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 Employee Engagement Analysis
This page explains how AI agents analyze employee engagement signals, plan actions, and return a concrete worked example of one agent run from goal to finish.
AI Agents for Employee Helpdesk in Human Resources
A practical reference showing how an AI agent handles employee helpdesk tasks in human resources, from goal to finish, with a concrete worked example.
AI Agents for Employee Helpdesk
This page demonstrates how an AI agent handles employee helpdesk tasks, from goal framing to tool usage, result evaluation, and hand-off in a repeatable loop for real-world support teams.
AI Agents for Employee Onboarding in Human Resources
This page explains how AI agents handle employee onboarding in human resources, showing the goal-driven loop, required tools, and a concrete worked example.
AI Agents for Employee Onboarding
This reference shows how AI agents manage employee onboarding, from goal formulation to tool use, result verification, and hand-off, with a concrete worked example extended to detail the end-to-end loop and governance checks.
AI Agents for Energy and Utilities Companies
This page demonstrates a practical loop for deploying an energy and utilities agent, detailing goals, tools, ownership, and expansion as trust grows across operations.
AI Agents for Energy and Utilities
A practical reference showing how AI agents handle energy and utilities tasks, their loop, tools, and a concrete worked example from goal to finish.
AI Agents for Energy Efficiency in ESG and Sustainability
This page shows how AI agents operate for energy efficiency within ESG and sustainability, detailing goals, tool use, decision points, and a concrete worked example.
AI Agents for Energy Efficiency
A practical reference showing how an energy-use optimization agent works, including loop steps, required tools, and a concrete worked example of goal-driven behavior.
AI Agents for Energy Management in Manufacturing
A reference showing how energy-management AI agents plan, act, evaluate, and hand off control in manufacturing to optimize energy use and maintain production.
AI Agents for Energy Management
A practical reference showing how an energy-management AI agent pursues goals, plans steps, calls tools, checks results, and stops with a concrete worked example that demonstrates the agent loop.
AI Agents for Energy Optimization in Facilities Management
This reference shows how goal-driven AI agents optimize energy use in facilities, detailing goals, tool calls, result checks, and a worked example.
AI Agents for Energy Optimization
This page shows a practical AI agent loop for energy optimization, including goals, tools, checks, and a worked example from goal to handoff.
AI Agents for Energy Trading in Energy and Utilities
Shows how an AI agent for energy trading pursues goals, plans steps, calls tools, and hands off when done, with a concrete worked example.
AI Agents for Energy Trading
A practical reference showing how energy trading AI agents operate, including goals, tool use, loop control, and a concrete worked example from goal to finish.
AI Agents for Engagement Scoping in Professional Services
Shows how an AI agent scopes professional services engagements, from goal to execution, including tool use, checks, and handoffs, with a concrete worked example and explicit stop conditions.
AI Agents for Engagement Scoping
A practical reference showing how an AI agent scopes engagement tasks, runs the loop from goal to action, and delivers a concrete worked example of engagement scoping.
AI Agents for Engineering Documentation in Defense and Aerospace
Shows how an AI agent builds and maintains engineering documentation in defense and aerospace, from goal to finish, with tools, checks, and a concrete worked example.
AI Agents for Engineering Documentation
This page shows how an AI agent plans, calls tools, checks results, and finishes for engineering documentation tasks with a concrete worked example.
AI Agents for Enterprise Risk Assessment in Risk Management
This reference shows how an enterprise risk agent operates: goal-driven planning, tool calls, result checks, and handoffs, with a concrete worked example of risk assessment across domains for regulated environments.
AI Agents for Enterprise Risk Assessment
This page demonstrates goal-driven AI agents for enterprise risk assessment, detailing the agent loop, required tools, data flows, governance, and a concrete worked example from goal to decision.
AI Agents for Environmental Compliance in Mining and Metals
A practical reference showing how environmental-compliance AI agents operate in mining and metals, including planning, tool calls, result checks, and a concrete worked example.
AI Agents for Environmental Compliance
Shows how an AI agent for environmental compliance pursues a goal, plans steps, calls tools, checks results, and hands off when needed, with a concrete worked example.
AI Agents for Equipment Maintenance in Mining and Metals
Shows how an AI agent for equipment maintenance in mining and metals plans, executes, and validates maintenance tasks with real tools and data inputs.
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.