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 Compliance Automation
This page explains the AI agent loop for compliance automation, including goals, tools, checks, and a concrete worked example from goal to finish.
AI Agents for Compliance Monitoring in Legal
Shows how a compliance-monitoring agent for legal work plans, executes checks, and stops with audit-ready results and handoffs.
AI Agents for Compliance Monitoring
This page documents the agent loop for compliance monitoring, showing goals, planning, tool calls, result checks, and hand-off decisions with a concrete worked example for reference.
AI Agents for Compliance Reporting in Nonprofits
A reference page showing how AI agents plan, execute, and review compliance reporting tasks for nonprofits, with a concrete worked example and guidance for startup and operations.
AI Agents for Compliance Reporting
This page shows how AI agents handle compliance reporting tasks, including goal framing, tool invocation, result checks, and handoff points, with a concrete worked example.
AI Agents for Compliance Surveillance in Capital Markets
This page shows how AI agents perform compliance surveillance in capital markets, including the loop, tools, and a concrete worked example from goal to finish.
AI Agents for Compliance Surveillance
This page defines the AI agent loop for compliance surveillance, listing allowed tasks, tool usage, handoff criteria, and a worked example of a full agent run from goal to finish.
AI Agents for Compliance Training in Legal and Compliance
Shows how AI agents for compliance training in legal and compliance operate, including goals, tool usage, checks, and a concrete worked example with roles and outcomes.
AI Agents for Compliance Training
This page shows how AI agents for compliance training plan, execute, and improve training programs, with a concrete worked example from goal to finish.
AI Agents for Configuration Management in Defense and Aerospace
Shows how a goal-driven AI agent performs configuration management in defense and aerospace, including planning, tool calls, checks, and when to stop or hand off with an auditable trail.
AI Agents for Configuration Management in IT Operations
This page demonstrates how AI agents perform configuration management in IT operations, detailing the goal-driven loop, required tools, and a concrete worked example from goal to hand-off in production.
AI Agents for Configuration Management
Shows the AI agent loop for configuration management, including goals, tool calls, checks, and a concrete worked example from goal to finish.
AI Agents for Connected Car Services in Automotive
This reference shows how a goal-driven AI agent operates for connected car services, including planning, tool use, checking results, and handing off when needed.
AI Agents for Connected Car Services
This page shows how a goal-driven AI agent operates in connected car services, including tool use, loop steps, and a concrete worked example from goal to finish.
AI Agents for Constituent Communication in Government and Public Sector
Shows a practical AI agent loop for managing constituent communication tasks in government, including goals, tools, checks, and a concrete worked example.
AI Agents for Constituent Communication
This page outlines the goal-driven loop of AI agents handling constituent communication, the tools they use, safety checks, and a concrete worked example from goal to completion.
AI Agents for Construction Companies
Shows how a construction company deploys an AI agent from goal to hand-off, with ownership, permissions, and trust-based scope growth across the organization.
AI Agents for Construction
AI agents for construction demonstrate goal-driven planning, tool use, and handoffs for site surveys, cost estimates, schedules, and compliance in a concrete worked example.
AI Agents for Consumer Insights in CPG
Demonstrates a goal-driven AI agent workflow for extracting consumer insights from CP G data and turning findings into actionable recommendations.
AI Agents for Consumer Insights
Shows how an AI agent for consumer insights is defined, runs, and ends a session with a concrete worked example and concrete governance for human checks.
AI Agents for Container Tracking in Shipping and Maritime
Shows how an AI agent plans, calls tools, checks results, and stops in container tracking tasks for shipping and maritime operations, with a concrete worked example.
AI Agents for Container Tracking
A practical reference showing how AI agents manage container tracking, from goal to tool use and verification, with a concrete worked example of end-to-end operation.
AI Agents for Content Creation in Marketing
Shows a practical AI agent loop for content creation in marketing, detailing goals, tools, checks, and a concrete worked example.
AI Agents for Content Creation
Shows how AI agents for content creation operate: goals, planning, tool calls, checks, and handoff, with a concrete worked example from goal to finish.
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.