Alber.

I used to integrate systems.Now I integrate agents into them.

AI and systems architect. Designing enterprise integrations across eight countries since 2002. Today I design the harness that lets agents operate inside real companies: agentic graphs, permissions, evals and traces. Not in slide decks.

Book a strategic session (€500)60 minutes, in English or Spanish.

Or start with the workshop notes

Alberto Fernández
Alberto Fernández, 2025

In the press

  • El País
  • RTVE
  • Forbes
  • Business Insider
  • Expansión
  • Funds Society

20+

years in systems

8

countries

1,500+

students trained

16

media appearances

The stamps you cannot buy.

Three formal recognitions any procurement committee can verify.

IEB

IEB, 2019

Professor of digital innovation

Teaching technology, blockchain and applied AI to executives.

Source: Profile on ieb.es ↗

Draper University

Draper University, 2023

Hero Training in Silicon Valley

Tim Draper's program. AI hackathon at Google. Event at OpenAI.

Source: draperuniversity.com ↗

Funds Society

Funds Society, 2025

Top influential in AI, Spain

Recognition by Spain's reference business-media outlet.

Source: Funds Society, February 2025 ↗

The problem isn't AI.It's the missing architecture beneath it.

Most companies are experimenting with AI without foundations. APIs taped together, prompts nobody has versioned, technical decisions made by someone who does not understand what they are building.

The result is predictable: demos that work in the presentation and break in production. The difference between an agent that works and one that does not is exactly the same as between well-designed software and improvised software.

I design the missing layer: the architecture that turns an idea into a real system. Agents that operate autonomously on an agentic graph, pipelines that scale, integrations that survive the real world.

The model gets swapped; the harness stays. Simplified diagram.

An agent is a graph, not a prompt.

Each step is a node with a contract: what it receives, what it returns and what it may touch. The graph decides what runs in parallel, where results come together, which branch to take, how many times to retry and where to stop and wait for a person. The model reasons inside each node; the architecture decides the path.

Example: an order that arrives by email. The model reasons inside each node; the graph decides the path.
fan-out
Splits a task into branches that run at the same time: three lookups in parallel instead of one after another.
fan-in
Waits for the branches and merges their results into a single state before moving on.
router
An explicit condition picks the branch. The model does not improvise the path.
bounded loop
Retries until the evaluation passes, with a maximum number of attempts and a way out if it fails.
human gate
Anything critical stops until a person approves, and who approved it is recorded.
checkpoint
Saves state at every step: after a failure, it resumes from the last good step.

“From now on companies will be led by humans who know what and how to ask instead of those who claim to know the answers. Having a programmer's mind will help a lot in the early years.”

“This stage I mentioned in 2022 is over. In the early AI wave, the advantage belonged to those who knew how to ask the right questions. Now the leverage shifts again. The real edge belongs to people who understand software architecture, systems, and logic. Builders win this phase. And the next one won't take four years; it will be 1 or 2 years at most. When it arrives, no one will have an advantage anymore.”

Three concrete outcomes.No “services”.

The one-liners from clients over the past 18 months.

  1. Clarity of decision under pressure

    One hour with me closes an internal debate that has been open for weeks. I review your architecture, your stack or your AI plan and you leave with a defensible direction, not another list of options.

    Typical client

    A CTO with an AI project stalled for lack of outside technical judgment.

  2. System-level architecture review

    I audit integrations, pipelines, agents and distributed systems with the same rigor applied at Correos, Severn Trent or the City of Madrid. I do not review code: I review the system around it.

    Typical client

    Technical team whose demo works on a laptop and breaks in production.

  3. AI integration in production

    I design agent architectures that actually operate inside the business: agentic graphs, state, evals, permissions, MCP connectors to your systems, and traces that survive an audit (and the AI Act). The same thing I did with middleware, now with models that change every quarter.

    Typical client

    Leadership with an agent pilot that never reaches production: security, governance and integration are holding it back.

2002 / 2026.Technical career, as blueprints.

