Revenue, automated.

Our Revenue Operations (RevOps) runs all the way to profit. Every deal carries its cost, discount and commission, so margin is visible the day it closes. With that, leadership decides each quarter whether to grow through margin, average ticket or volume, and targets, prices and commissions follow the choice. The business grows where you chose, and a month of strong sales with flat profit gets caught while it can still be fixed.

It starts with the leads you already pay for. Each one gets an owner within minutes, each quote gets a next step with a date, and each closed customer enters a repeat-sale cycle with its own reminders. More of today’s leads close, and past customers come back without a new ad.

From four places. Efficiency: tasks your team repeats every day run on their own. Less manual labour: nobody retypes a quote, a booking or a payment into a second system. Commercial speed: a lead gets an answer in minutes at any hour and the quote goes out the same hour. Operational efficiency: collections, cash close and reports stop depending on one person. We take a baseline in the diagnosis, so the return is measured against your own numbers.

Because the hard part is knowing the process, and your team already knows it. The models are available today through Claude and ChatGPT; what they need is your data, your rules and one clear task. We pick one task that repeats every day, connect it to your systems and put it in production. The second task goes faster, because the data and the rules are already connected.

Access to your numbers, one hour a week from the owner and a named person on each team. We read sales, leads and margins from wherever they live, spreadsheets included, and we sit with the people who sell and collect. The owner’s weekly hour is the one thing we do not negotiate: without it, priorities drift and the system gets built for nobody.

It depends on scope, so we quote after a diagnosis and do not publish a price list. Consulting contracts run a minimum of six months, organized in three-month blocks, and each block has its own scope. Our SaaS apps have their own pricing and no minimum term. The diagnosis shows where your revenue leaks, in your own numbers, before you commit to the build.

We build on the stack you already pay for: your sales software, ERP or DMS, Google Drive and WhatsApp Business. Access is granted to groups, never to individual people, so permissions survive staff changes. Keys and passwords live in a password vault, never in code or shared drives. The business MCP and the AI agents read only what each role is allowed to see, and every agent conversation is logged on the deal.

Yes, when the lead source is captured at the first touch and travels with the deal. We tag every lead with its campaign, channel and entry point, keep that tag through the deal and the invoice, and report cost per sale by campaign. The usual gap is WhatsApp: a chat that starts from an ad loses its source unless the connector records it automatically, so that is the first thing we wire.

We tie it to how they get paid. Leads are assigned only through the system, and commissions count only the deals recorded there. Before that, the system has to give each salesperson something back in the first week: chats logged on their own and follow-ups scheduled for them. When both leads and commissions come from the system, the team works in it.

Against a baseline we take in the diagnosis from your own books and sales records: revenue, margin per unit, cost per sale, time to first reply, conversion per stage and hours spent on manual tasks. Every three-month block closes with the same measures, compared with the baseline and in the same format. You see which part of the change came from more sales and which came from lower cost.

An engineer who works inside the client’s operation. At 100x the same person maps the process with your team, writes the code, deploys it and stays until people use it. Nobody on our team is only technical or only business. Palantir, OpenAI and Anthropic use this model for enterprise AI; we apply it to mid-size dealerships, travel agencies and real estate firms.

MCP (Model Context Protocol) is an open standard that lets AI tools read and act on external systems. A business MCP is your company’s own server: it connects your brand, sales pipeline, WhatsApp, ERP or DMS, know-how and rules, so Claude, ChatGPT or your internal agents answer with your data and respect your permissions. Your team asks in plain language and gets an answer from your own records.

The same engine with a different record at the center. For a dealership it is the deal: lead, test drive, trade-in, financing and DMS in one place. For a travel agency it is the quote: supplier lines, margin per line and the ERP in sync. For a real estate firm it is the unit: price, status, reservation and buyer. Pick the software that holds that record well; we configure Bitrix24 or work on the one you already pay for.

Yes. The team is fully remote and works in English and Spanish. We serve companies in the United States, Mexico, Colombia and the rest of Latin America, with contracts through AMRO LLC, DBA "The 100x Co", in the USA. Industry vocabulary changes by country, from dealer and DMS to concesionario and agencia de autos; the system underneath stays the same.

It is our first mantra: when a task repeats for the fifth time, it gets automated. Before the fifth, we are still learning how the task really works. After the fifth, doing it by hand is a cost you choose to keep paying. In practice this is how we pick what to automate first: the task that repeats most goes first.