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 Market Sizing in Product Management
This page shows how AI agents perform market sizing in product management, detailing the agent loop, required tools, and a concrete worked example.
AI Agents for Market Sizing
A practical reference showing how AI agents perform market sizing tasks, including goals, tools, execution loop, and a concrete worked example.
AI Agents for Marketing Analytics in Marketing
A practical reference showing how AI agents run for marketing analytics: goals, tools, loop steps, and a concrete worked example with concrete data and outputs.
AI Agents for Marketing Analytics
A practical reference showing how AI agents drive marketing analytics work, the loop from goal to tool use to outcome, and a concrete worked example.
AI Agents for Marketing Companies
A practical reference showing how marketing companies deploy AI agents, the ownership, permissions, and scope growth as trust builds, with a company-level worked example.
AI Agents for Marketing
This page shows how AI agents execute marketing goals, plan campaigns, call tools, verify results, and hand off for human review, with a concrete worked example that illustrates the loop.
AI Agents for Marketplace Operations in E-commerce
Shows how AI agents perform marketplace operations in e-commerce: goal-driven loops, tools, checks, and a concrete worked example of end-to-end execution.
AI Agents for Marketplace Operations
AI agents for marketplace operations demonstrate goal-driven workflows that manage listings, pricing, inventory, order routing, and dispute handling with tool calls and result checks.
AI Agents for Master Data Management in Data and Analytics
This page shows how an AI agent performs master data management tasks in data and analytics, detailing goals, tools, loop steps, and a concrete worked example.
AI Agents for Master Data Management
This page shows how a goal-driven AI agent performs master data management tasks, plans steps, calls tools, checks results, and decides when to stop or hand off to a human expert.
AI Agents for Media and Entertainment Companies
This page defines how a media and entertainment company deploys a goal-driven AI agent, including ownership, permissions, and gradual trust-based scope expansion with a worked example.
AI Agents for Media and Entertainment
This page shows how goal-driven AI agents operate in media and entertainment, detailing the agent loop and a concrete worked example from goal to finish.
AI Agents for Medical Affairs in Pharma and Life Sciences
This page defines the loop of goal-driven AI agents in medical affairs for pharma and life sciences, with a concrete worked example showing planning, tool use, and human handoff.
AI Agents for Medical Affairs
Shows how a goal-driven AI agent operates in medical affairs, including planning, tool use, result checks, and a concrete worked example with approvals.
AI Agents for Medical Coding in Healthcare
This page demonstrates how AI agents perform medical coding tasks in healthcare, detailing the agent loop, required tools, and a concrete worked example from goal to finish.
AI Agents for Medical Coding
Shows how AI agents perform medical coding tasks, from goal to tool use to verification, with a concrete worked example.
AI Agents for Medical Records Summarization in Healthcare
A practical reference showing the goal-driven loop, tools, and a concrete worked example for AI agents that summarize medical records in healthcare.
AI Agents for Medical Records Summarization
This page explains how to build AI agents for medical records summarization, detailing the agent loop, required tools, data flows, and a concrete worked example to show practical execution.
AI Agents for Medical Supply Management in Hospitals
A practical reference showing how an AI agent manages hospital medical supply chains, including goals, tools, loop steps, and a full worked example from goal to hand-off.
AI Agents for Medical Supply Management
This page shows how AI agents manage medical supply chains, including goals, tools, and a worked example of one end-to-end run.
AI Agents for Medical Writing in Pharma and Life Sciences
Shows how AI agents handle medical writing tasks in pharma and life sciences, from goal to tool use and handoff, ending with a worked example.
AI Agents for Medical Writing
Shows how an AI agent for medical writing runs from goal to finished manuscript, with tool use, checks, and a concrete worked example.
AI Agents for Meeting Preparation in Sales
This page explains how AI agents organize meeting prep for sales, including goals, tool use, and governance, with a concrete worked example of one run.
AI Agents for Meeting Preparation
A practical reference showing how an AI agent handles meeting preparation from goal to handoff, including planning, tool use, and a 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.