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Levelpath was built from the ground up as an AI-native sourcing and procurement solution. For Levelpath, AI-native is not a buzzword; it is a core design principle that infuses artificial intelligence into every stage of the procurement process.The AI-native approach led Levelpath to pioneer agentic workflows for procurement, delivering intelligent automation before AI agents were widely understood. While the industry is now adopting tools that validate our early vision, a critical distinction remains.In contrast to an AI-native approach, many vendors are using AI as a bolt-on feature on top of their core architecture. This superficial approach consistently fails to meet expectations for transformative AI capabilities because it provides AI at one point in a process but does not support it across all processes. In comparison, AI is the foundation at Levelpath, rather than an afterthought.

What are AI Agents?

Levelpath defines AI agents as intelligent helpers that perform a task for you. They begin with a trigger (such as clicking a button or typing a question), then use context (background information) along with instructions to generate an action or output, like a report, a document, or application calls. When a human initiates this behavior, it is generally referred to as a human-in-the-loop agent. When the same capability runs autonomously without human feedback, it is often described as an autonomous agent.At Levelpath, we embed agentic behavior into every layer of sourcing, contracts, and supplier management. Our AI-native platform provides different types of agents, each designed to accelerate sourcing, contracting, supplier management, and decision-making. To support clients, Levelpath provides several different forms of agents to support agentic behavior and workflows.

What are the key components of Levelpath AI Agents?

Key considerations of Levelpath AI Agents include security, transparency, governance, and control. Each agent operates within a secure AI-native architecture that validates and enriches data across sourcing, contracting, and supplier management. Levelpath provides full visibility into agent activity, ensuring every action is traceable and auditable.

AI Assistant

Levelpath’s AI Assistant is your constant companion across the platform. It guides users, orchestrates workflows, and powers specialized agents. By embedding into the work environment, it ensures data quality, contextual guidance, and seamless execution while providing users broad access to Levelpath’s task-based agents.

Task Agents

Levelpath task agents give every user expert-quality AI output in a single click. An administrator writes a prompt once, refines it, attaches supporting documents such as policies or playbooks, and publishes it as a task agent (named button.) From that point on, anyone on the team runs the same proven prompt without writing a word, so results stay consistent no matter who asks. Task agents appear exactly where the work happens: on the AI Front Door chat, on individual record pages such as contracts, invoices, and suppliers, and inside running workflows. A contracts manager can generate a supplier risk summary from a contract record in one click, with the company's own vendor risk policy applied automatically because it is attached to the agent. 

Research and Discovery Agents

For enterprise-scale analysis, these agents process large volumes of contracts and supplier records to uncover patterns, risks, and opportunities. For example, the Contract Discovery Agent can analyze thousands of contracts to identify clauses, tariff language, pricing adjustments, or incentives, delivering actionable insights at scale.

Workflow Agents

Levelpath’s workflow agents coordinate multi-step procurement processes by orchestrating task and information agents to complete complex work, such as request for proposal (RFP) analysis, contract lifecycle management, and supplier onboarding. Built in Ranger Studio, each workflow agent is configured with defined triggers, context, instructions, and outputs, enabling it to activate at the right point in a process and execute work without requiring a user to manage every individual step. Workflow Agents combine specialized capabilities to improve data quality, enrich records, and turn procurement information into useful outputs. They can retrieve and harmonize supplier, contract, and sourcing data; generate project summaries, executive briefs, and structured RFP inputs; extract and organize contract terms and metadata; and transform unstructured content into formatted reports or documents. For contract and sourcing workflows, these agents can support standards-based contract reviews, compliance validation, renewal tracking, supplier scoring and benchmarking, multi-bid analysis, total-cost-of-ownership comparisons, and negotiation guidance. Their modular, interoperable design allows individual agents to operate independently or work together as connected nodes, with each agent handling a specific part of a larger procurement workflow.

The Levelpath Difference

Levelpath’s AI-native architecture ensures every agent is deeply embedded, modular, and scalable. This guarantees procurement teams always have the right agent for the job whether executing a single task, coordinating workflows, or analyzing portfolios at scale. The Levelpath Agentic advantage delivers faster execution and greater enterprise impact across procurement processes.To learn more about Levelpath's Agentic capabilities can help your organization move faster, uncover risks earlier, and keep people focused on the more strategic work, request a demo today.

Frequently Asked Questions

What is an AI agent?

An AI agent is a smart helper that performs a task on your behalf. Unlike traditional automation, which follows rigid rules, or search engines, which only retrieve information, AI agents combine triggers, context, instructions, and outputs to generate results. For example, an agent can take a user’s question (trigger), apply contract and supplier data (context), follow defined logic (instructions), and deliver an output such as a supplier benchmark, risk flag, or formatted RFP draft.

How does Levelpath define an agent’s role in procurement workflows?

Levelpath defines an agent’s role as automating and guiding each stage of procurement, including sourcing, contracting, and supplier management. Agents use AI to route requests, enforce policies, and provide workflow insights, ensuring tasks are completed efficiently and accurately.

What is the difference between human-in-the-loop agents and autonomous agents?

Human-in-the-loop agents require a human to initiate tasks, such as making a verbal, text, or button-based request for a supplier summary or generating an RFP draft. Autonomous agents operate independently, continuously monitoring data, detecting risks, and updating records without direct human prompts. Human-in-the-loop agents provide on-demand support, while autonomous agents ensure ongoing efficiency and oversight.

How are human-in-the-loop agents activated in Levelpath?

At Levelpath, human-in-the-loop agents are activated directly by a procurement professional (e.g., a user asking for bid pricing comparisons). Autonomous agents run in the background, continuously monitoring projects, risk, and supplier performance without being manually initiated.

What types of agents does Levelpath provide?

Levelpath offers task, workflow, and research agents. Task agents retrieve, enrich, and structure supplier, contract, and project data, while automatic task-specific responsibilities such as contract reviews, supplier scoring, negotiation guidance, or compliance validation. Workflow agents coordinate multi-step processes like Quarterly Business Review preparation or contract renewals. Research and discovery agents analyze large volumes of contracts and records to find patterns, risks, or opportunities.

Can I trust the results from AI agents?

Yes, Levelpath ensures that you can trust the results from AI Agents by embedding AI into the procurement workflow rather than layering it on top. This means task agents enrich and harmonize data from supplier, contract, and sourcing records, ensuring clean, contextual foundations. These agents automate checks like contract compliance, supplier scoring, and renewal tracking, reducing human error.

How much control do humans have over AI agents?

With Levelpath AI agents, stakeholders maintain control and governance across every type of agent. With Ranger (Agent) Studio, Levelpath clients can design custom agents by specifying triggers, context, instructions, and outputs. These agents can operate individually or as part of multi-agent orchestration, coordinating multiple specialized agents in sequence based on users. This means procurement professionals always stay in control of Levelpath agents while still benefiting from automation and scalability.

What are the real benefits of using AI agents?

The benefits to using AI Agents include speed, accuracy, efficiency, insights, and scalability. AI agents in procurement deliver benefits far beyond what search engines or task-specific automations can provide.

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