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 Bookkeeping in Accounting and Tax
Shows how an AI agent handles bookkeeping and tax tasks, including data capture, reconciliation, and reporting, with a concrete worked example of the end-to-end loop.
AI Agents for Bookkeeping in Small and Medium Businesses
This page shows how AI agents perform bookkeeping tasks for SMBs, from goal to tool use, with a concrete worked example and defined human checkpoints.
AI Agents for Bookkeeping
Shows a complete AI agent loop for bookkeeping work: goals, tools, checks, and a concrete worked example within structured ledger processing and audit packaging.
AI Agents for Branch Operations in Banking
This page describes a complete AI agent loop for branch operations in banking, including goals, tools, decision points, and a concrete worked example of end-to-end execution.
AI Agents for Branch Operations
This page defines how AI agents perform branch operations tasks, detailing the goal-driven loop, required tools, data, and a concrete worked example showing decision points and handoffs.
AI Agents for Brand Monitoring in CPG
Shows how an AI agent conducts brand monitoring for CPG, from goal to execution, with planning, tool use, verification, and hand-off.
AI Agents for Brand Monitoring in Marketing
Demonstrates a goal-driven AI agent setup for brand monitoring in marketing, including tools, loop steps, and a concrete worked example of action and review.
AI Agents for Brand Monitoring
This reference shows how an AI agent for brand monitoring forms goals, plans steps, calls tools, evaluates results, and finishes or hands off, with a concrete worked example.
AI Agents for Budget Variance Analysis in Finance
This page shows how an AI agent conducts budget variance analysis in finance: goal-driven planning, tool calls, result checks, and a final hand-off with concrete, auditable outputs.
AI Agents for Budget Variance Analysis
This page shows a practical loop for AI agents handling budget variance analysis, detailing goals, tools, data flows, and a concrete worked example from goal to hand-off.
AI Agents for Bug Triage in Software Engineering
A practical reference showing how an AI agent triages bugs in software engineering, from goal to action, with a worked example and the required controls.
AI Agents for Bug Triage
This reference shows how a goal-driven AI agent triages bug reports, assigns priority, composes patches, and coordinates tools while flagging cases for human review when needed.
AI Agents for Building Automation in Facilities Management
A practical reference showing how an AI agent plans, executes, checks, and stops in building automation for facilities management, with a concrete worked example.
AI Agents for Building Automation
A practical reference showing how AI agents drive building automation tasks, from goal to tool calls, checks, and handoff, with a concrete worked example at the end.
AI Agents for Bunker Fuel Optimization in Shipping and Maritime
AI agents for bunker fuel optimization in shipping and maritime demonstrate goal-driven planning, tool use, result checks, and handoffs in a practical optimization loop with a concrete worked example.
AI Agents for Bunker Fuel Optimization
This reference shows how AI agents optimize bunker fuel use, plan steps, call tools, verify results, and hand off when human review is needed.
AI Agents for Business Continuity in Operations
A practical reference showing how AI agents drive business continuity in operations, including goal handling, tool usage, result checks, and hand-off points with a concrete worked example.
AI Agents for Business Continuity
This page defines AI agents for business continuity, detailing the goal-driven loop, required tools, and a concrete worked example to show decision points and hand-offs.
AI Agents for Business Impact Analysis in Risk Management
This page shows how AI agents perform business impact analysis in risk management, including goals, tool use, decision points, and a worked example from goal to finish.
AI Agents for Business Impact Analysis
This reference shows how to build a goal-driven AI agent for business impact analysis, how it runs, and a concrete worked example from goal to decision.
AI Agents for Campaign Management in Marketing
A practical reference showing how AI agents manage marketing campaigns, detailing goals, tools, loop steps, and a concrete worked example from goal to finish.
AI Agents for Campaign Management
This page explains how AI agents manage campaigns, detailing goals, tool usage, control loop, and a concrete worked example from goal to completion.
AI Agents for Capacity Management in Operations
A practical reference showing how AI agents manage capacity in operations, including the goal loop, tools, checks, and a concrete worked example from goal to finish.
AI Agents for Capacity Management
This page shows how AI agents handle capacity management, including goals, tool use, and a concrete worked example from goal to finish.
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.