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 Fundraising Campaigns in Nonprofits
A practical reference showing how AI agents run fundraising campaigns for nonprofits, including goal planning, tool use, result checks, and a concrete worked example.
AI Agents for Fundraising Campaigns
This page shows how AI agents plan and execute fundraising campaign tasks, including goal setting, tool use, result checks, and hand-offs, with a concrete worked example.
AI Agents for Government and Public Sector Companies
This page shows how a government/public sector agency deploys a single AI agent, expands its scope with trust, and defines ownership, permissions, and governance milestones.
AI Agents for Government and Public Sector
This page explains how to build goal-driven AI agents for government and public sector tasks, detailing the loop, required tools, and a concrete worked example.
AI Agents for Grading and Assessment in Education
Shows how goal-driven AI agents perform grading and assessment tasks in education, from planning to tool use, result generation, and human handoff in a concrete worked example.
AI Agents for Grading and Assessment
This page explains how AI agents can perform grading and assessment tasks, how they operate in cycles, and a concrete worked example from goal to finish.
AI Agents for Grant Management in Government and Public Sector
A practical reference showing how AI agents handle grant management in government, including goal-driven loops, tool usage, and a concrete worked example.
AI Agents for Grant Management
Shows how an AI agent handles grant management: goal setting, planning, tool use, result checks, and handoffs, plus a concrete worked example.
AI Agents for Grant Writing in Nonprofits
Demonstrates the AI agent loop for grant writing in nonprofits, from goal to finish, with a concrete worked example and tool usage.
AI Agents for Grant Writing
Shows how AI agents pursue grant-writing goals, plan steps, call tools, verify results, and hand off when needed, with a concrete worked example.
AI Agents for Green Procurement in ESG and Sustainability
Shows how AI agents perform goal-driven green procurement tasks, the tools they use, and a concrete worked example from goal to finish.
AI Agents for Green Procurement
This page shows how a goal-driven AI agent performs green procurement tasks from goal to finish, with a concrete worked example and guidance on tools, limits, and human checks.
AI Agents for Grid Management in Energy and Utilities
This page shows how an AI agent governs grid planning, dispatch, and anomaly handling within energy utilities, including a concrete worked example from goal to finish.
AI Agents for Grid Management
This page outlines how an AI agent can manage grid operations, from goal setting to tool use and handoff, with a concrete worked example.
AI Agents for Guest Feedback Analysis in Hospitality
AI agents for guest feedback analysis in hospitality demonstrate a goal-driven loop that extracts insights from reviews and surveys, plans steps, calls tools, and reports actions and results.
AI Agents for Guest Feedback Analysis
This page explains how an AI agent analyzes guest feedback end-to-end, from goal setting and planning to tool execution and result verification, plus a worked example and tool usage details.
AI Agents for Guest Services in Hospitality
A practical reference showing how a guest services AI agent plans, uses tools, checks results, and concludes or hands off in hospitality environments.
AI Agents for Guest Services
This page details goal-driven AI agents for guest services, outlining the agent loop, required tools, stopping criteria, and a concrete worked example from goal to finish at a fictional hospitality property.
AI Agents for Hazard Analysis in Chemicals
This reference shows the agent loop for hazard analysis in chemicals, including goals, tools, checks, and a worked example from goal to finish.
AI Agents for Hazard Analysis
This page details how a hazard analysis AI agent plans, acts, checks results, and hands off, with a concrete worked example from goal to finish.
AI Agents for Healthcare Companies
This page shows how a healthcare company deploys a goal-driven AI agent, detailing ownership, permissions, and scope growth, with a company-wide worked example.
AI Agents for Healthcare
Shows how healthcare AI agents plan, tool-call, verify results, and hand off tasks; includes a concrete worked example and guidelines to build your first agent.
AI Agents for Hiring in Small and Medium Businesses
This page shows how an AI agent can manage end-to-end recruitment for SMBs, including goal-driven planning, tool calls, result checks, and hand-off.
AI Agents for Hiring
A practical reference showing how AI agents for hiring plan, execute tools, verify results, and hand off when a decision is ready.
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.