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 Project Delivery in Professional Services
This page defines AI agents for project delivery in professional services, detailing goals, tool use, and looped execution with a concrete worked example.
AI Agents for Project Delivery
A practical reference showing how AI agents drive project delivery, with loop steps, tool use, and a concrete worked example of goal to finish.
AI Agents for Project Scheduling in Construction
Shows how an AI agent plans, schedules, and adjusts construction projects, with a concrete worked example and the required tools and checks.
AI Agents for Project Scheduling
This reference shows how an AI agent for project scheduling plans, calls tools, checks results, and stops with a concrete worked example.
AI Agents for Promotion Planning in Retail
Shows how to define goals, plan promotions, run tools, verify results, and hand off in retail promotion planning using AI agents.
AI Agents for Promotion Planning
This page shows how AI agents systematically plan and execute a promotion, detailing the goal loop, tool calls, and a concrete worked example for promotion planning.
AI Agents for Proof of Delivery Processing in Logistics
This page shows how AI agents handle proof of delivery processing in logistics, detailing the goal-driven loop, tool calls, and a concrete worked example for verification and auditing.
AI Agents for Proof of Delivery Processing
This page shows how an AI agent processes proof of delivery data end-to-end, including goal setting, planning, tool usage, validation, and when to stop or hand off to a human reviewer.
AI Agents for Property Management in Real Estate
This reference shows how AI agents handle property management goals, execute planning, tool calls, and decision checks, plus a worked example of a complete agent run.
AI Agents for Property Management
A practical reference showing how AI agents manage property tasks from goal to completion, including a concrete worked example and the required tools and guardrails.
AI Agents for Property Valuation in Real Estate
Shows how an AI agent executes a property valuation task from goal to output, including tool calls, checks, and hand-offs in a real estate context.
AI Agents for Property Valuation
A practical reference showing how AI agents assess property value, plan steps, call tools, verify results, and hand off when needed.
AI Agents for Proposal Generation in Sales
This page shows how an AI agent plans and executes a proposal generation workflow for sales, including goal setting, tool calls, result checks, and handoff in a concrete worked example.
AI Agents for Proposal Generation
AI agents for proposal generation demonstrate the goal-driven loop: gather inputs, plan sections, assemble content, fetch data, review compliance, and deliver a ready-to-submit proposal with audit trail.
AI Agents for Proposal Writing in Professional Services
Shows how AI agents handle proposal writing in professional services, from goal to completed document, with a concrete worked example and guardrails for human oversight.
AI Agents for Proposal Writing
Shows how an AI agent for proposal writing operates: goal planning, tool calls, result checks, and handoff, plus a concrete worked example from goal to finish.
AI Agents for Public Safety Operations in Government and Public Sector
This reference shows how AI agents operate in public safety, detailing goal-driven loops, tool use, checks, and one concrete worked example for government operations.
AI Agents for Public Safety Operations
Shows how a goal-driven AI agent conducts public safety operations, from goal to tool use to handoff, with a concrete worked example.
AI Agents for Public Transit Scheduling in Transportation and Mobility
AI agents for public transit scheduling in transportation and mobility demonstrate goal-driven planning, tool use, and result validation in a concrete scheduling loop with a worked example.
AI Agents for Public Transit Scheduling
This page shows how an AI agent plans, executes, and revises a public transit schedule using tools, checks results, and hands off when needed, with a concrete worked example.
AI Agents for Punch List Management in Construction
Shows how a goal-driven agent handles punch list items, plans steps, calls field tools, verifies results, and hands off when complete, with a concrete worked example.
AI Agents for Punch List Management
A practical reference showing how an AI agent handles punch list tasks, from goal to completion, with a concrete worked example and the required controls.
AI Agents for Purchase Order Processing in Procurement
Shows how an AI agent can process purchase orders in procurement, plan steps, call tools, verify results, and hand off when needed with a concrete worked example.
AI Agents for Purchase Order Processing
A practical reference showing how an AI agent processes purchase orders from goal to decision, with a concrete worked example and requirements for tooling, data, and oversight.
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.