AI Agent
An AI agent is software you can hand a task to and reasonably trust to carry it out, flag what's unclear, and tell you when it's done. Unlike chatbots or copilots that respond to prompts one message at a time, an agent works in the background across an entire task, using the platform's tools and data, and stops for human approval at defined gates.
The word "agent" gets applied to everything from a chatbot with a clever prompt to genuinely autonomous software. The difference matters. A true agent is general purpose: it can do anything a person on your team can do in the software, with code instead of clicks. There's a big gap between an agent that can do almost anything on a platform and one that can only do the three things it was wired to do.
Two things make an agent trustworthy for real work. First, depth of teaching: the agent needs domain expertise, encoded as skills that human experts create and validate, rather than relying on a general-purpose AI's best guess. Second, a platform the agent can actually use: the software must be API-first, so the agent can reach every part of the data model instead of a handful of screens.
In carbon accounting and energy management, agents handle work like migrating data from Excel or legacy platforms, processing utility bills, enriching supplier data, and drafting regulatory reports. Governance is what separates enterprise-grade agents from demos: calculations stay deterministic, recommendations cite their sources, nothing is written until a human approves it, and every action lands in an audit trail.
Frequently asked questions
What is an AI agent? +
An AI agent is software you can hand a task to and reasonably trust to carry it out, flag what's unclear, and tell you when it's done. It works across an entire task in the background, unlike chatbots that respond one message at a time.
How is an AI agent different from a chatbot or copilot? +
A chatbot answers questions and a copilot assists while you drive. An agent owns the task end to end: it plans the work, uses the platform's tools and data to do it, and pauses only for human approval at defined checkpoints.
What should I look for when evaluating an AI agent? +
Related terms
AI Skill
An AI skill is detailed written guidance that an agent reads before doing a specific kind of task, including both instructions and context. Skills are reusable expertise: created and validated by human subject matter experts, applied automatically by the agent whenever the task calls for them.
API-First
API-first describes software where every capability is exposed through an API. In plain terms, the API is a universal door that lets software reach every piece of data in the system: sites, meters, emission factors, reports, all of it. When a platform is built this way, an AI agent can walk through any door and do broad, general work on your behalf.
AI in Carbon Accounting
AI in carbon accounting refers to the application of artificial intelligence — including machine learning, natural language processing, and agentic workflows — to automate data collection, classify emission sources, match emission factors, detect anomalies, enrich supplier data, and generate disclosure-ready reports with reduced manual effort.