ANDRÉS RAMÍREZDIGITAL ARCHITECTTell me the problem

METHOD / PROBLEM → SYSTEM

Give me the problem.
I design and build the system.

You bring the problem, the data, the constraints and the outcome you need. I decide what to build, how the pieces fit together and which technology makes sense.

Tell me the problemView case studies
From problem to systemThe problem, the data, the constraints and the objective converge in one system that integrates software, data and artificial intelligence.01PROBLEM02DATA03CONSTRAINTS04OBJECTIVESYSTEMSOFTWAREDATAAIFrom problem to systemThe problem, the data, the constraints and the objective converge in one system that integrates software, data and artificial intelligence.PROBLEMDATACONSTRAINTSOBJECTIVESYSTEMSOFTWAREDATAAI

02 / INPUTS

PROBLEM · DATA · CONSTRAINTS · OBJECTIVE → SYSTEM

These are the questions I will ask you. You do not need every answer: finding them is also part of the work.

  1. 01 — PROBLEM

    The problem

    • What is not working today?
    • What costs too much time or money?
    • What cannot be done today but should be possible?
  2. 02 — DATA

    The data

    • What information exists, and where does it live?
    • Which tools and systems are involved?
    • What state is that data in?
  3. 03 — CONSTRAINTS

    The constraints

    • What budget and deadlines are there?
    • What has to keep working as it is?
    • Are there regulations, teams or vendors that set limits?
  4. 04 — OBJECTIVE

    The objective

    • What has to happen for this to be worth it?
    • Who will use the system, and for what?
    • How will we know it works?
FIG. 02From a raw problem to a running system
A five-stage sequence that turns an irregular shape into a piece of a running system

03 / PHASES

From the first conversation to a system in production.

Six phases. The first one can end with «nothing needs to be built».

  1. 01 — UNDERSTAND

    Understand

    Understand the business problem before choosing technology. If nothing needs to be built, you hear it here.

  2. 02 — DESIGN

    Design

    Architecture, data model, integrations, boundaries and priorities. What to build, in what order and, above all, what not to build.

  3. 03 — BUILD

    Build

    Build the system in small, verifiable pieces, with AI as an execution tool and judgment as the guide.

  4. 04 — VERIFY

    Verify

    Test it against real data, real workflows and real constraints before anything is considered done.

  5. 05 — HAND OVER

    Hand over

    The repository, credentials and data belong to the client. You own the system from day one.

  6. 06 — EVOLVE

    Evolve

    A useful system keeps changing as the business changes. I can keep supporting it after launch.

04 / RESPONSIBILITY

AI increases execution capacity. It does not replace architectural responsibility.

Coding agents let one person build far more than before. Someone still has to decide what to build, how it fits and whether it tells the truth.

The leverage has changed. The responsibility has not.

  • A direct relationship with Andrés. You talk to the person who designs the system, builds it and answers for it.
  • No account-manager layer. No sales team and no hand-offs between people who each hold part of the context.
  • Architecture before implementation. The data model and the boundaries are decided before code multiplies them.
  • Integrate before replacing, when that is the better decision. What already works is kept and connected; migrating is a choice, not a requirement.
  • AI only where it is useful. Each part of the system uses the right tool, with or without AI.
  • Evidence over assumptions. Numbers are reconciled against the source before they are shown, and nothing is claimed that the data cannot support.
  • Client ownership. The repository, credentials and data belong to the client. No hidden dependencies.

05 / PRINCIPLES

What does not change from project to project.

06 / QUESTIONS

Questions about how I work.

01

Do I need to know which technology I want?

No. You need to know what problem you have and what you want to achieve. Choosing the technology is part of my job.

02

How does a project start?

With the contact form or an email describing the problem. I read it myself, ask about anything that is unclear and, if it makes sense, we talk it through before I propose anything.

Tell me the problem
03

Do you work alone?

Yes: the person who designs the system is the person who builds it. I work with coding agents that extend what one person can build, but the decisions and the responsibility are mine.

Meet Andrés
04

What changes when you build with AI?

Writing code is much faster and cheaper. What does not get cheaper is deciding what to build, designing the data, integrating the pieces and verifying that the system tells the truth. That is where the work is now.

What is a Digital Architect?
05

What size of project is a good fit?

Systems with a real problem behind them: platforms, internal tools, data layers or embedded AI. The contact form includes indicative budget ranges starting at €5,000; large systems are planned in phases.

06

Who owns the result?

You do. The repository and credentials are handed over, and the code and the data belong to your company.

07

Do you work with companies outside Spain?

Yes. I am based in Spain and work with companies anywhere, in English or Spanish.

Shall we start with the problem?

Tell me what you need to solve. You do not need to know yet what has to be built.

Tell me the problemor email me at andres@andresrl.es