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AI agents: scope, controls, and requirements

This guide explains where AI agents may apply: the same questions, quotes and follow-up tasks consume much of the team's day. It covers inputs, human decisions, limits, and metrics worth agreeing.

Miguel Angel Diaz →

What gets built

  • An agent with defined scope and channels
  • Rule-bound qualification and scheduling
  • Permission-limited internal actions
  • An evaluation set and action log

Guide controls and deliverables

  • A permissions matrix and permitted actions
  • A contextual hand-off path
  • Evaluation samples before changes

Operational signs to review

  • The same questions, quotes and follow-up tasks consume much of the team's day
  • Requests remain pending when the team is busy or offline
  • Opportunities go cold because a request is not logged or followed up in time

How an AI agent works

  1. Channel

    The agent connects to an authorized channel, such as WhatsApp, web chat, or email, with a defined hand-off rule.

  2. Knowledge

    It answers from authorized company documents and shows the source when one exists. If it cannot find support or a request falls outside scope, it should hand the request to a person.

  3. Tools

    It can take actions: check availability, book, create a CRM record or send an email. Every action has permissions and limits.

  4. Evaluation

    Before activation, it is tested with a representative set of conversations and expected answers. Later reviews document failures, changes, and hand-offs.

Workflow description

Before

The same questions, quotes and follow-up tasks consume much of the team's day

After

The agent receives a request handling and follow-up request, checks an authorized source, performs a permitted action, or hands it off when it falls outside the rules.

Consulted source, authorized action, hand-off reason, and conversation record.

What the company needs before starting

  • The 20 most frequent questions or requests, each with its correct answer
  • Access to the information the agent needs: catalog, schedule, policies
  • One channel to start with, usually WhatsApp or web chat
  • A person who reviews conversations during initial operation

Common mistakes with agents

  • Letting the agent answer everything

    A useful agent has a written scope and says 'a person will review that' when appropriate.

  • Not connecting it to real data

    Without access to the schedule or inventory, the agent only chats; it doesn't resolve.

  • Launching without evaluation

    Testing with representative conversations before publishing helps detect visible errors and refine the rules.

  • Forgetting the human hand-off

    The hand-off to a person must be immediate and carry the full conversation context.

What to review during operation

  • request handling and follow-up requests with a response or hand-off
  • Hand-off reasons
  • Actions blocked by permissions
  • Sources without available support

Terms worth knowing

Agent
An AI system that, beyond conversing, performs actions with tools within defined rules.
RAG
A technique where the agent searches the company's documents and data before answering, so it doesn't make things up.
Tool
A concrete action the agent can perform: look up, book, register or send.
Evaluation
A set of test conversations with expected answers, used to measure the agent before and after each change.

Frequently asked questions

What can an AI agent do for a company?

It can answer approved questions, qualify requests, book appointments, or run bounded steps when it has a defined source, permission, and hand-off rule.

Can the agent make mistakes?

Yes. Its scope, sources, permitted actions, and hand-off to a person should be written down and tested with representative conversations.

Can it work through messaging or the web?

It can integrate with channels the company authorizes and that allow its privacy, logging, and hand-off rules to be applied.

Which process is slowing your company down?

Describe the AI agents workflow to review in AI agents: input, decision, system involved, and exception owner.

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