Services

Data mining, automation, and AI inside your company

We work inside your CRM, spreadsheets, WhatsApp, and billing, and leave running on its own what your team does by hand today.

How we work

Embedded, not handed off

Most data and automation projects fail the same way: someone writes a 40-page process document, builds against it, and discovers on launch day that the document described how the work is supposed to happen, not how it actually happens.

So we do the opposite. Before anything gets built, we sit with the people doing the job and watch them work — the real WhatsApp thread, the real spreadsheet, the workaround nobody wrote down. It is the same model large companies use when they put their engineers inside a customer's operation instead of taking a spec from outside it: the engineer goes into the systems, sees the real data, and builds right there. We run it inside your company.

It is a model built for large-company budgets. Running it for a company doing one to fifty million a year, without it having to stand up a data team of its own, is the whole point of this business.

We watch before we build

A few days looking at how the work actually flows and what your data says. Almost every time, the expensive problem turns out not to be the one you called us about.

You get a system, not a deliverable

No PDF of recommendations for you to implement. What ships is running software, inside your accounts, with your real data moving through it.

One team, start to finish

No account manager relaying messages to a developer you never meet. The people who watched your operation are the ones who write the code and the ones who answer when it breaks.

It keeps working after launch

Automations break quietly when a tool changes its rules. Monitoring and fault fixing are part of the monthly plans, not an incident you find out about from a customer.

End to end

Process automation

We look at how a key process runs today (quotes, welcoming new clients, reports, payment reconciliation) and build the flow that does it by itself, with the validations and checkpoints it needs to run without anyone pushing it every day.

For whom

Companies repeating the same manual work several times a week that want those hours back.

Use cases
  • New-client welcome with documents that generate themselves
  • Payment reconciliation across your payment provider, bank, and accounting
  • Marketing automation: the campaigns and reminders your marketing team defines, running on their own
  • Your CRM, billing, and support always in sync
Tools

n8n · Make · Zapier · custom code

Your apps, connected

Application integration

We make your CRM, your billing, your store, and your spreadsheets talk to each other. When a ready-made connection doesn't exist, we build the one your company needs.

For whom

Teams with 5 or more tools where someone is still copy-pasting between tabs.

Use cases
  • HubSpot, Notion, and Slack working as one
  • Your store connected to inventory in real time
  • Every booked call creates the contact and notifies the team
  • Older systems connected to modern tools
Tools

n8n · Zapier · custom connections

You make the final call

AI opportunity prioritization

Every opportunity that comes in gets researched and evaluated with AI against what matters to your business: size, urgency, and fit. It lands in your inbox with a summary and a recommendation. You decide who to contact first.

For whom

Sales teams getting more opportunities than they can serve well, needing to prioritize without losing quality.

Use cases
  • A priority order with clear reasons
  • A first-message draft with each customer's context
  • Every opportunity routed to the right salesperson
  • Instant alerts when a high-priority opportunity comes in
Tools

Claude · GPT · HubSpot · Pipedrive

Answers from your documents

AI knowledge assistant

We build an assistant trained on your documentation (Notion, Drive, PDFs, contracts). It answers team questions, helps customers, and handles first-level support. It always cites the source so you can trust the answer.

For whom

Teams losing hours answering the same questions, or companies wanting support that knows their product deeply.

Use cases
  • Internal support: "how do I approve an expense?", "what does my contract say?"
  • A support chat that knows your product and documentation
  • An internal-policy assistant for HR or legal
  • Find any detail in old contracts, proposals, or reports
Tools

Claude · OpenAI · n8n

Your numbers, up to date

Data mining and automated reporting

We connect your sources (CRM, billing, sales, ads), bring years of scattered data into one place, clean it, and hand you your business numbers and the reports that arrive in your inbox on their own. No more hand-building the Monday spreadsheet.

For whom

Owners and leadership making decisions from data split across six different places.

Use cases
  • Your business numbers in one place and up to date
  • Automatic financial reporting: income, spend, cash
  • Alerts when something moves outside the normal range
  • Operations tracking: response times and open items
Tools

Looker Studio · Metabase · Postgres · n8n

The most requested entry point

WhatsApp AI agent

We design and ship WhatsApp AI agents on the official WhatsApp Business API or web chat: they understand context, reply with your business information, book appointments, and hand the conversation to your team when a human is needed. Every conversation is measured.

