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 Putaway Automation in Warehousing
Shows how an AI agent executes putaway tasks in warehousing, from goal outlining to tool calls and result validation, with a concrete worked example.
AI Agents for Putaway Automation
This reference shows how an AI agent handles putaway automation, from goal definition through tool use to completion, with a concrete worked example.
AI Agents for QA Testing in Software and SaaS
Demonstrates an AI agent that plans, executes, and validates QA tests for software and SaaS, detailing tool usage, decision points, and handoffs in a complete loop.
AI Agents for QA Testing
Shows how an AI agent runs QA testing end-to-end: goal formulation, planning, tool calls, result checks, and handoff, with a concrete worked example.
AI Agents for Quality Assurance in Customer Service
Shows how AI agents perform quality assurance in customer service, including goal-driven loops, tool use, checks, and a concrete worked example.
AI Agents for Quality Assurance in Defense and Aerospace
Shows how an AI agent performs quality assurance tasks in defense and aerospace, detailing the loop from goal to hand-off with a concrete worked example.
AI Agents for Quality Assurance
This page shows how a goal driven AI QA agent handles quality assurance tasks end to end, including planning, tool use, result validation, and escalation rules for release readiness.
AI Agents for Quality Control in Chemicals
This page shows how AI agents for quality control in chemicals pursue goals, plan steps, call instruments, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Quality Control
A practical reference showing how a quality control AI agent plans, calls tools, and verifies results through a worked example.
AI Agents for Quality Inspection in Manufacturing
A practical reference detailing how AI agents perform quality inspection in manufacturing, from goal to action, with a worked example and explicit controls and handoffs.
AI Agents for Quality Inspection
This page shows how an AI agent for quality inspection operates from goal to finish, including tool use, decision points, and a concrete worked example with data and outputs.
AI Agents for Quality Management in Operations
AI agents for quality management in operations demonstrate goal-driven loops, tool use, and decision handoffs with a concrete worked example.
AI Agents for Quality Management in Pharma and Life Sciences
This reference shows how goal-driven AI agents perform quality management tasks in pharma and life sciences, detailing the loop, tools, checks, and handoffs, plus a concrete worked example.
AI Agents for Quality Management
This page defines how AI agents can drive quality management work, detailing the goal–plan–tool loop, required tools, and a worked example showing a complete run from goal to output.
AI Agents for Quality Review in Professional Services
Shows how an AI agent executes a quality review loop in professional services, from goal to tool use to handoff, with a concrete worked example.
AI Agents for Quality Review
This page shows how AI agents execute a quality review goal, plan steps, call tools, validate results, and hand off when needed, with a concrete worked example.
AI Agents for Quality Testing in Food and Beverage
A practical reference showing how AI agents perform quality testing in food and beverage, including goals, tool use, and a concrete worked example of a full agent loop.
AI Agents for Quality Testing
This page demonstrates how AI agents can drive quality testing: goals, tool calls, result checks, and handoffs, with a concrete worked example.
AI Agents for Quote Generation in Sales
This reference shows a goal-driven AI agent generating sales quotes by gathering data, applying pricing rules, and obtaining approvals, then finalizing auditable quotes.
AI Agents for Quote Generation
A practical reference showing how AI agents generate quotes, plan steps, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Real Estate Companies
A practical reference showing how a real estate company deploys an AI agent, from ownership and permissions to scaling scope with trust, including a worked company-wide example.
AI Agents for Real Estate
A practical reference showing how AI agents for real estate pursue goals, plan steps, call tools, check results, and finish with a concrete worked example.
AI Agents for Recall Management in Automotive
This page defines the AI agent loop for recall management in automotive and shows a concrete worked example of end-to-end operation.
AI Agents for Recall Management
This page outlines how AI agents manage recall operations, detailing goal-driven loops, tool calls, result checks, and handoffs, plus a concrete worked example showing from goal to final decision in recall management.
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.