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 Content Localization in Media and Entertainment
Shows how a goal-driven localization agent plans, calls tools, and validates outputs for media content across scripts, subtitles, and metadata.
AI Agents for Content Localization
Shows how an AI agent handles content localization from goal to finish, including planning, tool use, QA checks, and handoff, with a concrete worked example.
AI Agents for Content Recommendations in Media and Entertainment
This page outlines how AI agents for content recommendations in media and entertainment operate, including goal formation, planning, tool use, result validation, and hand-off to humans where needed.
AI Agents for Content Recommendations
This page explains how AI agents for content recommendations operate, detailing goals, planning, tool use, and decision points, with a concrete worked example.
AI Agents for Content Tagging in Media and Entertainment
This page defines a practical AI agent loop for content tagging in media and entertainment, detailing input, planning, tool use, validation, and hand-off with a concrete worked example.
AI Agents for Content Tagging
This page specifies how an AI agent performs content tagging work, the loop it runs, and a concrete worked example from goal to finish.
AI Agents for Contract Compliance in Defense and Aerospace
Shows how an AI agent handles contract compliance tasks in defense and aerospace, from goal to tool use, through iterative planning and verification, to a final decision with an audit trail.
AI Agents for Contract Compliance
This reference shows how AI agents handle contract compliance tasks, from goal setting to execution, tool use, checks, and handoff, with a concrete worked example.
AI Agents for Contract Lifecycle Management in Legal
AI agents show how to run goal-driven tasks for contract lifecycle management in legal, detailing goals, tools, loop, and a concrete worked example.
AI Agents for Contract Lifecycle Management
This page shows how AI agents perform contract lifecycle management tasks by planning, calling tools, validating results, and handing off when needed, with a concrete worked example.
AI Agents for Contract Management in Oil and Gas
Shows how an AI agent handles contract management in oil and gas, from goal setting to tool calls and hand-off, with a worked example.
AI Agents for Contract Management
This page shows how goal-driven AI agents handle contract management tasks, including planning, tool calls, result checks, and hand-offs, with a concrete worked example.
AI Agents for Contract Negotiation in Procurement
AI agents for contract negotiation in procurement demonstrate a goal-driven loop that plans, calls drafting and analytics tools, verifies results, and hands off when needed.
AI Agents for Contract Negotiation
This page defines the AI agent loop for contract negotiation, detailing goals, tools, stop criteria, and a concrete worked example with data-driven steps and human review points.
AI Agents for Contract Review in Legal
This page explains how AI agents review contracts, outlining the loop, tools, and a concrete worked example from goal to completion.
AI Agents for Contract Review
A practical reference showing how an AI agent handles contract review from goal to finish, including a worked example and required tools.
AI Agents for Control Tower Operations in Supply Chain
A practical reference showing how AI agents manage control tower tasks in supply chain, from goal to tool use and handoff, with a concrete worked example.
AI Agents for Control Tower Operations
Demonstrates how an AI agent plans, calls tools, checks results, and finishes or hands off in a control tower setting with a concrete worked example.
AI Agents for Conversational Commerce in E-commerce
Demonstrates a practical AI agent loop for conversational commerce in e-commerce, showing goal-driven planning, tool calls, result checks, and handoff to a human when needed.
AI Agents for Conversational Commerce
This reference defines goal-driven AI agents for conversational commerce, detailing the agent loop, required tools, and a concrete worked example from goal to finish.
AI Agents for Corporate Actions Processing in Capital Markets
Shows the goal-driven loop for AI agents handling corporate actions processing in capital markets, including tool use, checks, handoffs, and a concrete worked example with deeper operational detail.
AI Agents for Corporate Actions Processing
A practical reference showing how AI agents handle corporate actions processing, including goal-driven loops, required tools, and a concrete worked example from goal to hand-off.
AI Agents for Corporate Strategy Companies
This page explains how to deploy and scale a single AI agent within a corporate strategy firm, including ownership, permissions, and trust-based scope expansion.
AI Agents for Corporate Strategy
A practical reference showing how AI agents pursue corporate strategy goals, how they plan, call tools, interpret results, and hand off when needed.
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.