For whom

Companies that serve customers on WhatsApp and lose sales by replying late, or that want to sell around the clock.

Use cases
  • A quote builder that drafts a basic proposal in the chat
  • 24/7 support that hands complex cases to a human
  • Automatic reminders and confirmations for appointments, payments, and deliveries
  • Follow-up with whoever asked and never came back, without anyone having to remember
Tools

WhatsApp Business · AI · n8n

Paperwork that writes itself

Document automation

We connect your CRM or database to smart templates so every document (quote, contract, proposal, invoice, monthly report) generates itself with the right information, signature included, and reaches the client without anyone copy-pasting 30 fields.

For whom

Companies where someone still opens a Word doc, copies data over, and edits 30 fields for each new quote or contract.

Use cases
  • Sales proposal auto-generated from call notes
  • Contract and terms generated when a deal closes in the CRM
  • Recurring invoicing with per-client personalization
  • Monthly client reports tailored per account
Tools

DocuSign · Google Docs API · Templated · PDFKit · n8n · Notion

How we work

From diagnostic to operation in 5 steps

  1. 01

    30-minute call

    Free. You tell us what gets done by hand, what data is scattered, and which decision you'd like to make with more information. We leave knowing whether it makes sense to continue.

  2. 02

    Diagnostic · $497

    One of our engineers goes into your systems and sits with your team. We see how they actually work, what your data says, which tools fight back, and what gets done twice. Credited toward implementation.

  3. 03

    Design inside your systems

    You get the plan: what gets built, in what order, with which tools, scope and price in writing. Nothing is contracted until you approve.

  4. 04

    Implementation · 50% up front

    We build, integrate, and test inside your accounts. You validate in staging before flipping the switch to production.

  5. 05

    Delivery · 50% on acceptance, then support

    You pay the rest when you accept the working system. From there, monitoring, adjustments, and new iterations as your operation evolves.

∞

After it goes live

Automations are not furniture. They break quietly when a tool changes its rules. Monthly plans start at $150 and cover hosting, monitoring, silent-failure alerts, and included work hours, so the system stays working without you having to notice it stopped.

See plans and pricing
Questions

What people ask before hiring us

What does implementing AI from the inside mean?

That we don't hand you a report or one more tool sitting outside your operation. We go into the systems you already use — your CRM, your spreadsheets, your WhatsApp, your billing — pull out what is in there, clean it, and put it in one place you can decide from, and on top of that we build the automation and the AI that do the work. What ends up running lives in your accounts, with your data, inside your operation.

Do you use n8n, Zapier, or Make?

n8n by default: it is self-hosted, so your data stays on infrastructure you control and the cost does not climb with volume. Zapier and Make are the right call for a small number of simple triggers where the monthly fee is cheaper than the setup, and we will say so when that is the case. Where none of the three fit, we write the integration directly against the API.

How small is too small?

If you have at least one process that eats a few hours a week and follows rules you can explain out loud, it is worth automating. Our core clients are companies doing one to fifty million dollars a year with years of scattered data across the CRM, the spreadsheets, WhatsApp, and billing. Smaller service businesses usually come in through the WhatsApp AI agent or the website.

What does it cost and how long does it take?

The 30-minute call costs nothing. The diagnostic is $497 and is credited toward implementation, same as the $97 Automation Map. The WhatsApp AI agent starts at $997 and the website at $797. Implementation projects are quoted in writing after the diagnostic and are paid 50% up front and 50% at the end, never in monthly installments. Support plans that keep everything hosted and monitored run $150 to $600 a month. Most projects ship in two to six weeks.

Do you work in English or Spanish?

Both, natively, and that matters more than it sounds. If your customers write to you in Spanish and your suppliers invoice you in English, the system has to handle both without switching personality. We serve companies across the United States on US hours, from a US WhatsApp line, and across Latin America.

Who actually does the work?

We do. DataQuimbaya LLC is based in Cheyenne, Wyoming, and the founder is Lizandro Ruiz. Each project gets a team of specialists picked for what has to be built, and the engineer who went into your operation is the one who writes the code and the one who answers when it breaks.

Every week you wait, you decide with less information than your competitors.

In 30 minutes we tell you what to implement first, what it costs, and when it pays back. The call is free.