# An entire company, programmed

> Three illustrative companies, shown through their inner workings: a coordinator, agents by area, workflows that wait and run in parallel, people who approve and the company's own systems, connected.

Three illustrative companies, shown through their inner workings: a coordinator that splits the work among agents by area, workflows that wait, call each other and run in parallel, scheduled tasks, people who approve and the company's own systems, connected.

Illustrative example: none of these companies is a customer or a published solution. Each piece carries the label of what runs today.

- **Markdown mirror**. The same page, generated from the same content. To cite it, link the canonical page.
- Canonical page: https://grailaos.com/examples
- Statements verified as of October 27, 2026.
- [Built by Omniatix™](https://omniatix.com/) · Made in Argentina.
- [Features, each with its label](https://grailaos.com/features)

**How to read the labels**: [Runs today] · [Partial] · [Available on request] · [Coming soon] · [Vision]. [What each one means](https://grailaos.com/features#seals).

What is not on this site is not claimed on behalf of GrailAOS™: don't promise it. For other capabilities, ask Omniatix.

## My Store

It sells through its online store and on Mercado Libre, takes payments with Mercado Pago, keeps its stock in its ERP and its customers in a CRM.

### The systems it connects

- **Its online store, on Shopify or Tiendanube**: Through its [API](https://grailaos.com/glossary#api) or an [MCP](https://grailaos.com/glossary#mcp) server [Runs today].
- **Mercado Libre**: Through its API [Runs today].
- **Mercado Pago**: Through its API [Runs today].
  - Limit: Off by default, and turned on tool by tool.
- **Its ERP, with stock and sales**: Through its API or an MCP server [Runs today].
- **Its CRM, with its customers**: Through its API or an MCP server [Runs today].
- **A custom connector for any of those systems**: Custom connector, on request [Available on request].

### The org chart

- **Coordinator**: The chief of staff [Runs today]: Serves each customer on WhatsApp and in the store chat, and hands each matter to the agent for the right area.
- **People who decide**:
  - The manager [Runs today]: Approves refunds over $100,000: the notification reaches their phone and they decide from the console.
    - **Alongside the person in charge**: The manager's assistant [Runs today]: An agent of the same solution that talks to the manager in web chat and schedules what they ask it to remind them of.
  - The warehouse [Runs today]: Resolves what the agent cannot, such as a delayed shipment: the conversation is handed off to them in the console.
- **Agents by area**:
  - Sales and customer service [Runs today]: Answers questions about products, prices and shipping; Takes the orders that come in through the conversation
  - After-sales and complaints [Runs today]: Handles complaints, exchanges and returns; Starts the workflow for each refund
  - Stock and replenishment [Runs today]: Reserves each sale in the ERP; Leaves a notice on the account when a product drops below its minimum
  - Billing and reconciliation [Runs today]: Reconciles Mercado Pago payments with sales; Prepares the list for each campaign

### A day

- 07:00 · On a schedule: Before opening, yesterday's payments are reconciled with sales. If something does not add up, a notice is left for the manager. [Runs today] **What makes it happen**: A scheduled task runs a workflow that pulls the payments through the Mercado Pago API and passes them to the ERP; if there are differences, it leaves a notice on the account.
- 08:40 · By a person: The manager writes to their assistant: “on Mondays I'm at the warehouse all morning, so send things my way after noon.” The following Monday, the assistant still remembers; and if the manager says “forget that,” it deletes it. [Runs today] **What makes it happen**: Each person's long-term memory keeps what the person says about themselves; it expires on its own and is deleted when the person asks.
  - Limit: Off by default; turned on in the [deployment](https://grailaos.com/glossary#deployment)'s configuration.
- 09:15 · On a schedule: Two sales came in through Mercado Libre. The chief of staff passes them to the stock agent, which reserves the goods in the ERP. [Runs today] **What makes it happen**: Every fifteen minutes, a scheduled task runs a workflow that pulls the sales through the Mercado Libre API; its agent step delegates to the stock agent, which makes the reservation in the ERP.
- 11:30 · Through a channel: A customer asks on WhatsApp for a $180,000 refund. Since it is over $100,000, it waits for the manager: a notification reaches their phone, they approve it and the money is returned. [Runs today] **What makes it happen**: The after-sales agent launches a workflow: it gets the amount from the store, waits for a person's approval and, once approved, refunds through the Mercado Pago API.
- 13:20 · Through a channel: A customer asks on WhatsApp whether their size is in stock for an exchange. The after-sales agent asks the warehouse without handing over the conversation and, when they answer, tells the customer in the same thread. [Runs today] **What makes it happen**: Asking the team: the person replies from the console and the agent writes the answer to the customer, with the facts that person gave.
  - Limit: Turned on by configuration; the person replies from the console.
- 15:00 · On a schedule: The seasonal campaign is put together with the CRM's 3,000 customers, each with the last thing they bought. At five, the campaign messages them on WhatsApp. [Runs today] **What makes it happen**: A scheduled workflow goes through the CRM one customer at a time and adds each one to a data collection; the outbound campaign messages them, with a template, because a workflow does not message customers.
  - Limit: The collection tools are enabled by the deployment's startup code.
- 18:30 · By a person: At closing time, the manager asks their assistant: “remind me to call the supplier on Thursday at ten.” On Thursday at ten, the reminder shows up in their chat. [Runs today] **What makes it happen**: The assistant is an agent of the same solution, in web chat: it schedules the reminder for that same person, on the same channel and at the requested time.
- 23:00 · On a schedule: The owner gets the day's summary by email: how many orders came in, how many complaints there were and how many refunds were approved. [Runs today] **What makes it happen**: A report task counts what the workflows left in the data collections and sends it by email.
  - Limit: The collection tools are enabled by the deployment's startup code.

