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 Network Fault Resolution in Telecommunications
This page defines a practical AI agent loop for diagnosing and resolving network faults in telecommunications, with a concrete worked example and required controls for operators.
AI Agents for Network Fault Resolution
A practical reference showing how an AI agent handles network fault resolution, from goal to tool use to hand-off, with a worked example and concrete guidance for building the first agent.
AI Agents for Network Operations in Telecommunications
This page outlines the AI agent loop for network operations in telecommunications, detailing goals, tool usage, stop criteria, and a concrete worked example.
AI Agents for Network Operations
This page describes goal-driven AI agents for network operations, detailing the agent loop, needed tools, and a concrete worked example from goal to completion.
AI Agents for Newsroom Operations in Media and Entertainment
An operational reference showing how AI agents run in newsroom workflows, including goals, tools, checks, and a concrete worked example.
AI Agents for Newsroom Operations
Shows how a newsroom AI agent plans, calls tools, and checks results to automate editing, tagging, and distribution tasks with a concrete worked example.
AI Agents for Nonprofit Organizations
Shows how a nonprofit can deploy an AI agent, its ownership, permissions, and growth of scope as trust increases, with a company-wide worked example.
AI Agents for Nonprofits
This page explains how AI agents for nonprofits operate, detailing goal planning, tool calls, result checks, and hand-offs, plus a concrete worked example of a complete agent run.
AI Agents for Nurse Staffing in Hospitals
This page shows how AI agents plan, execute, and supervise nurse staffing tasks, including data intake, tool calls, result checks, and handoffs to human supervisors.
AI Agents for Nurse Staffing
This page shows how an AI agent manages nurse staffing tasks, including planning shifts, calling scheduling tools, validating results, and handing off when needed.
AI Agents for OEE Improvement in Manufacturing
This page demonstrates how AI agents optimize OEE by goal planning, tool calls, result checks, and handoffs, with a concrete worked example showing the loop from goal to finish.
AI Agents for OEE Improvement
AI agents for OEE improvement demonstrate goal-driven optimization of equipment, batch, and process steps with tool calls and checks, ending with a human-approved decision.
AI Agents for Offboarding in Human Resources
Demonstrates a goal-driven AI agent for HR offboarding, detailing the loop, tools, checks, and a concrete worked example from goal to finish.
AI Agents for Offboarding
This page defines AI agents for offboarding, showing the loop from goal through tool use to completion and handoff to HR or IT, with a concrete worked example.
AI Agents for Oil and Gas Companies
This reference shows how an oil and gas company deploys a goal-driven AI agent, from ownership and permissions to scope growth, with a company-wide worked example.
AI Agents for Oil and Gas
This reference shows a goal-driven AI agent loop for oil and gas tasks, from goal to tool use to result checks and handoff, with a worked example.
AI Agents for OKR Tracking in Corporate Strategy
This page demonstrates how an AI agent drives OKR tracking in corporate strategy from goal receipt to execution, including planning, data calls, checks, and handoff.
AI Agents for OKR Tracking
AI agents for OKR tracking illustrate a goal-driven loop that plans, calls tools, checks results, and updates objectives and key results dashboards.
AI Agents for Omnichannel Support in Customer Service
Shows how an AI agent operates in omnichannel customer service, detailing goals, tool use, loops, and a concrete worked example from goal to completion.
AI Agents for Omnichannel Support
A practical reference showing how an AI agent handles omnichannel support goals, tool use, and decision points from goal to hand-off, with a concrete worked example.
AI Agents for Onboarding and Offboarding in IT Services and MSP
This page details the lifecycle of AI agents handling onboarding and offboarding in IT services and MSPs, including goal painting, tool use, checks, and handoffs using a concrete worked example.
AI Agents for Onboarding and Offboarding
This page defines the AI agent loop for onboarding and offboarding, with tool use, decision points, and a concrete worked example from goal to finish.
AI Agents for Operating Room Scheduling in Hospitals
This reference shows how AI agents plan, execute, and adjust operating room schedules, with a concrete worked example of end-to-end scheduling use in a hospital.
AI Agents for Operating Room Scheduling
This reference shows how an AI agent plans and executes operating room scheduling tasks from goal to hand-off 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.