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 Spare Parts Planning
Demonstrates a working AI agent loop for spare parts planning, including goal setting, tool calls, result checks, and hand-off with a concrete worked example.
AI Agents for Spend Analysis in Procurement
AI agents for spend analysis in procurement show how a goal-driven agent plans, calls tools, checks results, and ends or hands off in spend optimization workflows.
AI Agents for Spend Analysis
Shows how an AI agent for spend analysis sets goals, plans steps, calls tools, checks results, and stops, with a concrete worked example.
AI Agents for Staff Scheduling in Healthcare
AI agents for staff scheduling in healthcare demonstrate a goal-driven loop: define staffing goals, plan shifts, call scheduling tools, verify results, and hand off when needed.
AI Agents for Staff Scheduling in Hospitality
This reference demonstrates an AI agent that plans shifts, calls tools, checks constraints, and halts, with a worked example for hospitality staff scheduling.
AI Agents for Staff Scheduling
Shows how an AI agent handles staff scheduling, from goal to action, including tool use and human handoff, with a concrete worked example.
AI Agents for Standard Operating Procedures in Operations
This reference shows how goal-driven AI agents manage standard operating procedures in operations, detailing the loop, tools, and a concrete worked example from goal to completion.
AI Agents for Standard Operating Procedures
This page shows AI agents managing standard operating procedures, detailing goal–plan–tool calls–checks–publication, and a concrete worked example from goal to completion.
AI Agents for Store Operations in Retail
A structured reference showing how AI agents operate in store operations, including goal-driven loops, tools, checks, and a concrete worked example for retail workflows.
AI Agents for Store Operations
Shows how an AI agent for store operations plans, executes tools, checks results, and decides to finish or hand off, with a concrete worked example.
AI Agents for Strategic Planning in Corporate Strategy
A practical reference showing how AI agents execute a strategic planning loop in corporate strategy, including tools, checks, handoffs, and a concrete worked example.
AI Agents for Strategic Planning
This page explains how AI agents perform strategic planning by goal-driven loops, tool use, and decision checkpoints, with a concrete worked example of a planning run from goal to hand-off.
AI Agents for Student Enrollment in Education
This reference shows how AI agents handle student enrollment goals, plan steps, call tools, verify results, and decide when to hand off to humans or complete tasks.
AI Agents for Student Enrollment
This page defines how AI agents handle student enrollment tasks, from goal setting to tool use and handoffs, with a concrete worked example of enrollment processing.
AI Agents for Student Retention in Education
This page describes the goal-driven loop of AI agents in boosting student retention, detailing what they can do, how they operate, and a concrete worked example.
AI Agents for Student Retention
This page explains how AI agents execute goal-driven tasks for student retention, including required tools, stopping criteria, and a concrete worked example from goal to finish.
AI Agents for Student Support in Education
A practical reference showing how AI agents handle student support tasks, from goal to finish, with a concrete worked example and clear role boundaries.
AI Agents for Student Support
AI agents for student support demonstrate a goal-driven loop: plan, tool use, result check, and hand-off, with a concrete worked example and explicit stop criteria.
AI Agents for Subcontractor Management in Construction
This page outlines how AI agents manage subcontractors in construction, detailing goals, tools, and a concrete worked example of a complete agent run.
AI Agents for Subcontractor Management
This page shows how AI agents manage subcontractors through goal-driven loops, tool use, and decision points, with a concrete worked example of end-to-end execution.
AI Agents for Submittal Review in Construction
Shows a goal-driven AI agent loop for submittal review in construction, including tool use, checks, and a concrete worked example.
AI Agents for Submittal Review
This page shows how AI agents handle submittal review: goal-driven loops, tool calls, checks, handoffs, and a concrete worked example from goal to completion.
AI Agents for Subrogation in Insurance
This page shows how AI agents handle end-to-end subrogation tasks, including goal formation, tool use, checks, and hand-off, with a concrete worked example.
AI Agents for Subrogation
This page demonstrates how AI agents handle subrogation tasks end‑to‑end, from goal setting to tool invocation and hand-off, with a concrete worked example for reference.
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.