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 Technician Dispatch in Field Service
Shows how an AI agent plans dispatch, talks to scheduling tools, assigns technicians, and verifies outcomes in field service operations.
AI Agents for Technician Dispatch
Shows how an AI agent framework drives technician dispatch, from goal to action, tool use, validation, and handoff, with a concrete worked example.
AI Agents for Telecommunications Companies
This page shows how a telecom company deploys an AI agent from initiation to expanded scope, including ownership, permissions, and governance.
AI Agents for Telecommunications
This page shows how a telecommunications AI agent operates, including the loop from goal to tool use, result check, and hand-off, plus a worked example in a telecom context.
AI Agents for Tenant Communication in Real Estate
This page defines how an AI agent handles tenant communication tasks in real estate, including goal-driven loops, tool use, checks, and a concrete worked example.
AI Agents for Tenant Communication
This page defines how AI agents handle tenant communications, detailing goal-driven loops, tool usage, and a concrete worked example that shows decision points and handoff criteria.
AI Agents for Territory Planning in Sales
Shows how an AI agent handles territory planning in sales: goals, tools, loop, and a worked example from goal to finish.
AI Agents for Territory Planning
This page defines how AI agents perform territory planning tasks, from goal receipt to plan execution, including a concrete worked example and the required tools and safeguards.
AI Agents for Test Automation in Software Engineering
Shows how AI agents execute a goal-driven loop to expand API regression coverage with tool calls, result checks, and a concrete worked example from goal to hand-off.
AI Agents for Test Automation
Shows how an AI agent drives test automation work: goal framing, planning, tool calls, result checks, and stopping criteria, with a concrete worked example to illustrate the loop.
AI Agents for Test Data Analysis in Defense and Aerospace
Shows how AI agents perform goal-driven test data analysis in defense and aerospace, detailing the loop, tools, and a concrete worked example.
AI Agents for Test Data Analysis
AI agents for test data analysis show how goal-driven agents plan, call data tools, validate results, and hand off when needed, with a worked example of end-to-end data quality assessment.
AI Agents for Third-party Due Diligence in Legal and Compliance
This page outlines how an AI agent performs third-party due diligence in legal and compliance, detailing goals, tools, checks, and a concrete worked example.
AI Agents for Third-party Due Diligence
This page defines how AI agents perform due diligence on third-party suppliers, detailing goals, tool use, and a concrete worked example of a full agent run from goal to decision.
AI Agents for Third-party Risk in Cybersecurity
Shows how an AI agent handles third-party risk in cybersecurity: goal-driven loop, tools, data, and a concrete worked example.
AI Agents for Third-party Risk
Demonstrates how an AI agent handles third-party risk tasks from goal formulation to action, tool use, and hand-off, with a concrete worked example.
AI Agents for Threat Detection in Cybersecurity
AI agents for threat detection in cybersecurity demonstrate goal-driven loops that plan, execute tool calls, evaluate results, and hand off when necessary, detailing every step from goal to action.
AI Agents for Threat Detection
This reference shows how AI agents detect threats by goal-driven planning, tool use, result verification, and handoff, with a concrete worked example to anchor the loop from goal to finish.
AI Agents for Threat Intelligence in Cybersecurity
Shows how a threat intelligence agent plans, executes tool calls, validates results, and hands off when goals are achieved, with a concrete worked example.
AI Agents for Threat Intelligence
A concise reference showing how threat intelligence agents plan, execute tool calls, verify results, and hand off when goals are met, with a worked example.
AI Agents for Ticket Routing in Customer Service
This page shows how AI agents route customer service tickets, plan steps, call tools, check results, and hand off when needed, with a concrete worked example.
AI Agents for Ticket Routing
A practical reference showing how an AI agent routes support tickets, from goal to tool use, decision checks, and when to hand off, including a concrete worked example.
AI Agents for Ticket Triage in IT Services and MSP
This page explains how AI agents triage IT tickets in services and MSP, detailing goals, tool calls, and a concrete worked example from goal to finish.
AI Agents for Ticket Triage
This page presents how an AI agent triages tickets, plans actions, calls IT tools, checks results, and hands off when needed, 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.