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 Category Management
AI agents for category management demonstrate goal-driven planning to optimize category structures, pricing, and assortment, using data tools to plan, execute, and review actions within governance limits.
AI Agents for Change Management in IT Services and MSP
Shows how an AI agent executes change management tasks in IT services and MSPs, detailing the loop, tools, and a concrete worked example.
AI Agents for Change Management
AI agents for change management demonstrate goal-driven planning, tool usage, result verification, and hand-off in a change initiative, including a concrete worked example.
AI Agents for Change Order Management in Construction
This page defines AI agents for change order management in construction, detailing the goal-driven loop, required tools, and a concrete worked example.
AI Agents for Change Order Management
This page shows how AI agents handle change order management, detailing the goal-driven loop, required tools, and a concrete worked example from goal to action.
AI Agents for Changeover Optimization in Manufacturing
Shows how goal-driven AI agents optimize changeovers in manufacturing, including planning, tool calls, checks, and a concrete worked example.
AI Agents for Changeover Optimization
Shows how an AI agent plans, calls tools, checks results, and hands off during a changeover optimization, with a concrete worked example.
AI Agents for Chargeback Management in Fintech
Shows how AI agents pursue chargeback goals, plan actions, call tools, verify results, and hand off within fintech workflows.
AI Agents for Chargeback Management
This page explains how AI agents manage chargebacks, detailing the loop from goal to tool use, result checks, and hand-off, with a concrete worked example.
AI Agents for Charter Party Management in Shipping and Maritime
A practical reference showing how an AI agent handles charter party management tasks, tool use, and decision points in a maritime setting.
AI Agents for Charter Party Management
This page shows how an AI agent manages charter party tasks, plans actions, calls tools, and hands off when needed, with a worked example.
AI Agents for Chemicals Companies
Shows how a chemicals company deploys an AI agent, its ownership, permissions, and gradual scope growth with a worked example at the company level.
AI Agents for Chemicals
This page describes how AI agents manage chemical workflows from goal to tool calls to finish, including a concrete worked example for solvent optimization.
AI Agents for Churn Prediction in Telecommunications
This page shows how an AI agent for churn prediction in telecommunications plans goals, executes steps, calls data tools, checks results, and hands off when finished.
AI Agents for Churn Prediction
A practical reference showing how an AI agent handles churn prediction work from goal to finish with a concrete worked example.
AI Agents for Churn Prevention in Software and SaaS
A practical reference showing how AI agents detect churn signals, plan interventions, and execute actions to retain customers in software and SaaS contexts.
AI Agents for Churn Prevention
This page shows how an AI agent for churn prevention plans, executes tools, checks results, and hands off when needed, with a concrete worked example.
AI Agents for Citizen Services in Government and Public Sector
A practical reference showing how AI agents handle citizen-service goals, tool use, decision points, and hand-off in government contexts.
AI Agents for Citizen Services
A practical reference showing how AI agents handle citizen services tasks, how they plan, call tools, verify outcomes, and hand off when appropriate, with a concrete worked example.
AI Agents for Claims Denial Management in Healthcare
This page shows how a goal-driven AI agent handles claims denial management in healthcare, detailing the loop, tools, decision points, and a worked example from goal to completion.
AI Agents for Claims Denial Management
This page shows how an AI agent handles claims denial management, outlining the goal-driven loop, required tools, and a concrete worked example from goal to decision.
AI Agents for Claims Processing in Insurance
Shows how an AI agent handles an insurance claim end-to-end: goal, plan, tool calls, results checks, and a hand-off, with a complete worked example.
AI Agents for Claims Processing
Demonstrates how an AI agent handles a claims processing workflow from goal to resolution with specific tools and checkpoints.
AI Agents for Cleaning Operations in Facilities Management
Shows how a single AI agent plans, uses tools, checks results, and finishes or handoffs for cleaning operations in facilities management, 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.