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 Treasury Management in Finance
This reference shows how an AI agent manages treasury tasks, plans actions, calls tools, checks results, and hands off when needed.
AI Agents for Treasury Management
This page demonstrates how AI agents for treasury management operate, including goal-driven loops, tool use, checks, and a concrete worked example within cash forecasting and liquidity planning.
AI Agents for Trend Forecasting in Fashion and Apparel
A practical reference showing goal-driven AI agents for fashion trend forecasting, how they plan, call tools, and hand off with a worked example.
AI Agents for Trend Forecasting
Shows how an AI agent plans, calls data and modeling tools, verifies results, and hands off in trend forecasting, with a concrete worked example and clear stopping rules.
AI Agents for Underwriting in Insurance
This page shows the underwriting AI agent loop from goal to tool use to decision and hand-off, with a concrete worked example.
AI Agents for Underwriting
This reference defines how underwriting AI agents plan, call tools, evaluate risks, and decide when to finalize or hand off for human review.
AI Agents for Upsell and Cross-sell in E-commerce
This page details how AI agents handle upsell and cross-sell in e-commerce, including goal-driven loops, tools, checks, and a worked example from start to finish.
AI Agents for Upsell and Cross-sell
This page defines the goal-driven workflow of AI agents for upsell and cross-sell, the tools they use, how they run, and a concrete worked example from goal to finish.
AI Agents for Usage-based Billing in Software and SaaS
This page details how to build an AI agent loop for usage-based billing in software and SaaS, with a concrete worked example and the required tools and checks.
AI Agents for Usage-based Billing
AI agents for usage-based billing show how an agent plans, calls billing tools, audits usage, and finalizes invoices with traceable decisions.
AI Agents for User Research in Product Management
Shows how an AI agent can conduct user research tasks in product management, from goal formulation to tool use and result handoff, with a concrete worked example.
AI Agents for User Research
This page details how an AI agent can run a user research workflow, from goal to tool execution to hand-off, with a concrete worked example.
AI Agents for Utilization Analysis in Professional Services
This page demonstrates a goal-driven AI agent that analyzes utilization metrics in professional services, shows its planning loop, tool use, checkpoints, and how a human approves final actions.
AI Agents for Utilization Analysis
This page shows how AI agents perform utilization analysis, detailing the goal-driven loop, required tools, and a worked example from goal to stop, with clear roles and decision points.
AI Agents for Value Creation Planning in Private Equity and Venture Capital
This reference shows how an AI agent plans value creation in private equity and venture capital, defining goals, tool calls, result checks, and handoffs, with a concrete worked example.
AI Agents for Value Creation Planning
AI agents for value creation planning demonstrate how an autonomous planner uses goals, tools, and checks to surface actionable value opportunities, assemble a plan, and hand off when governance requires human input.
AI Agents for VAT and GST Filing in Accounting and Tax
This page demonstrates how VAT and GST filing AI agents plan, execute tools, verify results, and hand off tasks within an accounting workflow, with a concrete worked example.
AI Agents for VAT and GST Filing
A practical reference showing how VAT and GST filing agents plan, execute tools, verify results, and hand off tasks in a goal-driven loop.
AI Agents for Vegetation Management in Energy and Utilities
Defines the AI agent loop for vegetation management in energy and utilities, detailing roles, tools, decision points, and a concrete worked example from goal to completion.
AI Agents for Vegetation Management
This page shows how an AI agent for vegetation management sets goals, plans steps, calls tools, checks results, and finishes or hands off, with a concrete worked example.
AI Agents for Vehicle Configuration in Automotive
Shows how an AI agent plans and executes a vehicle configuration task, including tool calls, results checks, and a concrete worked example.
AI Agents for Vehicle Configuration
AI agents for vehicle configuration demonstrate a goal-driven loop: define a config goal, plan steps, call CAD, ERP, and simulation tools, evaluate results, and finish with a ready-to-manufacture specification.
AI Agents for Vehicle Diagnostics in Automotive
This page shows how AI agents diagnose vehicles by planning steps, calling tools, validating results, and handing off when needed, with a concrete worked example.
AI Agents for Vehicle Diagnostics
A practical reference showing how AI agents diagnose vehicle issues, plan steps, call diagnostic tools, verify results, and hand off to humans when needed, with a concrete worked example.
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.