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 Product Catalog Management
Shows how an AI agent manages product catalog data: goals, planning, tools, checks, and when to stop, plus a concrete worked example.
AI Agents for Product Content Creation in Retail
Shows the AI agent loop for product content creation in retail, from goal to finish, with a concrete worked example and required tools and approvals.
AI Agents for Product Content Creation
Shows how AI agents for product content creation operate, from goal to tool calls to finish, with a concrete worked example.
AI Agents for Product Description Generation in E-commerce
A concise reference showing how AI agents generate product descriptions, how they run, and a complete worked example in e-commerce.
AI Agents for Product Description Generation
AI agents for product description generation show a goal-driven loop that plans, calls tools, checks results, and hands off when needed, with a concrete worked example.
AI Agents for Product Innovation in CPG
This page shows how a goal-driven AI agent handles ideation, validation, and packaging design tasks for CPG product innovation, with a concrete worked example of a full agent run.
AI Agents for Product Innovation
This reference shows how AI agents pursue product innovation goals, plan steps, call tools, check results, and hand off when ready, with a concrete worked example.
AI Agents for Product Management Companies
This page presents a concrete, company‑level deployment of an AI agent for product management, detailing ownership, permissions, scope, and trust growth.
AI Agents for Product Management
A practical reference showing how AI agents take on product management tasks, run loops, and produce concrete outputs with a worked example and governance notes.
AI Agents for Product Tagging in Fashion and Apparel
This reference shows how AI agents run a product tagging workflow in fashion, detailing the loop from goal to planning, tool calls, result checks, and hand-off, with a worked example.
AI Agents for Product Tagging
This page defines the loop of an AI agent that tags products, the tools it uses, and a concrete worked example showing goal, plan, actions, and validation.
AI Agents for Production Optimization in Oil and Gas
This page shows how AI agents run for production optimization in oil and gas, detailing goals, tool calls, results checks, and when to stop.
AI Agents for Production Optimization
Shows how production-optimization AI agents form goals, plan steps, call tools, verify results, and hand off when finished, with one concrete worked example.
AI Agents for Production Planning in Food and Beverage
A practical reference showing how an AI agent handles production planning for food and beverage, from goal to handoff, with a concrete worked example and required controls.
AI Agents for Production Planning
Shows a practical AI agent loop for production planning, including goals, tools, checks, and a concrete worked example that ends with a human decision point.
AI Agents for Production Quality in Automotive
This page defines the agent loop for maintaining production quality in automotive plants, detailing goals, tools, handoffs, and a concrete worked example.
AI Agents for Production Quality
Shows how an AI agent improves production quality by planning, using tools, evaluating results, and handing off for final approval, with a concrete worked example.
AI Agents for Production Scheduling in Manufacturing
Shows how an AI agent plans, executes, and verifies a production schedule, with a concrete worked example and clear stopping conditions.
AI Agents for Production Scheduling
This page defines a goal-driven AI agent for production scheduling, detailing the loop, required tools, and a worked example from goal to finish.
AI Agents for Professional Services Companies
Shows how a professional services firm can deploy an AI agent, its ownership, permissions, and gradual trust-based scope expansion with a full worked example.
AI Agents for Professional Services
Shows how a professional services AI agent pursues a goal, plans steps, calls tools, checks results, and finishes or hands off with a concrete worked example.
AI Agents for Program Management in Defense and Aerospace
Shows a practical AI agent loop for defense and aerospace program management, detailing goals, tools, checks, and a worked example with concrete artifacts.
AI Agents for Program Management in Nonprofits
This page shows how a nonprofit program management AI agent operates, including goals, tool usage, and a concrete worked example of a full planning loop.
AI Agents for Program Management
This page details AI agents for program management, showing how goal-driven planning, tool use, and result verification produce concrete work items and handoffs in a program context.
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.