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Fundamental IT Solutions
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AI and automation

We look at how a team works, automate the steps that repeat, and connect AI models where they save real time. Where a wrong answer would cost money, trust or a customer, a person reviews the output before it goes out.

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Scope

What we deliver

  • A review of how your team works, to find the steps worth automating
  • Automations that connect forms, email, databases and messaging
  • AI features built into your product, with logs your team can review
  • Turning photos into structured drafts, such as a menu photo into product listings
  • Assistants that answer questions and act through tools you control, including Model Context Protocol servers
  • A human review step for outputs that customers or money depend on
  • Monitoring of errors, cost and output quality after launch

Stack

What we build it with

Tools we use in production for this kind of work.

  • OpenAI
  • Model Context Protocol
  • TypeScript
  • NestJS
  • PostgreSQL

Work

Projects where we built this capability.

  • B-ticket homepage on a desktop screen, showing the search bar, the city picker and the deal categories.

    Deals and local commerce, Philippines

    B-Ticket

    We built the consumer app, the consumer website and the merchant portal for a deals platform in the Philippines, along with the APIs and payments behind them.

    Read the B-Ticket case study
  • NOMAD Beauty & Skin Care home page on a desktop screen, showing the English version with the Book a consultation and Message us on WhatsApp buttons.

    Beauty and skin care, Kuala Lumpur, Malaysia

    NOMAD Beauty & Skin Care

    We built a website in English, Simplified Chinese and Malay for a skin care studio in Kuala Lumpur, with its services, published rates and a booking path that starts on WhatsApp.

    Read the NOMAD Beauty & Skin Care case study

Questions

Common questions

Which AI models do you use?

We choose a model for each task, based on the data it works with and the cost of running it. The features we have shipped so far use OpenAI models, including vision for reading menu photos.

Will the AI make decisions on its own?

Only where you decide that is acceptable. For payments, customer accounts or anything hard to undo, we keep a person in the loop. On B-Ticket, the menu scanner creates drafts, and the merchant reviews them before anything is published.

Can you automate a process we already run by hand?

Often, yes. The first step is a short review to see which steps repeat and which need a person's judgment.

Contact

Tell us what you are building.

Send us a short description of the product, who will use it and what has to be true at launch. We will tell you plainly whether we are the right team.