Guide
AI agents for businesses in Mexico:what they do and don't
Short answer
An AI agent is a system that receives a goal, decides the steps, and uses your company's tools, such as Excel, the ERP, or the bank portal, to reach it. A person sets the rules and reviews what it delivers, because the agent can make mistakes. Omni Agent's agents operate the systems you already use, without changing your software.
What an AI agent is
An AI agent is a system that receives a goal, decides the steps to reach it, and uses your company's tools to carry them out, with rules that a person defines and reviews 12. Inside, it uses a language model, the type of artificial intelligence that understands and writes text, to decide what to do at each step.
Anthropic calls systems agents when the model directs its own process and its use of tools 1. OpenAI describes them as systems that complete tasks on your behalf with a high degree of independence, and it clarifies that a simple chatbot is not an agent 2. Agents pay off where fixed rules fall short: processes with exceptions, rules that are hard to maintain, and documents that need interpreting 2.
The systems it works with
An agent does not ask you to switch software. It works on the tools your team already uses:
- Excel. Orders, price lists, reports, and control sheets.
- The ERP. The system where sales, purchases, inventory, and accounting are recorded.
- Your banks' portals. Where you look up transactions and balances.
When a system offers no direct connection, an agent can operate its screen the way a person would 2. Omni Agent is Bancorp's AI agents vertical, and its agents operate the systems your company already uses, without changing your software.
What changes is the reach of your team. The agent takes the repetitive work, and your people handle more customers, more cases, and decisions they could not get to before.
What tasks an AI agent can take on
Here are eight tasks an agent can take on across Excel, the ERP, and bank portals, and what the person on your team does now.
- Reconcile the bank with your accounting records. The agent pulls the transactions from the bank portal, matches them against the ERP, and flags the ones with no match. Your finance analyst now investigates those differences and proposes adjustments.
- Prepare quotes. The agent builds the quote in Excel with the current price list and leaves it as a draft. Your sales representative now reviews it, negotiates, and follows up with more prospects.
- Enter orders. The agent reads your customers' orders, enters them in the ERP, and flags the ones with incomplete data. Your sales coordinator now looks after those customers and opens new accounts.
- Follow up on collections. The agent checks which invoices are overdue and prepares the reminders as drafts. Your collections lead now calls the difficult accounts and negotiates payment terms.
- Prepare supplier payments. The agent compares each invoice with its purchase order and leaves the matching ones ready. Your accountant now authorizes the payments and negotiates terms with suppliers.
- Build the weekly report. The agent pulls information from several spreadsheets and the ERP into one report. Your manager now reads it, spots what is out of the ordinary, and decides.
- Check entries before the close. The agent looks for missing data, duplicate records, and figures that do not add up. Your accountant now investigates the cause and corrects the process.
- Answer status questions. The agent checks the ERP, tells customers whether their order has shipped, and hands anything that needs judgment to a person. Your customer service representative now resolves the complex cases and looks after key customers.
In all eight, a person decides what gets sent, what gets paid, and what gets adjusted.
AI agent, chatbot, and RPA: how they differ
All three automate work, and they differ in who decides the steps. A chatbot is a program that converses with people by text or voice, and traditional ones follow rules and conversation scripts defined in advance 4. RPA, or robotic process automation, uses software robots that imitate what a person would do on screens and systems, for repetitive tasks with fixed rules 36. RPA robots follow only the processes someone defined for them 3. The agent decides the steps.
| Option | What it does | When it fits | What your team reviews |
|---|---|---|---|
| AI agent | Decides the steps to reach a goal and operates several systems | Processes with exceptions or documents that need interpreting | What it delivers and the cases it hands to a person |
| Chatbot | Converses with your customers by text or voice | Repeated questions that swamp your customer service team | The conversations it did not resolve and its answers |
| RPA | Repeats fixed steps on screens, the same way every time | Stable processes with clear rules | That the defined steps are still the right ones |
The full comparison, with examples, is in AI agent, chatbot, or RPA: which one you need.
What an AI agent does not do
These are the limits worth having clear before you start.
- It can make mistakes. Language models sometimes generate incorrect information, and techniques to reduce it lessen the problem but do not remove it 5. Anthropic also warns that an agent's autonomy brings higher costs and errors that compound 1. That is why a person reviews what it delivers. Also ask for every step to be logged, so you know what it did and can correct it.
- It does not decide for you. Paying, canceling an order, signing, or answering a complaint are decisions for a person. OpenAI recommends human oversight for sensitive, irreversible, or high-risk actions, such as approving large refunds or making payments 2.
- It does not always finish the work. A well-designed agent stops and hands the case to a person when it fails several times or cannot complete the task 2. Ask for that handoff from the design stage.
- It does not fix a process nobody has defined. If everyone does the work their own way, first agree on how it is done.
- It does not give legal or tax advice. It can organize, cross-check, and prepare information. Decisions about tax obligations, contracts, and compliance are made with your accountant or your law firm.
How to get started
You start with a 30-minute diagnostic that has no cost and is requested through WhatsApp. Omni Agent, Bancorp's AI agents vertical, is based in Mérida, Yucatán.
- Message us on WhatsApp. Ask for the 30-minute diagnostic. It has no cost.
- Pick one process. Choose one that involves manual work today in Excel, the ERP, or your bank portals. The one that takes the most time from your team is a good starting point.
- Write down how it is done today. The steps, the systems, and who is involved. If the process is not defined, it helps to clarify it first.
- Define what your team reviews. Decide which decisions stay with people and when they review what the agent delivers.
- Decide the next step with what you now know. The diagnostic does not promise a result.
The step-by-step detail on how an agent is implemented is in How to implement AI agents in your company.
Tell us which process costs you the most time.
Sources
- Building effective agents (Anthropic)Difference between workflows and agents, costs and errors that compound, and pauses for human review.
- A practical guide to building agents (OpenAI)Definition of an agent, when one is a good fit, use of screens when there is no direct connection, and human oversight for high-risk actions.
- What is robotic process automation (RPA)? (IBM)Definition of RPA and how it differs from artificial intelligence.
- What is a chatbot? (IBM)Definition of a chatbot and the difference between chatbots that follow rules and those that use artificial intelligence.
- Reduce hallucinations (Anthropic, Claude documentation)Language models can generate incorrect information, and techniques for reducing it do not remove it completely.
- Robotic process automation (UiPath)RPA as software robots that imitate human actions on screens and systems for repetitive, rule-based tasks.
Keep reading
How to implement AI agents in your company, step by step
A practical guide to getting your first AI agent into operation in six steps. Pick the process, write the rules, set safe access and measure a pilot.
AI agent, chatbot, or RPA: which one you need
What AI agents, chatbots, and RPA each do, how to choose the right one for your process, and when to combine them, with an illustrative example.