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 Fixed Asset Management
Demonstrates a practical, goal-driven AI agent loop for fixed asset management, showing common tasks, tool use, and a concrete worked example from goal to handoff.
AI Agents for Fleet Dispatch in Mining and Metals
Shows how an AI agent plans, negotiates tools, and stops, with a worked example for fleet dispatch in mining and metals.
AI Agents for Fleet Dispatch
Shows how an AI agent autonomously plans and executes a fleet dispatch cycle, including planning routes, assigning vehicles, and re-planning when constraints change.
AI Agents for Fleet Electrification in Transportation and Mobility
Shows how an AI agent plans, calls tools, and evaluates results for fleet electrification tasks in transportation and mobility, with a concrete worked example.
AI Agents for Fleet Electrification
Shows the AI agent loop for fleet electrification planning, execution, and monitoring, with a concrete worked example and clear stopping points.
AI Agents for Fleet Maintenance in Logistics
Demonstrates a goal-driven AI agent for fleet maintenance, detailing loop, tools, and a concrete worked example across planning, execution, and audit.
AI Agents for Fleet Maintenance
This page shows how an AI agent can manage fleet maintenance tasks, from goal to tool use and hand-off, with a concrete worked example.
AI Agents for Fleet Management in Transportation and Mobility
This reference shows how AI agents plan, execute, and hand off fleet tasks, with a concrete worked example for transportation and mobility operations.
AI Agents for Fleet Management
Shows how a goal-driven AI agent for fleet management plans, calls tools, checks results, and finishes or hands off with a worked example.
AI Agents for Fleet Telematics in Automotive
This page shows how an AI agent handles fleet telematics tasks, from goal through tool calls to a final decision, with a concrete worked example.
AI Agents for Fleet Telematics
Shows how AI agents pursue fleet telematics goals, selecting tools and handing off when needed, plus a concrete worked example of a full agent run from goal to finish.
AI Agents for Flight Disruption Management in Travel and Airlines
This page models the loop of an AI agent handling flight disruption management, detailing goals, tools, checks, and a concrete worked example for travel and airlines.
AI Agents for Flight Disruption Management
This page shows how AI agents for flight disruption management plan, act, and verify actions across gate, lounge, and rail connections.
AI Agents for Food and Beverage Companies
AI agents for food and beverage companies demonstrate a goal-driven deployment, ownership, permissions, and trust-based scope expansion across core operations.
AI Agents for Food and Beverage Operations in Hospitality
This page shows how AI agents perform goal-driven tasks in food and beverage operations, including planning, tool use, validation, and handoff in hospitality workflows.
AI Agents for Food and Beverage Operations
Demonstrates the AI agent loop for food and beverage operations, detailing goal handling, tool calls, verification, and a concrete end-to-end worked example for dining and kitchen use.
AI Agents for Food and Beverage
A practical reference showing how AI agents handle goal-driven tasks in food and beverage, including tool use, loops, and a complete worked example from goal to finish.
AI Agents for Food Safety Compliance in Food and Beverage
This page shows how a goal-driven AI agent handles food safety compliance tasks from goal receipt to tool use, checks, and hand-off with a concrete worked example.
AI Agents for Food Safety Compliance
Shows how a goal-driven AI agent processes a food safety compliance task, from goal receipt to tool usage and handoff, with a concrete worked example.
AI Agents for Forecasting Models in Data and Analytics
Defines a practical AI agent loop for forecasting models in data and analytics, detailing goals, tools, stopping criteria, and a concrete worked example with provenance.
AI Agents for Forecasting Models
This page demonstrates how AI agents forecast models operate: goal setting, planning, tool use, result checks, and handoff, with a concrete worked example showing end-to-end execution.
AI Agents for Formulation Development in Chemicals
This page shows a practical AI agent loop for chemical formulation development, detailing goals, tools, checks, and a worked example from goal to finish.
AI Agents for Formulation Development
A concise reference showing how AI agents drive formulation development tasks, including goal planning, tool calls, result checks, and a concrete worked example.
AI Agents for Founder Screening in Private Equity and Venture Capital
This page shows how AI agents screen founders in private equity and venture capital, outlining goals, tools, and 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.