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 Due Diligence
A practical reference showing how AI agents execute due diligence tasks, from goal to decision, with a concrete worked example and concrete tool usage.
AI Agents for Dynamic Fare Pricing in Travel and Airlines
This page shows how AI agents plan and execute dynamic fare pricing in travel, detailing goals, tool use, decision checks, and when to stop, with a concrete worked example and auditable decisions.
AI Agents for Dynamic Fare Pricing
This page defines the AI agent loop for dynamic fare pricing, showing goals, tools, checks, and a concrete worked example of end-to-end operation.
AI Agents for Dynamic Pricing in Retail
This page explains how AI agents drive dynamic pricing in retail, detailing the goal-driven loop, required tools, stopping conditions, and a concrete worked example.
AI Agents for Dynamic Pricing
A practical reference showing how a dynamic pricing AI agent plans, calls tools, validates results, and completes a pricing decision loop with a concrete worked example.
AI Agents for E-commerce Companies
This page demonstrates a practical AI agent deployment for an e-commerce company, detailing ownership, permissions, lifecycle, and a company-wide worked example through stepwise expansion governance.
AI Agents for E-commerce
This page shows how an AI agent for e-commerce builds a plan, calls tools, validates results, and stops with a concrete worked example.
AI Agents for Ediscovery in Legal
This page shows how an AI agent performs ediscovery tasks in legal environments, detailing goal-driven loops, tool use, checks, and a concrete worked example from goal to finish.
AI Agents for Ediscovery
A practical reference on how AI agents perform ediscovery tasks, including goal-driven loops, tool use, checks, and a concrete worked example.
AI Agents for Education Companies
Shows how an education company can deploy a single agent, who owns it, and how scope grows with trust through a practical, company-wide worked example.
AI Agents for Education
A practical reference showing how AI agents operate in education, including goals, tool use, loop flow, and a concrete worked example from goal to action completion.
AI Agents for Email Management in Small and Medium Businesses
A practical reference showing how an email management AI agent works in small and medium businesses, including a concrete worked example from goal to execution.
AI Agents for Email Management
Shows how an AI agent for email management plans, executes, and evaluates tasks like triage, drafting replies, and scheduling, with a concrete worked example and safety checks.
AI Agents for Email Marketing in Marketing
This page shows how goal-driven AI agents handle email marketing tasks from planning to tool calls and handoff, with a worked example and clear guidance on the first capable agent to build.
AI Agents for Email Marketing
This page explains how an AI agent plans, executes, and finishes tasks in email marketing, with a concrete worked example of a complete run from goal to decision.
AI Agents for Embedded Finance in Fintech
Shows how an AI agent runs a goal-driven loop for embedded finance tasks, including planning, tool use, result checks, and handoff in fintech environments.
AI Agents for Embedded Finance
Shows how an AI agent handles embedded finance goals, tools, and stopping conditions with a concrete worked example and guardrails for humans.
AI Agents for Emergency Department Triage in Hospitals
This page details how AI agents perform emergency department triage, including goals, tool use, and a concrete worked example of a full agent run.
AI Agents for Emergency Department Triage
Shows how AI agents perform ED triage work: goal-driven planning, tool use, result checks, and hand-off with a concrete worked example.
AI Agents for Emissions Compliance in Shipping and Maritime
This reference explains how AI agents pursue emissions compliance goals in shipping, detailing the loop, tools, and a concrete worked example from goal to hand-off.
AI Agents for Emissions Compliance
This page demonstrates how an AI agent handles emissions compliance tasks, from goal to tool use to decision, with a concrete worked example and clear stop criteria.
AI Agents for Emissions Reporting in Energy and Utilities
This page documents how AI agents perform emissions reporting tasks in energy and utilities, detailing goals, planning, tool use, checks, and handoffs, with a concrete worked example.
AI Agents for Emissions Reporting
This page presents a practical reference on AI agents for emissions reporting, detailing the agent loop, required tools, and a concrete worked example from goal to finish.
AI Agents for Employee Engagement Analysis in Human Resources
A practical reference showing how AI agents for employee engagement analysis in HR plan, execute, and review tasks using tools and data, 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.