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 Regulatory Submissions
Shows how AI agents pursue a regulatory submission goal, plan steps, call tools, and hand off when appropriate, with a concrete worked example.
AI Agents for Reinsurance Operations in Insurance
This page shows how AI agents operate in reinsurance operations, detailing the goal-driven loop, tool usage, checks, and a concrete worked example.
AI Agents for Reinsurance Operations
This page demonstrates how goal-driven AI agents manage reinsurance operations, detailing the agent loop and a concrete worked example, expanding data governance and control points.
AI Agents for Release Management in Software and SaaS
This page shows how a goal-driven AI agent handles release management tasks for software and SaaS, from planning to tool calls and handoff, with a concrete worked example.
AI Agents for Release Management
Illustrates a practical AI agent workflow for release management, detailing goals, tools, loop steps, a worked example, and governance to keep humans in control.
AI Agents for Release Notes in Product Management
Shows how AI agents generate, review, and publish release notes in product management, including an end-to-end loop and a concrete worked example.
AI Agents for Release Notes
A reference page showing how AI agents generate, verify, and publish release notes with a concrete worked example of a full agent run.
AI Agents for Remote Diagnostics in Field Service
Shows how an AI agent handles remote diagnostics in field service, from goal to action, including a concrete worked example and required tools, data, and governance.
AI Agents for Remote Diagnostics
This page shows how an AI agent for remote diagnostics operates, including goal-driven loop, required tools, and a concrete worked example of a run from goal to finish.
AI Agents for Remote Patient Monitoring in Healthcare
Shows how an AI agent for remote patient monitoring pursues goals, plans steps, calls clinical and device tools, verifies results, and decides to finish or hand off.
AI Agents for Remote Patient Monitoring
This page explains AI agents for remote patient monitoring, detailing the agent loop, required tools, data flows, and a worked example showing a complete goal-to-finish run.
AI Agents for Renewable Forecasting in Energy and Utilities
This page details how AI agents handle renewable forecasting tasks in energy and utilities, from goal to action, including a concrete worked example and human oversight points.
AI Agents for Renewable Forecasting
A practical reference showing how an AI agent handles renewable forecasting goals, planning steps, tool use, results checks, and hand-off, with a concrete worked example.
AI Agents for Renewal Forecasting in Software and SaaS
Shows how an AI agent handles renewal forecasting in software and SaaS, including goal-driven loop, tools, and a concrete worked example for planning renewals and churn risk actions.
AI Agents for Renewal Forecasting
Shows how an AI agent plans, calls tools, checks results, and hands off in renewal forecasting with a concrete worked example.
AI Agents for Renewal Management in Insurance
This page defines an AI agent loop for renewal management in insurance, detailing goals, tools, stopping conditions, and a concrete worked example.
AI Agents for Renewal Management
This reference shows how AI agents handle renewal management as a goal-driven loop, detailing required tools, decision points, and a concrete worked example from goal to hand-off, with explicit data, actions, and governance trace.
AI Agents for Rent Collection in Real Estate
Shows how a goal-driven AI agent handles rent collection tasks in real estate, including planning, tool use, result checks, and handoff in a concrete worked example.
AI Agents for Rent Collection
This reference shows how AI agents pursue rent collection goals, plan steps, call tools, validate results, and hand off when needed, with a detailed worked example.
AI Agents for Report Generation in Data and Analytics
Demonstrates the AI agent loop for generating data and analytics reports, including goal definition, planning, tool use, result checks, and hand-off with a concrete worked example.
AI Agents for Report Generation
This page shows how AI agents generate reports by goal, plan, tool calls, result checks, and handoffs, with a concrete worked example of a report-generation run.
AI Agents for Research and Insights in Professional Services
A practical reference showing how a goal-driven AI agent can perform research and insights work in professional services, including its loop, tools, and a concrete worked example.
AI Agents for Research and Insights
This reference shows how AI agents pursue research goals, plan steps, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Research Summarization in Capital Markets
This page defines how AI agents perform research summarization in capital markets, detailing goals, tool use, and how to stop or hand off after a finished summary.
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.