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 Warranty Claims in Automotive
Shows the AI agent loop for automotive warranty claims with goal planning, tool usage, result checks, and a concrete worked example with operational specifics.
AI Agents for Warranty Claims
This page shows how AI agents handle warranty claims from goal to action, detailing loop, tools, and a concrete worked example for faster claim resolution.
AI Agents for Waste Reduction in ESG and Sustainability
A practical reference detailing how AI agents drive waste reduction in ESG and sustainability, including the agent loop and a concrete worked example.
AI Agents for Waste Reduction in Food and Beverage
Shows how a goal-driven AI agent reduces waste in food and beverage operations by planning, calling tools, and verifying results through a concrete worked example.
AI Agents for Waste Reduction
This page shows a goal-driven AI agent reducing packaging waste with a concrete loop from planning to verification and a detailed worked example.
AI Agents for Wealth Advisory in Banking
Shows how a goal-driven AI agent handles wealth advisory tasks, from goal to tool calls, checks, and hand-off, with a concrete worked example.
AI Agents for Wealth Advisory
Shows how an AI agent for wealth advisory operates: goal formulation, planning, tool use, result checks, and hand-off with a concrete worked example.
AI Agents for Whistleblower Case Management in Legal and Compliance
This page demonstrates how a goal-driven AI agent handles whistleblower case management in legal and compliance, from intake to disposition, with a concrete worked example.
AI Agents for Whistleblower Case Management
This page shows how AI agents manage whistleblower case workflows, including goal-driven planning, tool calls, result checks, and hand-offs, with a concrete worked example.
AI Agents for Wholesale Order Management in Fashion and Apparel
This page details how AI agents execute wholesale order management tasks in fashion and apparel, showing the loop from goal to tool use, verification, and handoff with a worked example.
AI Agents for Wholesale Order Management
Shows how an AI agent autonomously manages wholesale orders, from goal to finish, including planning, tool calls, results checks, and handoff with a concrete worked example.
AI Agents for Win-loss Analysis in Sales
A practical reference showing goal-driven AI agents for win-loss analysis in sales, including loop, tools, checks, and a concrete worked example.
AI Agents for Win-loss Analysis
AI agents for win-loss analysis demonstrate goal-driven analysis of sales outcomes, using data tools and workflows to explain drivers without human bias beyond review points.
AI Agents for Work Instruction Generation in Manufacturing
Demonstrates a goal-driven AI agent that generates manufacturing work instructions from engineering data and shopfloor feedback, with a concrete worked example.
AI Agents for Work Instruction Generation
This page demonstrates how AI agents generate step-by-step work instructions by planning, executing tools, and validating output within a controlled loop.
AI Agents for Work Order Management in Field Service
This page details how an AI agent handles field service work orders from receipt to closure, including loops, tools, and a concrete worked example.
AI Agents for Work Order Management
This page explains how AI agents manage work orders, plan actions, call tooling, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Workflow Orchestration in Operations
Shows how a goal-driven AI agent manages operations workflow end-to-end, including planning, tool calls, result checks, and hand-off in a concrete worked example.
AI Agents for Workflow Orchestration
This page demonstrates how AI agents orchestrate multi step workflows by planning, executing tools, checking results, and handing off when needed, with a concrete worked example.
AI Agents for Workforce Planning in Human Resources
This reference shows how goal-driven AI agents plan, execute tools, verify results, and hand off when needed, with a worked example in workforce planning for HR.
AI Agents for Workforce Planning
This page shows how an AI agent handles workforce planning tasks from goal to finish, including planning, tool use, checks, and handoff in a concrete worked example.
AI Agents for Workforce Scheduling in Retail
Shows how an AI agent plans, calls tools, checks results, and hands off for retail workforce scheduling, with a concrete worked example and requirements to implement.
AI Agents for Workforce Scheduling
This page shows how an AI agent for workforce scheduling plans, calls tools, checks results, and finishes with a concrete worked example and practical setup guidance.
AI Agents for Workplace Booking in Facilities Management
A practical reference showing how a goal-driven AI agent handles workplace booking tasks in facilities management, including tools, loop, and 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.