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 Shared Services in Operations
Shows how AI agents perform shared services tasks in operations, from goal to result, with a concrete worked example and clear stopping criteria.
AI Agents for Shared Services
An objective reference showing how AI agents handle shared services tasks, how they plan, call tools, verify results, and hand off when needed through a concrete worked example.
AI Agents for Shelf Analytics in CPG
A practical reference showing how AI agents pursue shelf analytics goals in CPG, the tools they call, and a concrete worked example of execution from goal to hand-off.
AI Agents for Shelf Analytics
This page presents AI agents for shelf analytics, detailing the goal-driven loop, tool calls, and a complete worked example focused on shelf data.
AI Agents for Shelf-life Prediction in Food and Beverage
This page shows the AI agent loop for shelf-life prediction in food and beverage, including goal framing, tool use, result checks, and a concrete worked example.
AI Agents for Shelf-life Prediction
AI agents for shelf-life prediction demonstrate a goal-driven loop that predicts product freshness, plans actions, calls analytics tools, validates results, and provides a ready decision with audit trails for inventory decisions.
AI Agents for Shipment Tracking in Logistics
Shows how AI agents manage shipment tracking by setting goals, planning steps, calling tracking tools, validating results, and handing off when criteria are met in a concrete worked example.
AI Agents for Shipment Tracking
A practical reference showing how an AI agent for shipment tracking plans, calls tools, evaluates results, and completes or hands off tasks with a concrete worked example.
AI Agents for Shipping and Maritime Companies
A practical reference showing how a shipping and maritime company deploys a goal-driven AI agent, manages ownership, permissions, and trust growth across operations.
AI Agents for Shipping and Maritime
This reference shows how AI agents in shipping and maritime operate: goal-driven planning, tool calls, results checks, and a concrete worked example from goal to hand-off.
AI Agents for Shipping Notifications in E-commerce
A reference page showing how AI agents manage shipping notification workflows in e-commerce, from goal planning and tool use to result verification and handoff to humans for edge cases.
AI Agents for Shipping Notifications
This reference shows how AI agents manage shipping notifications, including goals, tools, and a concrete worked example of end-to-end operation.
AI Agents for Shop Floor Operations in Manufacturing
Shows how an AI agent on a factory shop floor plans, calls tools, and validates results to optimize production, with a concrete worked example.
AI Agents for Shop Floor Operations
A practical reference showing how AI agents run on the shop floor, the tools they call, and a worked example from goal to completion.
AI Agents for Site Progress Monitoring in Construction
A practical reference showing how AI agents plan, call tools, and verify progress data for construction site progress monitoring, with a concrete worked example and guardrails for human oversight.
AI Agents for Site Progress Monitoring
Shows how an AI agent driven by a goal tracks construction site progress, plans steps, calls tools, checks results, and hands off when finished, with a concrete worked example.
AI Agents for Site Selection in Pharma and Life Sciences
This reference shows how AI agents pursue site selection goals in pharma and life sciences, detailing loop steps, tool use, and a concrete worked example.
AI Agents for Site Selection
Shows how an AI agent conducts site-selection work, from goal to decision, with a concrete worked example and a clear loop of planning, tool use, and hand-off.
AI Agents for Size Recommendation in Fashion and Apparel
This page shows how AI agents handle size recommendation in fashion, detailing the goal-driven loop, required tools, and a concrete worked example to guide implementation.
AI Agents for Size Recommendation
This page defines AI agents for size recommendation, detailing the agent loop, required tools, and a concrete worked example of sizing decisions.
AI Agents for SLA Management in IT Services and MSP
This page shows how to design an AI agent for SLA management in IT services and MSPs, detailing goal-driven loops, tool use, and a concrete worked example to follow.
AI Agents for SLA Management
A reference that shows how an SLA management AI agent operates, including goals, planning, tool use, checks, and handoff, with a concrete worked example.
AI Agents for Slotting Optimization in Warehousing
This page shows a practical AI agent loop for slotting optimization in warehousing, with tools, data inputs, checks, and a concrete worked example end-to-end.
AI Agents for Slotting Optimization
This page demonstrates how AI agents perform slotting optimization: goal-driven planning, tool use, result checks, and handoff with a concrete 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.