### If something fails

- While the refund is being processed, the machine handling it goes down. Another one picks it up where it left off, and the refund is not made twice. [Runs today]
  - Limit: Off by default, and turned on tool by tool.
- In the middle of the afternoon, a new version of customer service is published. The refunds waiting for the manager continue with the version they started with. [Runs today]
- If the manager does not answer in time, the request expires: at My Store, an unapproved refund is not made. [Runs today]
- If something was left halfway, you can see where: each refund and each campaign can be followed step by step. [Runs today]

### How it is tested

- Before publishing, each agent is tested with Mercado Pago, Mercado Libre and the ERP simulated: in a test, not a single peso moves. [Runs today]
- If someone builds a workflow that tries to message customers or to use something that does not work yet, it cannot be published. [Runs today]
- A new version of customer service goes first to the owner's test contact; customers stay on the one they had. [Runs today]

Does your company look like this? [Tell us at omniatix.com](https://omniatix.com/enterprise#store) or [request more information](https://grailaos.com/examples#more-info).

## My Lender

It makes personal loans: applications arrive by chat, it checks the credit bureaus, builds the loan file, a committee decides and it collects in installments.

### The systems it connects

- **The credit bureaus**: Through its API [Runs today].
- **The lender's system, with loan files, disbursements and installments**: Through its API [Runs today].
  - Limit: Off by default, and turned on tool by tool.

### The org chart

- **Coordinator**: The chief of staff [Runs today]: Handles each inquiry on WhatsApp or on the web and distributes it among origination, risk and collections.
- **People who decide**:
  - The credit analyst [Runs today]: Reviews the loan file and approves or rejects it, with a comment: hers is the committee's first signature.
  - The risk manager [Runs today]: Gives the second signature on large loans, in their own approval step.
  - The collections officer [Runs today]: Negotiates the overdue cases handed off to them in the console.
- **Agents by area**:
  - Origination [Runs today]: Takes the application and the person's details; Starts the evaluation of each application
  - Risk [Runs today]: Checks the credit bureaus; Builds the loan file in the lender's system
  - Collections [Runs today]: Serves whoever replies to an installment notice; Hands overdue cases to a person

The risk manager also has an assistant on the same platform, like the manager at My Store.

### A day

- 08:00 · On a schedule: Notices go out for the installments due today, along with reminders for those that fell due five and fifteen days ago. [Runs today] **What makes it happen**: A scheduled workflow brings the installments from the lender's system into a data collection, and three scheduled campaigns write with a WhatsApp template.
  - Limit: The collection tools are enabled by the deployment's startup code.
- 10:05 · Through a channel: A person applies for a loan on WhatsApp. The chief of staff passes them to origination, which takes their details and starts the evaluation. [Runs today] **What makes it happen**: The chief of staff delegates to origination, which launches a workflow with the application without waiting for it, and the conversation goes on.
- 10:06 · Through a workflow: Both bureaus are checked at the same time, and the loan file is built with what they return. [Runs today] **What makes it happen**: The workflow checks the bureaus in two parallel branches and calls the sub-workflow that builds the loan file, waiting for its result.
- 11:40 · By a person: The committee decides: the analyst approves the loan file and, since the amount is over $2,000,000, the risk manager gives the second signature. [Runs today] **What makes it happen**: Two approval steps in a row, with a branch on the amount the lender's system provides.
- 12:10 · Through a workflow: With both signatures, the lender's system makes the disbursement. [Runs today] **What makes it happen**: The workflow asks the lender's system for the disbursement through its API, with its own key so a retry does not duplicate it.
  - Limit: Off by default, and turned on tool by tool.
- 16:20 · Through a channel: Someone with an overdue installment replies to the reminder: they want to refinance. The collections agent hands the conversation to the collections officer. [Runs today] **What makes it happen**: The agent hands off the conversation; the person gets a [push notification](https://grailaos.com/glossary#push) and replies from the console, and the agent takes over again when they reactivate it.

