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 Asset Inspection in Energy and Utilities
This page defines the AI agent loop for asset inspection in energy and utilities, detailing goals, tool use, and a concrete worked example from plan to action.
AI Agents for Asset Inspection
This page demonstrates how AI agents for asset inspection operate: goal-driven loops, tool calls, data checks, and a concrete worked example showing inspection workflow and decision points.
AI Agents for Asset Integrity in Oil and Gas
Shows how an AI agent handles asset integrity tasks in oil and gas, from goal to execution, with a concrete worked example.
AI Agents for Asset Integrity
Shows how an asset integrity AI agent sets a goal, plans actions, calls tools, validates results, and hands off when needed.
AI Agents for Asset Management in IT Services and MSP
This page explains the goal-driven loop for AI agents handling asset management in IT services and MSP, including tooling, checks, and a concrete worked example.
AI Agents for Asset Management
This page demonstrates how AI agents for asset management pursue goals, plan steps, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Asset Service History in Field Service
Shows how an AI agent tracks asset service history in field service, plans steps, calls tools, checks results, and hands off when finished.
AI Agents for Asset Service History
A practical reference showing how AI agents manage asset service history tasks, including goal-driven loops, tools, and a concrete worked example from goal to finish.
AI Agents for Assortment Planning in Retail
A practical reference showing how AI agents plan, call tools, verify results, and hand off in retail assortment decisions with a worked example.
AI Agents for Assortment Planning
AI agents for assortment planning demonstrate goal-driven planning, tool use, result checking, and handoff, with a concrete worked example showing a complete cycle from goal to decision.
AI Agents for Audience Analytics in Media and Entertainment
A practical reference showing how to build goal-driven AI agents for audience analytics in media and entertainment, including loop, tools, and a concrete worked example.
AI Agents for Audience Analytics
This reference shows how an AI agent handles audience analytics tasks, from goal to tool usage, with a concrete worked example and clear stop conditions.
AI Agents for Audit Management in Legal and Compliance
This page shows how AI agents handle audit management tasks in legal and compliance, from goal to action, including a concrete worked example.
AI Agents for Audit Management
A practical reference showing how an audit management AI agent plans, executes, and verifies tasks end-to-end with a concrete worked example.
AI Agents for Audit Preparation in Finance
A practical reference showing how AI agents handle audit prep tasks, tool use, and decision points for finance teams.
AI Agents for Audit Preparation
A practical reference showing how AI agents handle audit preparation tasks, run the agent loop, and deliver a complete worked example from goal to finish.
AI Agents for Audit Sampling in Accounting and Tax
AI agents for audit sampling in accounting and tax demonstrate goal-driven looping to plan, select samples, execute tools, verify results, and hand off when thresholds or rules are met.
AI Agents for Audit Sampling
This page shows how AI agents handle audit sampling tasks, from goal definition to tool use and result validation, with a concrete worked example.
AI Agents for Automotive Companies
This reference shows how automotive firms deploy AI agents, how ownership and permissions evolve, and a concrete worked example of a company-wide agent deployment.
AI Agents for Automotive
Shows how an AI agent for automotive performs goal-driven tasks, plans steps, calls tools, and returns a finished action with a concrete worked example.
AI Agents for Backup and Recovery in IT Operations
A practical reference showing how AI agents handle backup and recovery tasks in IT operations, including goal-driven loops, tool usage, and a concrete worked example.
AI Agents for Backup and Recovery
Explains the loop, tools, and gating rules for AI agents handling backup and recovery tasks with a concrete worked example.
AI Agents for Baggage Tracking in Travel and Airlines
A practical reference showing how an AI agent manages baggage tracking in travel and airlines, from goal to tool use to hand-off, with a concrete worked example.
AI Agents for Baggage Tracking
Demonstrates the AI agent loop for baggage tracking, detailing goals, tool use, decision points, and a concrete worked example from goal to hand-off.
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.