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 Investment Memo Drafting in Private Equity and Venture Capital
A concise reference showing goal-driven AI agents for PE/VC investment memos, detailing loop execution and a concrete worked example.
AI Agents for Investment Memo Drafting
Shows the AI agent loop for drafting investment memos, including goals, tools, and a complete worked example from goal to finish.
AI Agents for Investor Presentations in Corporate Strategy
Demonstrates how an AI agent builds, reviews, and delivers investor decks for corporate strategy, with a concrete worked example, tool calls, and governance checks.
AI Agents for Investor Presentations
AI agents for investor presentations demonstrate a goal-driven loop: goal receipt, plan, tool calls, result checks, and delivery of a slide-ready investor deck with notes and auditing trail.
AI Agents for Investor Relations in Capital Markets
This page shows how AI agents run in investor relations for capital markets, including goal-driven planning, tool usage, and a concrete worked example of a complete cycle.
AI Agents for Investor Relations
This page defines a goal-driven AI agent for investor relations, showing how it plans, calls tools, verifies results, and hands off when appropriate, with a concrete worked example.
AI Agents for Invoice Processing in Finance
A practical reference showing how AI agents process invoices in finance, covering goals, tool use, and a worked example from goal to finish.
AI Agents for Invoice Processing
A practical reference showing how an AI agent processes invoices: goal handling, planning, tool calls, checks, and when to stop, with a concrete worked example.
AI Agents for Invoicing in Small and Medium Businesses
Shows how an AI agent processes an invoicing goal, plans steps, calls tools, checks results, and completes or hands off in a small/medium business context.
AI Agents for Invoicing
This reference shows how an invoicing AI agent operates, from goal through tool calls to completion, with a concrete worked example that demonstrates the loop and handoffs.
AI Agents for IP Management in Legal
This page demonstrates a goal-driven AI agent handling IP management tasks in legal, detailing the loop from goal to tool use, checks, and handoff, with a concrete worked example.
AI Agents for IP Management
A practical reference showing how AI agents manage intellectual property tasks, run the loop from goal to tool use and verification, and a detailed worked example for IP management workflows.
AI Agents for Irrigation Management in Agriculture
This page details how irrigation management AI agents set goals, plan actions, call field tools, evaluate results, and hand off when appropriate, with a concrete worked example.
AI Agents for Irrigation Management
This reference shows goal-driven AI agents managing irrigation, detailing goals, loop, tool use, and a worked example from start to finish with practical checks and auditable results.
AI Agents for IT Operations Companies
This reference shows how to deploy an IT operations agent, who owns it, its permissions, and how its scope grows as trust is earned in an enterprise setting.
AI Agents for IT Operations
This page shows how a goal-driven AI agent operates in IT operations, detailing the loop, tools, and a concrete worked example to illustrate planning, execution, and handoff.
AI Agents for IT Service Management in IT Operations
This page shows a practical AI agent loop for IT service management in IT operations, detailing goals, tools, stopping criteria, and a concrete worked example of incident handling.
AI Agents for IT Service Management
A practical reference showing how IT service management agents plan, execute tool calls, validate results, and hand off when goals are met, with a concrete worked example.
AI Agents for IT Services and MSP Companies
Shows how an IT services firm selects, grants, and evolves a single AI agent to run operations end to end within an MSP environment.
AI Agents for IT Services and MSP
This page defines a practical AI agent loop for IT services and MSPs, detailing goal-driven behavior, tool usage, stop conditions, and a worked example of a complete agent run.
AI Agents for Itinerary Planning in Travel and Airlines
Shows how an AI agent plans multi-leg itineraries for travelers, integrates data sources, and hands off when a decision requires human review.
AI Agents for Itinerary Planning
This page shows how a goal-driven AI agent plans an itinerary, selects tools, evaluates results, and hands off when needed, with a concrete worked example.
AI Agents for Key Risk Indicators in Risk Management
This page defines how AI agents monitor and manage key risk indicators, showing the goal-driven loop, tool calls, checks, and a concrete worked example for risk management.
AI Agents for Key Risk Indicators
This page shows how AI agents handle key risk indicators, detailing the goal-driven loop, required tools, and a concrete worked example from goal to hand-off.
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.