Polaris AI
Polaris AI processes invoices, documents, WhatsApp messages, and reports 100% on your own servers. No per-token fees. No leaks. It learns from your real operations and stays inside your company for good.
Run it here with your own numbers. Then find out how much of that work Polaris AI can automate.
Your estimate is only the first step. In a Polaris AI Assessment we analyze your real processes to identify where the greatest potential for automation and savings lies. The figure above comes from the numbers you entered, not from a promise on our part.
We analyze your company to identify where AI can save time and automate processes.
We identify the tasks that consume the most time and where people are involved.
We look at how you work today and which systems must remain part of the process.
We identify tasks and processes that Polaris can automate, assist with, or speed up.
We produce an estimate based on the company’s real data.
We prioritize the opportunities and define what would make sense to deploy first.
We run the assessment ourselves: a 30-minute meeting with you, looking at how you work, and afterwards a document with what we found and where we would start. It is not a report generated automatically.
That time does not come out of nowhere: it comes from no longer doing by hand what can already run on its own.
Figures from the pilot we measured, not from a market study. What comes out at your company depends on your volume.
This is the case we have measured in full, end to end. The smallest business of all those we will look at.
Posting every payment received to the books and categorizing it is the same work through another door: roughly 8 more hours a month. It is described in detail, and not yet connected.
Thousands of invoices a month instead of dozens, a quarter that takes days instead of hours, and people out of the office asking where everything is. Where it stops, we do not know: it depends on your volume.
We do not know whether, in your case, it is 150, 500, or many more.
What we do know is where the hours go: organizing what comes in, checking it again, and searching for what was already there. That calculation is done with your numbers, not someone else’s.
Polaris AI is an agentic AI platform installed on your company’s own infrastructure, working over your knowledge, your documentation, and your processes. Not a single piece of data leaves your premises. No never-ending contracts with a cloud provider. No surprises on the bill.
None of your documents ever reaches an AI provider: the model runs on your server. No copies in someone else’s data centers, no prompts traveling to another continent. Designed for GDPR, professional secrecy, and special categories of data.
A one-time hardware investment, a fixed monthly license, unlimited queries. Cost does not scale with usage: your team stops worrying about "asking the AI too much."
It indexes your contracts, invoices, manuals, WhatsApp history, and internal tools. Every answer is grounded in your operations, your vocabulary, and your rules. No public models are trained on your data.
A real product, not mock-ups. These are the product’s own screens, with sample data, translated for this page: the product interface is currently in Spanish.
No fields to fill in, no need to learn where everything lives. Type the question and Polaris answers with what is in your documents.
Whether it arrives by email, as a photo, or dropped into a folder on your computer: it is detected, classified, and filed with its date. And it goes out to Excel or PDF for your accountant in one click.
Polaris detects what needs to be done and leaves it ready, stating which document it acts on. Nothing is filed, recorded, or sent until a person says yes.
The quarter goes out in Excel, CSV, or PDF without searching for anything again, because it was already classified the moment it came in.
When a new document comes in, Polaris notifies you on the desktop and waits. Approving or rejecting is one click; if nobody answers, the notice reaches you on WhatsApp. It is a step in the process, not a setting.
Human approval is not a setting you configure: it is a step in the process, and it cannot be turned off.
A compute unit installed on your servers, connected to the tools you already use. Everything that comes in is classified on-premise — no document ever reaches an AI provider — and nothing is filed or sent until a person says yes.
Four examples of how it is applied, with templates, integrations, and legal groundwork ready. They are not four separate products: it is the same Polaris, adjusted to what comes in and goes out at each kind of business.
Process thousands of invoices a month, keep track of tax deadlines, and answer clients without opening a single document by hand.
GDPR Article 9 compliance for special categories of data, effortlessly. Medical records, scheduling, and reports kept 100% on-premise.
Professional secrecy guaranteed. Case files, contracts, and case law indexed without sending them to the cloud.
