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 Policy Analysis in Government and Public Sector
Shows how AI agents plan and act on policy analysis tasks, including data gathering, evidence assessment, and decision framing, with a concrete worked example.
AI Agents for Policy Analysis
AI agents for policy analysis demonstrate an autonomous loop: define goals, plan steps, call tools, verify results, and hand off when decisions require human review. It shows a concrete worked example tied to policy documents and regulatory review.
AI Agents for Policy Management in Legal and Compliance
Shows how AI agents handle policy drafting, review, and compliance checks in legal policy management, including goal-driven loop, tool calls, results verification, and a concrete worked example.
AI Agents for Policy Management
AI agents for policy management illustrate a goal-driven loop: define policy goals, plan actions, call governance tools, verify outcomes, and hand off when checks are satisfied.
AI Agents for Port Call Management in Shipping and Maritime
This page documents goal-driven AI agents for port call management in shipping and maritime, detailing their loop, required tools, and a concrete worked example.
AI Agents for Port Call Management
This page shows how AI agents manage port call tasks, plan actions, call tools, check results, and hand off when needed in a concrete worked example.
AI Agents for Portfolio Analytics in Real Estate
This page shows how AI agents handle portfolio analytics in real estate, including goal-driven loops, required tools, checks, and a concrete worked example.
AI Agents for Portfolio Analytics
This page shows the AI agent loop for portfolio analytics, including goal setting, planning, tool use, checks, and hand-off, with a concrete worked example.
AI Agents for Portfolio Monitoring in Private Equity and Venture Capital
This page shows how AI agents monitor private equity and VC portfolios, plan actions, call tools, verify results, and hand off when needed, with a practical worked example.
AI Agents for Portfolio Monitoring
Shows how AI agents monitor portfolios, plan actions, call tools, and hand off when needed, with a concrete worked example and practical run loop guidance.
AI Agents for Portfolio Rebalancing in Capital Markets
This page defines the AI agent loop for capital markets portfolio rebalancing, including goals, tool calls, checks, and a concrete worked example.
AI Agents for Portfolio Rebalancing
This page describes how AI agents implement portfolio rebalancing, detailing the goal loop, required tools, and a concrete worked example from goal to handoff.
AI Agents for Portfolio Strategy in Corporate Strategy
This page outlines how AI agents drive portfolio strategy work in corporate strategy, detailing the goal loop, tool calls, checks, and a concrete worked example.
AI Agents for Portfolio Strategy
This reference shows how an AI agent can set portfolio strategy goals, plan actions, call tools, and finish with a recommendation or hand-off in a concrete worked example.
AI Agents for Practice Management in Accounting and Tax
A practical reference showing how AI agents handle practice management tasks in accounting and tax, from goal to execution to hand-off.
AI Agents for Practice Management
This page demonstrates a practical AI agent loop for practice management, showing goals, tools, and a concrete worked example from goal to hand-off with audit trails.
AI Agents for PRD Writing in Product Management
Shows the AI agent loop for drafting PRDs in product management, detailing goals, tool use, checks, and a concrete worked example.
AI Agents for PRD Writing
This page demonstrates how an AI agent can plan, assemble, and validate PRD writing tasks, culminating in a concrete worked example from goal to completion.
AI Agents for Precision Farming in Agriculture
This page details how AI agents operate in precision farming, including goal-driven loops, tool use, checks, and a concrete worked example.
AI Agents for Precision Farming
This page shows how AI agents perform goal-driven precision farming tasks, what tools they call, and a concrete worked example from goal to hand-off.
AI Agents for Predictive Maintenance in Manufacturing
Shows a concrete AI agent loop for predictive maintenance in manufacturing, including goals, tool calls, checks, and a worked example with data flows and human checks.
AI Agents for Predictive Maintenance
AI agents for predictive maintenance demonstrate a goal-driven loop that plans, calls diagnostic tools, interprets results, and hands off when needed, with a concrete worked example for asset health optimization.
AI Agents for Premium Audit in Insurance
Shows a practical AI agent loop for premium audit in insurance, including goals, tools, and a concrete worked example with checks and handoffs.
AI Agents for Premium Audit
Shows how an AI agent for premium audit operates: goal-driven planning, tool calls, result checks, and handoffs, plus a concrete worked example and setup guidance.
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.