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Your operation, upgraded.

We are an AI engineering team in Puerto Rico. We diagnose your operation, build the automation inside the systems you already use, and leave it running with your team. For companies and government agencies.

The Gap

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

Moore’s Law gave us fifty years of machines doubling in power. Adoption never doubled with them. The distance between what the technology can do and what an operation actually runs on is where we work.

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

One sequence, not a menu. Four engagements that take a company from diagnosis to a system running in production, built inside your operation from day one, and keep it running 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.

    How it works
  2. Automation & Integration

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

    How it works
  3. Custom Software Development

    The engineering muscle behind the rest: production systems, not prototypes. When what you need does not exist yet, we build it: and your team is trained on it as part of the delivery, never as an upsell.

    How it works
  4. Agent Operators

    A named operator from our AI and data engineering team, working inside your company and its Kenbori OS tenant. They keep agents, integrations, and connected services aligned with how you actually run, and bring you the decisions that need you.

Where to start

Three ways to start, sized to your operation

Scope follows the size of your operation. Every path ends in a written scope before anything is built.

  1. 01

    Start small

    Fits: A small team with one bottleneck you can already name

    • One automation on the tools you run, in weeks
    • Scope agreed in writing before we start
    • Handoff and training, no dependence on us

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

  2. 02

    Diagnose, then build the first piece

    Fits: An established operation with several departments and systems

    • 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

    Fits: An operation ready to run on its own systems

    • Your tools and data connected in one place
    • Agents with roles and a named human supervisor
    • Ninety days together, then monthly operation

    You leave with: An operation that keeps evolving without a technology department.

If what you need is a single automation from a freelancer or a self-serve tool, we will tell you.

Tell us about your operation

Contact

Let’s talk about your next step

Schedule a free consultation. We’ll show you where AI can transform your operation, and exactly how we’d build it.