How to implement AI agents in your company,step by step

01What an AI agent is and when you need one

An AI agent is a program that reads the information in a process, applies the rules you give it and carries out the steps in the systems your team already uses, such as Excel, the ERP (the system where you record sales and inventory) or your banks. If a case does not fit the rules, it should hand it to a person. It can make mistakes, which is why in this guide a person reviews the work before it goes out. For the full picture, start with AI agents for businesses in Mexico.

Not every process needs an agent. OpenAI's guide suggests looking for three signals: decisions with nuance and exceptions, rules so long they are hard to maintain, and a lot of information in free text or documents. If the process does not clearly meet them, an Excel formula or macro may be enough². Anthropic agrees: look for the simplest solution and add complexity only when it is needed¹.

02Six steps to put your first agent into operation

The steps go in order, and each one leaves something in writing.

1. Pick a single process. Look for one that repeats often, has rules you can write down, has a named owner, and has errors that can be caught and corrected without serious harm. Reconciling bank transactions, quoting from a price list or entering invoices can all qualify, and bank reconciliation that a person reviews has its own article. Leave for later anything that lives only in someone's head.
2. Write the rules the way the person who does the work applies them today. Ask that person to talk through the process out loud with real cases: what they look at first, what they compare, when they hesitate and who they ask. Write down the exceptions. OpenAI recommends starting from procedures and policies that already exist, with small steps, one clear action per step and the out-of-the-ordinary cases anticipated².
3. Give it minimum access and keep a log. Create a dedicated account for the agent, with permission only for what the process needs, and ask for an activity log, which is a record of what it did, when and on what. The details come after this list.
4. Start with a pilot where a person reviews everything. A pilot is a short test with real cases and a fixed scope. The agent prepares the work, and the responsible person reviews every result before it goes out or is recorded. Set how long it lasts and when the agent must hand a case to a person, for example after several failed attempts². Anthropic recommends extensive testing in an environment separate from the live one, with safeguards, because an agent's errors can compound¹.
5. Measure against the manual process. Record what the process looks like today and use the same indicators during the pilot. For the test sample, Anthropic suggests starting with 20 to 50 simple tasks drawn from real failures, without waiting to collect hundreds³. In a company, that means setting aside a batch of recent cases, including the ones that went wrong. Each case needs a clear correct result, and two experienced people should agree on what it is³.
6. Expand in stages. If the pilot met the criteria you set, reduce the review of simple cases, for example to a sample, and keep full review for the doubtful and higher-risk ones. Then add another process. OpenAI observes that teams that move forward incrementally tend to be more successful than those that aim from the start for a fully autonomous agent².

Minimum access and activity log

These are general security practices, valid for any agent and for whoever implements it.

• Dedicated account. Do not lend it a person's login. That keeps what the agent does separate from what your team does, so it can be reviewed separately.
• Minimum permissions. If it needs to read transactions, do not give it permission to change them or send payments. NIST defines least privilege as giving each entity the minimum resources and authorizations it needs to perform its function⁵. OWASP asks you to limit the agent's tools and the permissions of each one⁴.
• Human approval for what matters. OWASP recommends that a person approve high-impact actions before they happen⁴. OpenAI gives canceling orders, authorizing large refunds and making payments as examples².
• A log of every action. OWASP's logging guide asks you to record when, where, who and what for each event⁶. With a dedicated account, the "who" is the agent. OWASP also recommends monitoring that activity to detect improper actions and respond in time⁴.

What to measure and how to compare it

Choose a few indicators and measure them the same way before and during the pilot.

03An illustrative quoting pilot

The example uses made-up figures to show how a pilot is compared with the manual process. It does not describe the results of any company.

The decision to expand rests on three indicators measured the same way before and during the pilot: time per case, corrections and volume handled.

05How to request the 30-minute diagnostic

Omni Agent is Bancorp's AI agents vertical, in Mérida, Yucatán, Mexico. Its agents operate the systems your company already uses, such as Excel, the ERP and your banks, without changing your software. The initial diagnostic lasts 30 minutes, has no cost and is requested over WhatsApp.

Come with three things written down: the process you chose, who does it today and which systems it uses. The diagnostic helps you decide, with information in hand, whether a pilot is worth it, and it does not promise results.