Delivery notes, WhatsApp orders, stock control, and routing, automated without touching your existing ERP.
What changes from one industry to another is the type of document and who is allowed to see it, not the way of working. If yours is not in these four cards, the assessment covers it.
Split into three, with no mixing: what is running in production, what is built and depends on an integration or a configuration, and what is still in development. The hours shown are those of the case we measured.
Email is read automatically three times a day, and invoices and delivery notes are recognized with their supplier, number, and date. A photo of a receipt is classified on its own, and so is whatever is dropped into a folder on your computer. Duplicates are detected.
Everything is classified and dated from the moment it comes in, so the quarter goes out filtered and exported to Excel, CSV, or PDF without searching for it again.
Documents go out the same way as the quarter. Revenue does not: no sales source is connected. Payroll is listed, but without amounts and without export.
Looking up an expense and finding an invoice, yes: you ask the way you speak, from the desktop or over WhatsApp. Checking a due date, not yet.
Downloading every payment received, posting it to the books, and categorizing it by service. It is the same work as organizing invoices, with a different entry point. Today no sales source is connected.
Detecting them in email and sending a warning before they pass, with an entry in the calendar. It is built and currently paused.
Request the monthly summary and receive it as a message, Excel, or PDF. It is built; it still needs to be pointed at the document archive, which does hold data.
A customer asks about a service or a price and Polaris answers. Built and shelved: the first customer did not want a customer-facing chatbot.
Today, queries are rules and SQL. Asking in plain language about the entire archive is the improvement with the greatest effect on what already exists.
An order comes in over WhatsApp and is recorded, without anyone typing it in.
The information they need, on their phone, without calling the office. In a three-person business it is not needed; in a company with people in the field, it changes the whole calculation.
Polaris is under active development, and this is what is coming. If any of this is exactly what you need, tell us in the first conversation: customers set the order, not us.
Today, the conversation with Polaris runs over WhatsApp. Telegram is the same work done a second time: same agent, same human approval, another door. For those who prefer not to mix business with their personal number.
Today Polaris distinguishes between management and administration: each sees only what belongs to them, and what can be asked over WhatsApp depends on who is asking. The next role is the sales rep: checking an order or a client file from the field, with no access to anything beyond their remit.
You drop documents into a folder on your computer and Polaris picks them up, classifies them, and files them without anyone pressing a button. The component exists and is paused on purpose: we are still cataloging how many different ways the same document can arrive before we let it loose on yours.
A3, Sage, Odoo, or whichever you use. Today Polaris leaves the work ready for your accountant in Excel, CSV, or PDF; the next step is for it to flow directly into the system where you already keep it.
Polaris watches how it is used and proposes improvements: a purchase worth reviewing, a recurring question that deserves a template, two reports that could arrive together. Each proposal carries its priority and is accepted or dismissed. The window exists; the module that feeds it is built and not yet deployed.
Why would a small or mid-sized business choose on-premise AI over Copilot 365 or ChatGPT Team?
Comparison as of September 19, 2026, based on each product’s public information on that date. Third-party products change; if anything here is no longer accurate, write to us and we will correct it.
| Feature | Polaris AI | Microsoft Copilot 365 | ChatGPT Team |
|---|---|---|---|
| Where the model runs | On your own server | In the Microsoft cloud | In the OpenAI cloud |
| Data leaves the company | Never | Yes, to Microsoft servers | Yes, to OpenAI |
| Cost for 15 users/month | Fixed monthly license, no per-user cost | ~€450 (€30/user) estimated as of May 2026 | ~€375 (€25/user) estimated as of May 2026 |
| Works without internet | Always | Requires a connection | Requires a connection |
// Prices for other vendors are our own estimates as of May 2026, based on their public pricing. Check their official websites for current prices.
A 30-minute session, with no commitment and no sales script. If you have already been through the assessment, we start from there and will not ask you the same things again.
If your question is not answered here, email us at contacto@polaris-ai.es or call us at +34 602 02 58 77.
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