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 Access Requests in IT Operations
This page shows how an AI agent handles access requests in IT operations, from goal to tool use to decision and hand-off, with a concrete worked example.
AI Agents for Access Requests
This page defines a goal-driven AI agent for handling access requests, detailing the loop, needed tools, governance, and a concrete worked example from goal to finish.
AI Agents for Account-based Marketing in Marketing
Shows how an AI agent operates in an account-based marketing context, including goal-driven planning, tool use, result checks, and a concrete worked example fielded end-to-end.
AI Agents for Account-based Marketing
A practical reference showing how AI agents execute account-based marketing tasks, from goal to tool use, with a concrete worked example of an agent-led campaign optimally coordinating assets.
AI Agents for Account Reconciliation in Finance
This page shows how AI agents perform account reconciliation in finance, detailing the goal-driven loop, tool calls, and a concrete worked example from goal to hand-off.
AI Agents for Account Reconciliation
A practical reference showing how AI agents perform account reconciliation tasks, from goal to tool usage, with a concrete worked example and operational boundaries.
AI Agents for Account Research in Sales
This page defines how AI agents perform account research tasks in sales, detailing the goal loop, tools, decision points, and a concrete worked example of a complete run.
AI Agents for Account Research
This page describes how AI agents perform account research tasks, the loop they run, and a concrete worked example showing planning, tool use, and handoff.
AI Agents for Accounting and Tax Companies
A practical reference showing how an accounting and tax firm deploys a single agent at company level, its ownership, permissions, and scoping as trust grows.
AI Agents for Accounting and Tax
This reference explains goal-driven AI agents for accounting and tax, detailing the agent loop, required tools, and a worked example path from goal to finish.
AI Agents for Accounts Payable in Finance
This reference shows goal-driven AI agents for accounts payable, their loop, tools, and a concrete worked example to guide implementation.
AI Agents for Accounts Payable
This page defines the AI agent loop for accounts payable, including goal handling, tool usage, result checks, and a concrete worked example of processing an invoice payment.
AI Agents for Accounts Receivable in Finance
This page demonstrates an AI agent handling accounts receivable tasks in finance: goal-driven planning, tool use, result checks, and hand-offs, with a concrete worked example and required infrastructure.
AI Agents for Accounts Receivable
This page shows how AI agents perform accounts receivable work, from goal to finish, with a concrete worked example and the tooling and guards involved.
AI Agents for Ad Operations in Media and Entertainment
Shows how an AI agent for ad operations in media and entertainment defines goals, plans steps, calls tools, checks results, and hands off when finished, with a concrete worked example.
AI Agents for Ad Operations
AI agents for ad operations demonstrate a goal-driven loop: plan, bid, test, validate, and hand off with auditable logs and governance controls.
AI Agents for Ad Spend Optimization in Marketing
A practical reference showing how an AI agent for ad spend optimization runs, with a concrete worked example and the decision loop from goal to hand-off.
AI Agents for Ad Spend Optimization
This page details how AI agents optimize ad spend by planning, tool usage, and result checks, with a concrete worked example showing the agent loop end-to-end.
AI Agents for Admissions Processing in Education
A practical reference showing how an AI agent handles admissions processing tasks, including goal setting, planning, tool use, result checks, and handoff with a concrete worked example.
AI Agents for Admissions Processing
A reference page showing how AI agents process admissions tasks, including the agent loop, required tools, and a concrete worked example from goal to finish.
AI Agents for After-sales Service in Automotive
This page shows how an AI agent handles after-sales service tasks in automotive, from goal to tool use to hand-off, with a concrete worked example.
AI Agents for After-sales Service
Shows how an AI agent for after-sales service plans, calls tools, and stops with a fulfilled service outcome.
AI Agents for Agent and Broker Support in Insurance
This page shows how an AI agent for agent and broker support in insurance operates, detailing the goal loop, tool calls, and a concrete worked example for reference.
AI Agents for Agent and Broker Support
A practical reference showing goal-driven AI agents for agent and broker support, how they run, 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.