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 Equipment Maintenance in Oil and Gas
This reference shows AI agents for oil and gas equipment maintenance, detailing goal-driven loops, tool calls, result checks, and handoffs through a concrete worked example.
AI Agents for Equipment Maintenance
This page defines the AI agent loop for equipment maintenance, detailing goals, tools, and a concrete worked example from goal to hand-off to maintenance staff.
AI Agents for Equipment Tracking in Construction
This page shows how AI agents manage construction equipment tracking: goal-driven planning, tool calls, result checks, and handoffs, plus a concrete worked example.
AI Agents for Equipment Tracking
Shows how an AI agent handles equipment tracking tasks, from goal to action, tool use, result checks, and handoff in a repeatable loop with concrete worked example.
AI Agents for Escalation Management in Customer Service
An operational reference showing how escalation-management AI agents plan, employ tools, and hand off when appropriate, including a concrete worked example.
AI Agents for Escalation Management
This page shows how an escalation management AI agent planning, calling tools, checking outcomes, and handing off when appropriate.
AI Agents for ESG and Sustainability Companies
A practical reference showing how ESG and sustainability firms deploy and scale a single goal-driven AI agent across governance, data, and reporting workflows.
AI Agents for ESG and Sustainability
This page shows how an ESG AI agent pursues goals, plans steps, calls tools, checks results, and stops or hands off in sustainability tasks.
AI Agents for ESG Compliance in Legal and Compliance
This page shows how an ESG compliance agent operates in legal work, including goals, tools, loop, and a concrete worked example extended with precise operational detail.
AI Agents for ESG Compliance
This page demonstrates how an ESG compliance AI agent operates from goal to finish, detailing the loop, tool calls, checks, and a concrete worked example with governance checkpoints.
AI Agents for ESG Data Analysis in Capital Markets
This page defines the AI agent loop for ESG data analysis in capital markets, showing roles, tools, decision points, and a worked example from goal to finish.
AI Agents for ESG Data Analysis
This page shows how an AI agent analyzes ESG data, plans actions, calls tools, checks results, and hands off for human review with a concrete worked example.
AI Agents for ESG Reporting in ESG and Sustainability
Shows how an AI agent handles ESG reporting goals, planning steps, calling data tools, validating results, and delivering a compliant draft or handing off for review.
AI Agents for ESG Reporting
This page shows how an AI agent autonomously handles ESG reporting tasks, including goal planning, tool use, result checks, and handoff, with a concrete worked example.
AI Agents for EV Battery Analytics in Automotive
Shows how an AI agent analyzes EV battery data, plans steps, calls tools, and stops with a validated decision and handoff in automotive analytics.
AI Agents for EV Battery Analytics
A practical reference showing how an AI agent for EV battery analytics operates, from goal to tool use, with a concrete worked example and safety checks for maintenance planning.
AI Agents for Event Booking in Hospitality
This page shows how an AI agent handles event booking tasks in hospitality, from goal to execution, with a concrete worked example of initial planning, tool usage, and handoff.
AI Agents for Event Booking
This page shows the AI agent loop for event booking, including goals, tool calls, checks, and when to finish, with a concrete worked example.
AI Agents for Event Marketing in Marketing
This page explains how AI agents handle event marketing tasks, their loop, tools, and a concrete worked example from goal to finish.
AI Agents for Event Marketing
This page defines a goal-driven AI agent loop for event marketing, showing tools, checks, and a concrete worked example from goal to finish.
AI Agents for Exception Management in Logistics
This page defines AI agents for exception management in logistics, showing the agent loop, required tools, and a concrete worked example of goal-driven handling of disruptions and audit trails persistently.
AI Agents for Exception Management
A practical reference showing how an AI agent handles exception management, from goal to finish, with tools, checks, and a concrete performed worked example.
AI Agents for Exit Planning in Private Equity and Venture Capital
AI agents for exit planning in private equity and venture capital demonstrate a goal-driven loop that assembles data, analyzes exit paths, and hands off for governance review.
AI Agents for Exit Planning
This page shows how AI agents can manage exit planning tasks, from goal to tool calls and hand-off, 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.