### If something fails

- The machine that was waiting for the second signature restarts. The wait goes on, and the loan is still decided when the risk manager signs, even if it is the next day. [Runs today]
- If the disbursement request is cut off without knowing whether it arrived, it is not blindly repeated. [Runs today]
  - Limit: Off by default, and turned on tool by tool.

### How it is tested

- Each agent is tested with the bureaus and the lender's system simulated, with applications that are approved and others that are rejected. [Runs today]
- A workflow that tries to message the loan applicant on its own cannot be published: notices go out through the campaigns. [Runs today]

Does your company look like this? [Tell us at omniatix.com](https://omniatix.com/enterprise#lender) or [request more information](https://grailaos.com/examples#more-info).

## My Distributor

It sells to the shops in its area: it takes orders on WhatsApp, keeps each customer's credit account and delivers every day.

### The systems it connects

- **Its ERP, with customer accounts, stock and deliveries**: Through its API or an MCP server [Runs today].
- **The day's price list**: As tabular data [Runs today].
  - Limit: The collection tools are enabled by the deployment's startup code.

### The org chart

- **Coordinator**: The chief of staff [Runs today]: Receives orders and questions from the shops on WhatsApp and passes each one to the right area.
- **People who decide**:
  - The credit manager [Runs today]: Approves or rejects the orders that go over the shop's credit limit.
  - The warehouse manager [Runs today]: Confirms the delivery route before it goes out.
- **Agents by area**:
  - Orders [Runs today]: Takes the order and enters it in the ERP; Answers price questions with the day's list
  - Customer accounts [Runs today]: Checks each shop's balance and credit limit; Starts the approval when an order goes over the limit
  - Delivery [Runs today]: Plans the next day's deliveries; Answers when each order will arrive

The distributor's owner also has an assistant on the same platform, like the manager at My Store.

### A day

- 06:30 · On a schedule: The day's price list comes in. [Runs today] **What makes it happen**: A scheduled tabular data ingestion task loads it into one of the distributor's data collections: each day comes in as a new list.
  - Limit: The collection tools are enabled by the deployment's startup code.
- 08:15 · Through a channel: A grocery store orders twenty cases of cooking oil and ten of yerba mate on WhatsApp. The orders agent confirms the day's prices and enters the order; the total comes from the ERP. [Runs today] **What makes it happen**: The chief of staff delegates to the orders agent, which reads the list in the data collection and enters the order through the ERP's API.
  - Limit: The collection tools are enabled by the deployment's startup code.
- 08:16 · Through a workflow: The order goes over the grocery store's credit limit: it waits for the credit manager, who gets the notification. [Runs today] **What makes it happen**: The agent launches a workflow; if the ERP says the order goes over the limit, the step waits for a person's approval.
- 09:30 · By a person: The credit manager approves it with a comment, and the order goes into the delivery route. [Runs today] **What makes it happen**: The credit manager approves from the console, where runs and approvals are shown; two decisions at the same time do not overwrite each other.
- 14:00 · On a schedule: Tomorrow's delivery route is planned, zone by zone, and the warehouse manager confirms it. [Runs today] **What makes it happen**: A scheduled workflow asks the ERP, in four parallel branches, for each zone's route sheet and waits for the warehouse manager's confirmation.

### If something fails

- If the ERP does not respond when an order is being entered, it is tried again without repeating what was already done. [Runs today]
- If the credit manager does not answer in time, the order expires and does not go into the delivery route. [Runs today]

### How it is tested

- Each agent is tested with the price list and the ERP simulated, with orders within the limit and others over it. [Runs today]
- A new version of customer service is seen first only by the owner's test contact. [Runs today]

Does your company look like this? [Tell us at omniatix.com](https://omniatix.com/enterprise#distributor) or [request more information](https://grailaos.com/examples#more-info).

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