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 Search Relevance in E-commerce
Explains the AI agent loop for search relevance in e-commerce, detailing goals, tool calls, checks, and a concrete worked example that shows concrete steps and decisions.
AI Agents for Search Relevance
Shows how an AI agent, focused on search relevance, decomposes goals, calls tools, and proves results through a concrete worked example.
AI Agents for Security Code Scanning in Software Engineering
This page describes a goal-driven AI agent for security code scanning, its loop, required tools, and a worked example showing end-to-end execution and hand-off criteria.
AI Agents for Security Code Scanning
This page explains how AI agents perform security code scanning: goals, planning, tools, results, and handoff, with a concrete worked example of one agent run.
AI Agents for Security Compliance in Cybersecurity
Shows how an AI agent for security compliance in cybersecurity operates: goal, plan, tool calls, result checks, and handoff, with a concrete worked example.
AI Agents for Security Compliance
AI agents for security compliance illustrate a goal driven loop that enforces policies, gathers evidence, and reports findings with verifiable logs and auditable decisions.
AI Agents for Security Monitoring in Facilities Management
This page defines AI agents for security monitoring in facilities management, detailing the goal loop, required tools, and a concrete worked example from goal to finish.
AI Agents for Security Monitoring
This reference shows how AI agents perform security monitoring tasks, detailing goal-driven loops, tool use, result checks, and a concrete worked example from goal to hand-off.
AI Agents for Seismic Data Interpretation in Oil and Gas
This reference shows the AI agent loop for seismic data interpretation, including goals, tool calls, results checks, and a concrete worked example for oil and gas workflows.
AI Agents for Seismic Data Interpretation
This page shows how AI agents interpret seismic data, outlining goals, tools, and a concrete worked example from goal to finish.
AI Agents for Self-service Analytics in Data and Analytics
This page presents a practical reference on AI agents for self-service analytics in data and analytics, showing the agent loop, required tools, and a concrete worked example.
AI Agents for Self-service Analytics
A practical reference showing how an AI agent for self-service analytics operates, from goal to tool use, with a concrete worked example and clear stopping rules for analysts.
AI Agents for Seller Onboarding in E-commerce
This page details a practical AI agent workflow for seller onboarding in e-commerce, including goals, tools, and a concrete worked example of end-to-end execution.
AI Agents for Seller Onboarding
This page shows how an AI agent handles seller onboarding from goal to completion, including tool usage, decision points, and a concrete worked example.
AI Agents for Sentiment Analysis in Customer Service
This page shows how AI agents handle sentiment analysis in customer service, from goal framing to tool use and handoff, with a concrete worked example.
AI Agents for Sentiment Analysis
Demonstrates how an AI agent performs sentiment analysis from goal setting to action, with tools, checks, and a concrete worked example.
AI Agents for SEO Optimization in Marketing
Shows how an AI agent plans, calls tools, checks results, and finishes for SEO optimization tasks in marketing.
AI Agents for SEO Optimization
A practical reference showing how an SEO optimization AI agent pursues goals, plans steps, uses tools, checks outcomes, and stops or hands off with concrete worked example.
AI Agents for Service Contract Management in Field Service
This page shows how an AI agent handles service contract management tasks in field service, including goal-driven planning, tool use, and result validation with a concrete worked example.
AI Agents for Service Contract Management
This page defines the agent loop for service contract management, with concrete examples of goal-driven actions, tool calls, and human checkpoints to ensure compliance and value.
AI Agents for Service Desk Automation in IT Services and MSP
This page demonstrates how AI agents handle service desk tasks in IT services and MSPs, from goal to execution, including planning, tool use, result checks, and handoff.
AI Agents for Service Desk Automation
A practical reference showing how AI agents handle service desk tasks, including goal-driven loop, tool calls, result checks, and hand-off, with a concrete worked example for automation workflows.
AI Agents for Service Scheduling in Field Service
Shows how an AI agent plans, calls tools, and validates results to schedule field service visits from a goal to completion.
AI Agents for Service Scheduling
This page shows how AI agents schedule service visits by goal planning, tool use, and result verification, with a worked example of the scheduling loop.
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.