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 Defense and Aerospace
Shows how an AI agent for defense and aerospace pursues goals, plans actions, calls tools, checks results, and finishes with a concrete worked example.
AI Agents for Demand Forecasting in Supply Chain
A practical reference showing how AI agents plan, act, and finish demand forecasting tasks in supply chains with a concrete worked example.
AI Agents for Demand Forecasting
Demonstrates a goal-driven AI agent for demand forecasting, detailing the loop, tools, and a concrete end-to-end worked example from goal to finished forecast.
AI Agents for Demand Planning in Chemicals
Shows how a goal-driven AI agent handles demand planning for chemicals, from data ingestion to final plan handoff, with a concrete worked example and required controls.
AI Agents for Demand Planning
This page shows how AI agents execute demand planning tasks through goal-driven loops, tool calls, checks, and a concrete worked example.
AI Agents for Demand Response in Energy and Utilities
Demonstrates how AI agents handle demand response tasks in energy and utilities, from goal setting to tool use and hand-off, with a concrete worked example.
AI Agents for Demand Response
Demonstrates a goal-driven AI agent that optimizes demand response actions by planning, calling grid tools, and validating results for a balanced load.
AI Agents for Demand Sensing in CPG
Shows how an AI agent uses data sources, models, and tools to sense demand, plan actions, and adapt in real time for consumer packaged goods.
AI Agents for Demand Sensing
A concise reference showing how AI agents perform demand sensing tasks, run the loop, and deliver actionable signals with a concrete worked example.
AI Agents for Demurrage Management in Shipping and Maritime
Shows how an AI agent can manage demurrage tasks in shipping, from goal to tool use to decision and hand-off with a concrete worked example.
AI Agents for Demurrage Management
This page shows how to design AI agents for demurrage management, including goal-driven loops, tool use, checks, and a concrete worked example from goal to decision in real-world logistics operations.
AI Agents for Design Generation in Fashion and Apparel
This page details a goal-driven AI agent for design generation in fashion and apparel, including the loop, tools, and a concrete worked example from goal to finish.
AI Agents for Design Generation
Shows a practical agent loop for AI design generation, including goals, tool usage, checks, and a concrete worked example.
AI Agents for Developer Support in Software and SaaS
This page explains how AI agents perform developer support tasks in software and SaaS, detailing goal-driven loops, tool use, and a concrete worked example for guidance.
AI Agents for Developer Support
This page explains how an AI agent focused on developer support operates: goal-driven planning, tool use, result verification, and a concrete worked example guiding implementation and governance.
AI Agents for Devops Pipelines in Software Engineering
This page shows how AI agents manage devops pipeline tasks, plan steps, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Devops Pipelines
This page shows how an AI agent runs in a DevOps pipeline, detailing goal setting, planning, tool calls, result checks, and handoffs in a concrete worked example.
AI Agents for Digital Onboarding in Fintech
A practical reference showing how an AI agent handles fintech digital onboarding from goal to handoff, with a concrete worked example.
AI Agents for Digital Onboarding
AI agents for digital onboarding demonstrate goal-driven setup, tool use, checks, and handoff, with a concrete worked example guiding implementation and governance.
AI Agents for Digital Twin Operations in Manufacturing
This page details how AI agents manage digital twin operations in manufacturing, including goals, tool usage, and when to stop, with a concrete worked example.
AI Agents for Digital Twin Operations
Shows how an AI agent operates within digital twin operations, including goal-driven loop, tool calls, result checks, and a concrete worked example from goal to finish.
AI Agents for Discharge Planning in Healthcare
Demonstrates how a goal-driven AI agent performs discharge planning in healthcare, including data inputs, tool use, review, and a concrete worked example.
AI Agents for Discharge Planning
Shows how an AI agent handles discharge planning: goal-driven loop, tool calls, checks, and handoff with a concrete worked example that expands practical details for real-world use.
AI Agents for Dispute Resolution in Banking
Shows how a goal-driven AI agent handles banking dispute resolution, including planning, tool use, validation, and handoff with a concrete worked example.
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.