Custom software, built with AI at every stage.

Between MXN $15,000 and $45,000 to build a bot that answers frequent questions without connecting to other systems, plus $1,000 to $3,500 a month to run it. If it also qualifies leads, books appointments and talks to your CRM, the range goes from $45,000 to $120,000, with $3,000 to $9,000 monthly.

What moves the price is not the bot, it is the integrations. One that only answers takes two or three weeks; one that has to read your live inventory and write into your booking system is a software project. Full ranges by project type are in this article.

A landing page runs MXN $12,000 to $40,000; a five to ten section corporate site, $30,000 to $95,000; an online store with catalog, cart and payments, $60,000 to $250,000. A custom web app starts at $120,000.

Below the low end you are almost always buying a template with your logo on it — sometimes that is exactly what you need, but you should be told. The full breakdown, including what is rarely included, is in this article.

A landing page, two to three weeks. A chatbot connected to your systems, four to eight. A full platform like MediCita, three to eight months.

The factor that moves the needle most isn't the code: it's how organized your information is and how fast questions get answered on your end.

Five things: a Meta Business account with a verified company, a phone number not active in the WhatsApp Business app, a website whose name and domain match your documents, a published privacy notice — required in Mexico under the LFPDPPP — and someone to connect the API to your operation.

The technical side takes one to three weeks. Verification depends on Meta and on how tidy your paperwork is: it can clear in days or take two weeks of back and forth. Step by step in this guide.

Yes. The AI Buffet starts at USD $300 per service per month and drops to $200 when you pick five or more. It covers contained pieces like an AI landing page, a custom chatbot or an n8n automation.

It is the most common door: start with one service, see whether the return shows up, and decide from there whether a fixed-scope project is worth it.

It helps a lot, but it is not a requirement. The rule we use is 400 minutes: if a repetitive task eats more than 400 minutes a month — about seven hours — automating it almost always pays for itself. Below that, waiting is usually the better call.

What you do need is a task with clear rules. A process everyone does differently cannot be automated: it gets defined first, and that happens during discovery. The seven processes with the best return are in this article.

You do, once paid off. Repository, service accounts, and database are under your company's name from the start of the project, not at the end.

It's a deliberate stance: if you ever decide to work with someone else, we don't want the cost of leaving to be starting from zero. A provider that holds onto your access didn't sell you a solution, they rented you a dependency.

We use it throughout the whole process, and it's exactly what lets us charge what we charge and deliver when we deliver.

Quality isn't defined by the tool but by the review. Everything that ships goes through testing and human review before touching production. AI writes fast; deciding what gets built and verifying it's right is still human work.

Yes, and it's optional. Every project includes a warranty period covering our own errors at no extra cost.

After that you can contract a maintenance and improvements retainer, or take it in-house with your own team. We deliver documentation with that second case in mind, not just the first.