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 Time and Billing in Professional Services
This page shows how AI agents manage time and billing tasks in professional services, including goal-driven loop, tool calls, result checks, and a concrete worked example.
AI Agents for Time and Billing
AI agents for time and billing demonstrate goal-driven automation for capturing, approving, and invoicing time with auditable steps and tool calls.
AI Agents for Toll and Fine Processing in Transportation and Mobility
Shows how an AI agent handles toll and fine processing in transportation, from goal to action, with a concrete worked example and clear stop criteria.
AI Agents for Toll and Fine Processing
This page describes how AI agents handle toll and fine processing, from goal to execution, including tool use, checks, and hand-offs with a concrete worked example.
AI Agents for Tower Maintenance in Telecommunications
Shows how a goal-driven AI agent handles tower maintenance tasks, tool use, and handoffs with a concrete worked example.
AI Agents for Tower Maintenance
A practical reference showing how AI agents plan, call tools, and verify outcomes to maintain towers, with a concrete worked example.
AI Agents for Traceability in Agriculture
Shows how traceability-focused AI agents plan, execute tool calls, verify results, and hand off when tracking agricultural inputs and outputs.
AI Agents for Traceability
A practical reference showing how AI agents perform traceability work, from goal to action, including a concrete worked example and the required controls.
AI Agents for Trade Finance in Banking
A practical reference showing how AI agents operate in trade finance workflows, including goals, tool use, monitoring, and a concrete worked example from goal to completion.
AI Agents for Trade Finance
This page explains AI agents for trade finance, detailing the goal-driven loop, required tools, and a concrete worked example to show how an agent operates end-to-end.
AI Agents for Trade Promotion Management in CPG
A practical reference showing AI agents for trade promotion management in CPG, detailing the agent loop, required tools, data access, and a concrete worked example from goal to finish.
AI Agents for Trade Promotion Management
This page explains how AI agents handle trade promotion management, detailing the agent loop, required tools, stopping criteria, and a concrete worked example of goal-driven execution.
AI Agents for Trade Reconciliation in Capital Markets
This reference shows how an AI agent performs trade reconciliation tasks in capital markets, detailing goals, loop steps, tools, and a concrete worked example.
AI Agents for Trade Reconciliation
A reference page showing how AI agents perform trade reconciliation tasks, from goal definition to tool calls, decision checks, and handoff with a concrete worked example.
AI Agents for Trade Settlement in Capital Markets
A reference page showing how AI agents handle trade settlement in capital markets, including goal-driven loops, required tools, and a concrete worked example.
AI Agents for Trade Settlement
This page shows how an AI agent for trade settlement plans, executes, and verifies settlement tasks end to end within a regulated clearance workflow.
AI Agents for Transfer Pricing Documentation in Accounting and Tax
This page maps how AI agents handle transfer pricing documentation tasks in accounting and tax, from goal setting to tool use and handoff, with a concrete worked example.
AI Agents for Transfer Pricing Documentation
This reference explains how an AI agent handles transfer pricing documentation tasks, the run loop, and a concrete worked example to guide implementation.
AI Agents for Transportation and Mobility Companies
This page defines a practical AI agent deployment for transportation and mobility firms, detailing ownership, permissions, and trust-based scope growth with a company-wide worked example.
AI Agents for Transportation and Mobility
This page shows how AI agents in transportation pursue goals, plan routes, call tools, validate results, and hand off when needed, with a concrete worked example.
AI Agents for Travel and Airlines Companies
A practical reference showing how a travel and airlines company deploys an AI agent, how it runs, and a concrete worked example at the company level.
AI Agents for Travel and Airlines
Shows how an AI agent handles travel and airline tasks from goal to completion, with a concrete worked example and the required tools, data, and human checks.
AI Agents for Travel Booking in Travel and Airlines
This page details how AI agents handle end-to-end travel booking tasks, including goal setting, plan formation, tool calls, result checks, and hand-off, with a concrete worked example.
AI Agents for Travel Booking
This page shows how travel booking AI agents plan, call tools, verify results, and hand off when appropriate, 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.