Definition
An AI agent is a software system that uses an AI model to complete a defined job end to end - reading inputs, making decisions, and taking actions across your tools and systems - with limited or no human intervention for each step.
How an AI agent is built
An AI agent pairs a reasoning model with three things: access to your systems (a CRM, an inbox, a database), a set of tools or functions it is allowed to call, and instructions that define its job and its limits. Given a task, it interprets the request, plans the steps, executes them against real systems, and reports back or hands off when it hits a boundary you set.
Examples in a revenue operation
- A lead-qualification agent that enriches, scores, and routes inbound leads the moment they arrive.
- A reporting agent that assembles a weekly pipeline summary from the CRM and flags at-risk deals.
- A support agent that drafts responses, pulls order data, and escalates edge cases to a human.
Agent vs. assistant
An assistant waits to be asked and helps a person do a task faster. An agent is assigned the task and does it, checking in only when it needs a decision or hits an exception. The line matters because agents require more careful scoping, permissions, and monitoring - they act on your systems rather than just advising you.
Frequently Asked Questions
What is the difference between an AI agent and a workflow automation?
A workflow automation runs a fixed sequence of steps. An AI agent decides which steps to take based on the situation, so it can handle inputs and exceptions that a rigid automation cannot.
How many AI agents does a firm typically need?
Most firms start with one agent tied to a single high-volume, well-defined job, then add agents as each proves out. The number is driven by how many repetitive, multi-step processes you run, not by a target headcount.
Do AI agents replace employees?
In practice they usually absorb the repetitive, system-to-system work that consumes staff time, which lets a team scale output without proportional hiring rather than eliminating roles outright.
Related
Operators and teams we've worked with
Put this into practice
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