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 Live Chat Support
This reference shows AI agents handling live chat support tasks with goal planning, tool use, result checks, and hand-offs, plus a concrete worked example.
AI Agents for Livestock Monitoring in Agriculture
This page shows how a goal-driven AI agent monitors livestock, plans actions, calls sensors and analytics tools, and ends with a validated decision for farm operations.
AI Agents for Livestock Monitoring
A practical reference showing how an AI livestock monitoring agent operates, including goals, tool calls, result checks, and a concrete worked example from goal to hand-off.
AI Agents for Load Planning in Logistics
This page shows how an AI agent handles load planning in logistics, from goal to decision, with a concrete worked example and needed tools and guardrails.
AI Agents for Load Planning
AI agents for load planning demonstrate a goal-driven loop that plans, calls optimization and data tools, checks results, and hands off when goals are met, with a concrete worked example.
AI Agents for Loan Origination in Banking
A concise reference showing how AI agents handle loan origination tasks, including goal-driven loop, tool calls, result checks, and a concrete worked example.
AI Agents for Loan Origination
This page defines how AI agents operate in loan origination, outlining goal-driven loops, required tools, and a worked example from goal to decision.
AI Agents for Log Analysis in Cybersecurity
This page specifies the loop for AI agents analyzing security logs, detailing goal-driven steps, tool use, checks, and a concrete worked example for incident context and validation.
AI Agents for Log Analysis
This page shows how a log analysis AI agent operates: goal-driven planning, tool usage, result checks, and hand-off, with a concrete worked example.
AI Agents for Logistics Companies
This page shows how to design and deploy a goal-driven AI agent for logistics, detailing ownership, permissions, and growth as trust builds, with a company-wide worked example.
AI Agents for Logistics
This page explains how AI agents operate in logistics, detailing goals, tool usage, and a concrete worked example of end-to-end agent execution.
AI Agents for Loss Prevention in Retail
This page defines a practical AI agent loop for loss prevention in retail, showing goals, tools, checks, and a concrete worked example from goal to hand-off.
AI Agents for Loss Prevention
This page shows how an AI agent for loss prevention is goal-driven, plans steps, calls tools, checks results, and finishes or hands off with a concrete worked example.
AI Agents for Loyalty Operations in Travel and Airlines
This page shows how an AI agent handles loyalty operations in travel and airlines, detailing goals, tools, and handoff points within a goal-driven loop.
AI Agents for Loyalty Operations
Demonstrates how a loyalty operations AI agent plans, acts, and finishes tasks within a closed loop for rewards programs and member management.
AI Agents for Loyalty Program Management in Hospitality
A concise reference on how AI agents manage loyalty programs in hospitality, showing the agent loop, required tools, and a concrete worked example.
AI Agents for Loyalty Program Management
This page shows how to design an AI agent that runs loyalty program tasks end-to-end, including goal, plan, tool calls, checks, and hand-off, with a concrete worked example.
AI Agents for LP Reporting in Private Equity and Venture Capital
This page shows how an AI agent performs LP reporting tasks in private equity and venture capital, detailing goals, tool calls, checks, and hand-off points with a concrete worked example.
AI Agents for LP Reporting
This page defines a practical loop for AI agents handling LP reporting, detailing goals, tools, checks, and a concrete worked example of end-to-end execution.
AI Agents for Maintenance Planning in Defense and Aerospace
A practical reference showing AI agents for maintenance planning in defense and aerospace, including loop execution, tools, and a concrete worked example.
AI Agents for Maintenance Planning in Transportation and Mobility
A practical reference showing how AI agents plan maintenance in transportation and mobility, how they run, and a concrete worked example from goal to handoff.
AI Agents for Maintenance Planning
A practical reference showing how AI agents plan, call tools, and verify results to optimize maintenance scheduling and resource use.
AI Agents for Maintenance Requests in Real Estate
This page shows how an AI agent handles maintenance requests in real estate, detailing goals, tools, and a concrete worked example.
AI Agents for Maintenance Requests
A practical reference showing how AI agents handle maintenance requests from goal to execution, including planning, tool calls, verification, and hand-off in a 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.