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 Maintenance Scheduling in Facilities Management
This page explains how a goal-driven AI agent schedules maintenance tasks, coordinates tools, and decides when to stop, with a concrete worked example for facilities management.
AI Agents for Maintenance Scheduling
This page details how AI agents manage maintenance scheduling tasks, how they plan, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Maintenance Work Orders in Manufacturing
This page defines how AI agents handle maintenance work orders in manufacturing, showing goal-driven loops, tools, checks, and when to hand off, with a concrete worked example.
AI Agents for Maintenance Work Orders
This page specifies how AI agents handle maintenance work orders: goals, planning, tool use, results checks, and handoffs, with a concrete worked example from goal to finish.
AI Agents for M&A Target Screening in Corporate Strategy
Shows the loop, tools, and a concrete worked example for AI agents screening M&A targets in corporate strategy.
AI Agents for M&A Target Screening
Shows how AI agents perform M&A target screening, detailing goals, tool use, loop execution, and a concrete worked example with outputs and human checks.
AI Agents for Manufacturing Companies
Shows how to choose and deploy an AI agent for a manufacturing company, with a worked example of a company-wide deployment and ongoing governance.
AI Agents for Manufacturing
A practical reference showing how an AI agent plans, calls tools, checks results, and finishes, with a concrete worked example in manufacturing.
AI Agents for Markdown Management in Fashion and Apparel
This page defines a practical AI agent loop for markdown management in fashion and apparel, detailing goals, tools, checks, and a worked example in a concrete context.
AI Agents for Markdown Management
This reference shows how an AI agent can manage Markdown files: parsing, editing, validating, compiling, and auditing docs in a goal-driven loop with concrete, worked example.
AI Agents for Markdown Optimization in Retail
Demonstrates how an AI agent plans, executes, and verifies markdown optimization tasks in a retail catalog workflow.
AI Agents for Markdown Optimization
30-word overview: A practical reference showing how AI agents optimize Markdown content workflows, including goal loop, tool calls, result checks, and a worked example that demonstrates start-to-finish execution.
AI Agents for Market Access in Pharma and Life Sciences
Shows how an AI agent pursues market access goals in pharma, detailing loop steps, tools, checks, and a concrete worked example from goal to decision.
AI Agents for Market Access
A practical reference showing how AI agents pursue market access goals, plan steps, call tools, verify results, and hand off when needed, with concrete examples.
AI Agents for Market Intelligence in Corporate Strategy
This page explains the agent loop for market intelligence in corporate strategy, detailing goals, tools, checks, and a concrete worked example of an agent run from goal to finish.
AI Agents for Market Intelligence
This page defines how AI agents perform market intelligence work, from goal to tool use to handoff, with a concrete worked example of a complete run.
AI Agents for Market Mapping in Private Equity and Venture Capital
Shows how an AI agent runs for market mapping in private equity and venture capital, with a concrete worked example and clear stopping criteria.
AI Agents for Market Mapping
Shows how an AI agent maps market needs and opportunities through goal-driven planning, data integration, and result validation, with a concrete worked example.
AI Agents for Market Research in Marketing
Shows how AI agents perform market research tasks in marketing, detailing the agent loop, tools, governance, and a complete worked example from goal to finish.
AI Agents for Market Research
This page details how market research AI agents set goals, plan steps, call tools, verify results, and hand off when appropriate, with a concrete worked example.
AI Agents for Market Risk Analysis in Risk Management
This page shows how an AI agent performs market risk analysis in risk management, from goal framing to action and hand-off, with a concrete worked example.
AI Agents for Market Risk Analysis
This page shows how AI agents perform market risk analysis, detailing the goal loop, tool use, checks, and a concrete worked example from goal to hand-off.
AI Agents for Market Sentiment Analysis in Capital Markets
Shows how an AI agent executes goal-driven market sentiment analysis in capital markets, detailing loop steps, tools, and a concrete worked example.
AI Agents for Market Sentiment Analysis
This page demonstrates how AI agents run a market sentiment analysis task, detailing goals, tools, decision points, 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.