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 Payments Reconciliation in Fintech
A practical reference showing AI agents for payments reconciliation in fintech, detailing goal-driven loops, required tools, and a concrete worked example.
AI Agents for Payments Reconciliation
A reference page showing how AI agents handle payments reconciliation, including goal-driven loop, tool use, checks, and a worked example.
AI Agents for Payroll in Small and Medium Businesses
A practical reference showing how payroll AI agents operate in small and medium businesses, including goal-driven looping, required tools, and a concrete worked example.
AI Agents for Payroll Processing in Human Resources
This reference shows how a payroll-focused AI agent operates within human resources, including goal handling, tool use, and a concrete worked example.
AI Agents for Payroll Processing
Shows how a payroll processing AI agent operates: goals, planning, tools, checks, and when to stop, with a concrete worked example and exact steps.
AI Agents for Payroll Tax Reporting in Accounting and Tax
A practical reference showing how an AI agent handles payroll tax reporting in accounting, including goals, tool use, loop steps, and a concrete worked example.
AI Agents for Payroll Tax Reporting
This page defines the payroll tax reporting agent loop, tool interfaces, and a concrete worked example showing planning, tool calls, checks, and human handoff.
AI Agents for Payroll
Shows how goal-driven AI agents automate payroll tasks from goal framing to tool use and hand-off, with a concrete worked example.
AI Agents for Penetration Test Reporting in Cybersecurity
Demonstrates a goal-driven AI agent that plans, executes tools, verifies results, and produces a structured penetration test report from data inputs.
AI Agents for Penetration Test Reporting
This page defines how an AI agent plans, executes, and wraps up penetration test reporting tasks with concrete steps and a worked example to illustrate the loop.
AI Agents for Performance Reviews in Human Resources
This page shows how AI agents can drive performance reviews in HR by planning, calling tools, validating results, and handing off when needed, with a concrete worked example.
AI Agents for Performance Reviews
This page defines how an AI agent handles performance review tasks, from goal to hand-off, with a concrete worked example and required controls for governance and auditing.
AI Agents for Permit and License Processing in Government and Public Sector
A practical reference showing how AI agents handle permit and license processing in government, including goal-driven loop, tool use, and a concrete worked example.
AI Agents for Permit and License Processing
Demonstrates how an AI agent handles permit and license processing from goal to completion, including planning, tool use, and human handoff in a worked example.
AI Agents for Permit Management in Oil and Gas
Shows how an AI agent executes permit management tasks in oil and gas, including goal planning, tool use, and handoff, with a concrete worked example and safety checks.
AI Agents for Permit Management
This page details how AI agents manage permit workflows, including goal-driven planning, tool use, validation steps, and handoffs with a concrete worked example for a permit process.
AI Agents for Personal Finance Coaching in Fintech
A practical reference showing how AI agents perform personal finance coaching tasks in fintech, including goal-driven loop, tools, checks, and a concrete worked example.
AI Agents for Personal Finance Coaching
A practical reference about AI agents for personal finance coaching, detailing goals, loop steps, tools, and a concrete worked example to guide implementation.
AI Agents for Personalization in Marketing
Shows a practical AI agent loop for delivering personalized marketing, including goals, tools, decision points, and a worked example of end-to-end execution.
AI Agents for Personalization
A practical reference showing how AI agents drive personalized experiences, including goals, tools, loop steps, and a detailed worked example.
AI Agents for Personalized Recommendations in Retail
Demonstrates a goal-driven agent loop for personalized retail recommendations, with a concrete worked example and required tooling, data, and governance checkpoints.
AI Agents for Personalized Recommendations
Shows how an AI agent pursues a goal, plans steps, calls tools, checks results, and hands off in personalized recommendations with concrete, auditable details.
AI Agents for Personalized Tutoring in Education
This page shows how a goal-driven AI tutor agent operates, the tools it uses, and a concrete worked example from goal to finish.
AI Agents for Personalized Tutoring
This page shows how AI agents can plan, execute, and adapt tutoring sessions with tools for content, assessment, and progress tracking in a repeatable loop.
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.