AI Agents
See what AI agents can do for your industry or process: the jobs they take on, how each agent runs, and a worked example with sample data.
Direct Answer
AI agents are software given a goal instead of a fixed script: they plan steps, call tools, check the results, and stop or hand off to a person when a decision carries risk. Pick your industry or process below to see what an agent can do, how it runs, and a worked example.
AI Agents for Subtitling in Media and Entertainment
A practical reference showing how AI agents handle subtitling in media, from goal to tool use to hand-off, with a concrete worked example.
AI Agents for Subtitling
A practical reference showing how AI agents handle subtitling tasks from goal to finish, including tools, checks, and a concrete worked example.
AI Agents for Supplier Collaboration in Automotive
Shows how an AI agent plans, calls tools, checks results, and completes supplier collaboration tasks in automotive manufacturing.
AI Agents for Supplier Collaboration
A practical reference showing how AI agents manage supplier collaboration tasks, run loops, and hand off when goals are met, with a concrete worked example and clear controls.
AI Agents for Supplier Discovery in Procurement
Shows how an AI agent discovers potential suppliers, evaluates data, and documents decisions in a procurement context, with a concrete worked example and guidance for first build steps.
AI Agents for Supplier Discovery
Shows how to design an AI agent loop for supplier discovery, including data sources, tool usage, stopping criteria, and a full worked example.
AI Agents for Supplier Onboarding in Supply Chain
A practical reference showing how an AI agent handles supplier onboarding in the supply chain, from goal to tool use to decision points and handoff.
AI Agents for Supplier Onboarding
A practical reference showing how an AI agent handles supplier onboarding, from goal to tool calls to decision handoff, with a concrete worked example.
AI Agents for Supplier Performance Management in Procurement
Illustrates a practical AI agent loop for supplier performance management in procurement, detailing goals, tools, checks, and a concrete worked example.
AI Agents for Supplier Performance Management
This reference shows how AI agents manage supplier performance management through goal-driven planning, tool use, result checks, and controlled handoff, with a concrete worked example.
AI Agents for Supplier Quality in Manufacturing
This reference shows how an AI agent handles supplier quality duties from goal to execution, with a worked example of a complete cycle in manufacturing sourcing.
AI Agents for Supplier Quality
This page shows how AI agents handle supplier quality tasks, from goal setting to tool use and hand-off, with a concrete worked example and clear stopping conditions.
AI Agents for Supplier Risk Management in Procurement
This page explains how an AI agent handles supplier risk management tasks in procurement, including goal-driven loops, tool use, safeguards, and a concrete worked example from goal to decision.
AI Agents for Supplier Risk Management
This page shows how AI agents manage supplier risk by planning, calling tools, and reassessing results, with a concrete worked example of a full agent run.
AI Agents for Supplier Risk Monitoring in Supply Chain
This page details a practical AI agent loop for supplier risk monitoring in supply chains, showing goals, tools, checks, and a concrete worked example.
AI Agents for Supplier Risk Monitoring
Provides a reference for an AI agent in supplier risk monitoring, detailing goal pursuit, planning steps, tool calls, result checks, and decisions to complete tasks or hand off to human.
AI Agents for Supplier Sustainability Assessment in ESG and Sustainability
This page shows how an AI agent can run supplier sustainability assessments, from goal to decision, with tools, checks, and a concrete worked example in ESG data workflows.
AI Agents for Supplier Sustainability Assessment
This page shows how AI agents assess supplier sustainability, including goal-driven loops, tool calls, checks, and a concrete worked example.
AI Agents for Supplier Traceability in Food and Beverage
This page outlines a practical AI agent loop for supplier traceability in food and beverage, including goals, tools, and a concrete worked example.
AI Agents for Supplier Traceability
This page shows how AI agents manage supplier traceability: goals, tools, loop, and a concrete worked example, including data sources, audit steps, and handoff criteria.
AI Agents for Supply Chain Companies
This reference shows how a supply chain company selects, deploys, and expands an AI agent within operations, detailing ownership, permissions, and the growth loop from pilot to wider scope.
AI Agents for Supply Chain Visibility in Supply Chain
Shows how an AI agent plans, calls tools, and validates results to improve end-to-end supply chain visibility with a concrete worked example.
AI Agents for Supply Chain Visibility
This page defines the goal-driven loop for AI agents handling supply chain visibility, the tools used, and a worked example of a full agent run from goal to finish.
AI Agents for Supply Chain
Shows how an AI agent can plan, execute, and verify supply chain tasks with a concrete worked example of end-to-end automation.
FAQ
What is an AI agent?
An AI agent is software given a goal rather than a fixed script. It plans steps, calls tools, checks the results, and either finishes or hands off to a person.
What is the difference between an AI agent and AI automation?
AI automation runs a defined process with AI at certain steps. An AI agent chooses its own next step toward a goal, which suits work where the path changes from case to case.
Which AI agent should a business build first?
Start with one narrow goal, read-mostly tool access, and a clear owner. Widen what the agent may do alone only after its logged runs show it can be trusted.