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 Capacity Planning in IT Operations
This reference shows how an AI agent performs capacity planning in IT operations, detailing the goal loop, tool calls, result checks, and a concrete worked example.
AI Agents for Capacity Planning in Telecommunications
This page details the agent loop for capacity planning in telecommunications, showing goals, tool use, and a concrete worked example for practical implementation.
AI Agents for Capacity Planning
This reference shows how an AI agent handles capacity planning from goal through tool use to decision, with a concrete worked example showing planning, execution, and handoff.
AI Agents for Capital Markets Companies
This page shows how a capital markets company deploys a goal-driven AI agent, from ownership to tool use and trust-based scope growth, with a concrete worked example.
AI Agents for Capital Markets
This reference shows how an AI agent in capital markets plans, calls tools, checks results, and hands off, with a concrete worked example and clear stop conditions.
AI Agents for Carbon Accounting in ESG and Sustainability
Shows how an AI agent executes carbon accounting tasks in ESG, detailing the loop, tools, checks, and a concrete worked example.
AI Agents for Carbon Accounting
This page demonstrates how goal-driven AI agents perform carbon accounting tasks, outlining the loop, required tools, decision points, and a concrete worked example.
AI Agents for Care Coordination in Healthcare
A practical reference showing how AI agents handle care coordination tasks, how they plan, call tools, validate results, and hand off when needed, with a concrete worked example.
AI Agents for Care Coordination
This page distills what AI agents do in care coordination, how they run, and a worked example showing goal to finish in a single cycle.
AI Agents for Cargo Documentation in Shipping and Maritime
This page explains goal-driven AI agents for cargo documentation in shipping, detailing the loop, tools, and a worked example to show practical implementation.
AI Agents for Cargo Documentation
This page defines how AI agents handle cargo documentation tasks, including planning, tool use, verification, and hand-off, with a concrete worked example.
AI Agents for Carrier Selection in Logistics
Demonstrates how an AI agent selects carriers, plans steps, calls tools, and stops, with a concrete worked example in logistics operations.
AI Agents for Carrier Selection
This page details how an AI agent selects carriers, plans steps, uses tools, and stops with a concrete worked example for carrier selection.
AI Agents for Cart Abandonment Recovery in E-commerce
This page shows how an AI agent pursues a cart abandonment recovery goal, plans steps, calls tools, checks results, and hands off when needed, with a concrete worked example.
AI Agents for Cart Abandonment Recovery
Shows how an AI agent reframes cart abandonment recovery as a goal-driven loop, with tools, checks, and a concrete worked example.
AI Agents for Case Management in Government and Public Sector
This page presents how AI agents drive case management in government, detailing goals, tool use, and decision points through a concrete worked example.
AI Agents for Case Management
This page shows how AI agents partner with human case workers to manage cases end-to-end, including planning, tool use, validation, and hand-off to ensure accountable resolution.
AI Agents for Cash Flow Forecasting in Finance
This page details how an AI agent plans, executes, and revises cash flow forecasts in finance, connecting ERP and banking data, applying models, and auditing actions to produce auditable projections and actionable insights.
AI Agents for Cash Flow Forecasting
This page shows the AI agent loop for cash flow forecasting, including goals, tool calls, checks, and a concrete worked example.
AI Agents for Catalog Management in Procurement
AI agents for catalog management in procurement demonstrate a goal-driven loop: ingest catalogs, validate data, harmonize attributes, update records, and hand off for human approval when rules exceed thresholds.
AI Agents for Catalog Management
A practical reference showing how an AI agent manages product catalogs, plan-acts-tools-check loops, and a concrete worked example from goal to hand-off.
AI Agents for Catastrophe Modeling in Insurance
This page shows how AI agents perform catastrophe modeling tasks in insurance, from goal to action loop to a concrete worked example.
AI Agents for Catastrophe Modeling
This page shows the AI agent loop for catastrophe modeling, including goals, tool calls, checks, handoffs, and a concrete worked example across hazard, exposure, and loss estimation.
AI Agents for Category Management in Procurement
Shows how a goal-driven AI agent manages category strategy in procurement, from goal to tool calls, checks, and hand-off, with a concrete worked example that demonstrates audit trails and governance.
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.