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AI consulting for your operation in Puerto Rico.

We connect AI to your systems and train your team to use it.

The Gap

Between AI ambition and AI in operation, there’s a gap. We close it.

We work in the space between what AI can already do and what your team uses every day.

88%

of organizations already use AI in at least one function. Only about a third have scaled it beyond pilots.

McKinsey, The State of AI, 2025

30%+

of generative AI projects abandoned after proof of concept: poor data, rising cost, unclear value.

Gartner, 2024 forecast for 2025

95%

of corporate generative AI pilots show no measurable effect on profit and loss. The returns that do exist come from back-office automation.

MIT NANDA, State of AI in Business, 2025

What we integrate

Built on the platforms you already pay for.

The cloud you run on, the models that do the work, and the tools your team opens every morning.

  • Microsoft
  • Azure
  • Google
  • Google Cloud
  • AWS
  • Claude
  • ChatGPT
  • Gemini
  • PostgreSQL
  • GoHighLevel
  • n8n
  • WhatsApp
  • QuickBooks
  • Notion
  • GitHub
  • Supabase
  • Trello
  • Zapier
  • Docker
  • Stripe
  • Vercel

Services

From ambition to operation

Four services. One path from diagnosis to a system that runs in production, built inside your operation from day one and maintained once it is live.

  1. Assessment / Blueprint

    A scored diagnosis of your data, workflows, and team, sequenced into what is worth building first. This is where it starts.

    See the service
  2. Automation & Integration

    We work side by side with your team and build the automation in production, connected to the systems you already use, until it works.

    See the service
  3. Custom Software Development

    The engineering behind everything else: production systems built to last. When what you need does not exist yet, we build it, and training your team on it is part of the delivery.

    See the service
  4. Agent Systems

    We build AI agent systems inside the tools you already use and operate them with you. Each agent has a role and limited permissions, proposes the work, and your people approve it. We keep them tuned as an ongoing service, or train someone on your team to run them.

Where to start

Three ways to start, sized to your operation

Scope follows the size of your operation. We always agree on scope in writing before anything is built.

  1. 01

    Start small

    Ideal for: A small team with one bottleneck you can already name

    • One automation on the tools you already use, in weeks
    • Scope agreed in writing before we start
    • Handoff and training, plus monthly maintenance if you want it

    You leave with: Something working, or a clear first plan.

  2. 02

    Diagnose, then build the first piece

    Ideal for: An established operation with several departments and systems

    • A map of how information moves today
    • Prioritized roadmap and the scope of the first build
    • Or the first implementation, in production

    You leave with: Clarity on what is worth doing, in what order.

  3. 03

    Install and operate

    Ideal for: An operation ready to run on its own systems

    • Your tools and data connected in one place
    • Agents with roles and a person on your team supervising
    • Ninety days together, then monthly operation

    You leave with: An operation that keeps improving month after month, with your team in charge.

What does repetitive work cost you each year?

Seven one-tap questions, no figures to look up. See the estimate in dollars as you answer and get a free report with the calculation line by line.

Contact

Rather write to us?

Tell us what takes the most time in your operation. We reply within one business day.

Sofía is our virtual assistant. She answers on WhatsApp any time, and our team follows up in business hours.

Message Sofía on WhatsApp (opens in a new tab)