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 Supply Disruption Response in Supply Chain
Shows how AI agents execute a goal-driven response to supply disruption, detailing the loop, tools, and a concrete worked example for supply chain resilience.
AI Agents for Supply Disruption Response
Shows how an AI agent handles supply disruption response, from goal to tool use, decision checks, and hand-off with a concrete worked example.
AI Agents for Supply Readiness in Defense and Aerospace
Shows how an AI agent plans, calls tools, checks results, and hands off for supply readiness in defense and aerospace with a concrete worked example.
AI Agents for Supply Readiness
This page defines AI agents for supply readiness, detailing the goal loop, tool use, and concrete worked example to guide implementation and governance.
AI Agents for Sustainability Disclosures in ESG and Sustainability
This page shows how AI agents pursue sustainability disclosures goals, the tools used, and a concrete worked example from goal to finish.
AI Agents for Sustainability Disclosures
The page demonstrates how a goal-driven AI agent handles sustainability disclosures, detailing the loop, tools, checks, and a concrete worked example from goal to finish.
AI Agents for Sustainability Tracking in Supply Chain
This reference explains how an AI agent plans, executes, and verifies tasks to track sustainability metrics across a supply chain, with a concrete worked example.
AI Agents for Sustainability Tracking
This reference shows how an AI agent pursues sustainability goals, plans steps, calls tools, checks outcomes, and either finishes or hands off, with a concrete worked example.
AI Agents for Sustainable Sourcing in Fashion and Apparel
Shows how a goal-driven AI agent plans, executes, and validates sustainable sourcing tasks in fashion and apparel, with a concrete worked example.
AI Agents for Sustainable Sourcing
This page demonstrates goal-driven AI agents in sustainable sourcing, detailing the agent loop, required tools, and a concrete worked example guiding build choices and stop criteria.
AI Agents for Tail Spend Management in Procurement
This page documents AI agents handling tail spend management in procurement, detailing goals, tool use, decision points, and a concrete worked example from goal to hand-off.
AI Agents for Tail Spend Management
This page shows the loop, tools, and a worked example for AI agents handling tail spend management in procurement operations.
AI Agents for Tailings Monitoring in Mining and Metals
A practical reference showing how an AI agent monitors tailings facilities, plans actions, calls field tools, and hands off when needed, with a worked example.
AI Agents for Tailings Monitoring
This page shows how AI agents monitor tailings dams, plan actions, call sensor tools, evaluate results, and hand off when needed in a practical loop.
AI Agents for Talent Mobility in Human Resources
This reference shows how a goal-driven AI agent handles talent mobility tasks from planning to execution and handoff, with a concrete worked example.
AI Agents for Talent Mobility
Shows how an AI agent performs talent mobility tasks, from goal to action, tool use, verification, and hand-off in a repeatable loop.
AI Agents for Tax Administration in Government and Public Sector
This reference shows how tax administration AI agents plan, execute, and verify tasks across audits, compliance, and data reconciliation, with a concrete worked example and clear stopping criteria.
AI Agents for Tax Administration
A practical reference showing how AI agents pursue tax administration goals, including planning, tool use, result checks, and handoff to humans in a controlled loop.
AI Agents for Tax Compliance in Accounting and Tax
This page explains how AI agents handle tax compliance tasks in accounting, detailing the goal-driven loop, required tools, and a concrete worked example from goal to hand-off.
AI Agents for Tax Compliance
AI agents for tax compliance demonstrate goal-driven loops using filing, reconciliation, and audit checks, showing tool calls, result verification, and escalation to humans when needed.
AI Agents for Tax Research in Accounting and Tax
This page shows how AI agents perform tax research work in accounting, detailing goals, tool use, loop flow, and a concrete worked example for reference.
AI Agents for Tax Research
A practical reference showing how AI agents perform tax research tasks, run the loop, and when to stop, with a concrete worked example.
AI Agents for Technical Documentation in Software and SaaS
A practical reference showing how AI agents manage technical documentation tasks from goal to finish, with an illustrative worked example.
AI Agents for Technical Documentation
This page defines the AI agent loop for producing and maintaining technical documentation, including goals, tools, checks, and hand-off points, 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.