Career17 entries
  • 2026

    Harness v2: agentic graphs in production

    With Sistek: agents that run SMB workflows as explicit graphs, with approval gates, permissions and traces. The model gets swapped; the harness stays.

    Sistek, Harness engineering

  • 2026

    Front-desk and booking agent: hospitality

    Madrid

    Conversational agent on the website of a Madrid restaurant group: its own persona, bookings written straight to the venue's database and daily and weekly reports to management over Telegram.

    Production, AI agents

  • 2025

    PradoMusicAcademy: end-to-end AI agents

    Designed AI agents running the complete operation of a music academy. Cut from 13 hours to 2 hours of daily manual management.

    Feb, Mar, AI agents, Automation

  • 2018

    Jelurida: Swiss blockchain

    Lugano, CH

    International collaboration on reference blockchain infrastructure. Node architecture, smart contracts and proof of concepts for European banks.

  • 2016

    Blockchain focus: UK

    UK

    After the TNT project, a deliberate pivot toward blockchain in the UK, right as the crypto ecosystem was expanding there. First contracts and talks focused on node architecture and enterprise integration with public chains.

    Blockchain, UK

  • 2016

    Severn Trent Water

    Coventry, UK

    Real-time analytics on the UK water grid. Digital, analog and weather sensors feed an ODM rules engine that detects incidents before they happen. Also implemented the unique household identification system via numeric identifier, the operational backbone of the service.

    DataPower, ODM, IIB, IoT, Household UID

Teaching6 entries
  • 2025

    Executive AI programs

    Training programs on applied AI for executive teams at IBEX-listed companies and central banks. Technical judgment, not hype.

  • 2023

    Draper University

    Silicon Valley, CA

    Tim Draper's Hero Training. AI hackathon at Google. Event at OpenAI. Immersion in the Silicon Valley ecosystem during the generative AI acceleration.

    Google, OpenAI, DraperU

  • 2022

    Training academy in development and AI

    Academic director of an intensive program with 140 students. Technical curriculum covering development, architecture and applied AI foundations.

    140 students

  • 2019

    Professor at IEB

    Madrid

    Teaching technology, blockchain and applied AI. Digital innovation expert panel. Recognized by the institution as "exceptional talent".

  • 2019

    Professor at ISDI

    Madrid

    Teaching on the ISDI Blockchain master's. Distributed systems engineering, node architecture and applied cryptography foundations.

  • 2008

    IBM certified instructor

    EMEA

    Technical training for the central banks of Denmark and Spain, Accenture, BEC.dk and teams in Saudi Arabia. Middleware, ESB, integration architecture.

Media5 entries
  • 2025

    Funds Society: Top AI Spain

    Recognized as one of the most influential people in artificial intelligence in Spain.

  • 2024

    Business Insider + Expansión

    Analysis published in Spain's two leading business outlets. Commentary on AI, markets and applied technology.

  • 2024

    Negocios TV: Capital Radio

    Recurring appearances as technology, AI and markets analyst. Intereconomía, Myconomy.

  • 2022

    El País: 15 years of Bitcoin

    Documentary by Spain's highest-circulation newspaper on the history and future of bitcoin. Technical analysis and strategic judgment.

  • 2021

    TVE: Informe Semanal

    The Faces of Money

    Interviewed on the flagship news program of Spanish public television on digital money, stablecoins and the future of payments.

Speaking2 entries
  • 2023

    Token2049: Slush: IBW

    International circuit: Singapore, Helsinki, Istanbul. Panels on crypto infrastructure, digital assets and institutional stability.

  • 2022

    Merge Madrid + MWC 4YFN

    Talks on blockchain architecture and applied AI. Reference European conferences.

Community2 entries
  • 2026

    Workshop notes: the blog

    Essays on agents, compilers and verification. The first: The operating languages, on why determinism moves to the verification layer.

    alber.one/en/blog

  • 2019

    Events at Google Campus Madrid

    Technical meetup series hosted at Google Campus Madrid. Gatherings of engineers, financial institutions and companies on blockchain, infrastructure and applied AI.

On stage

Real photos from the milestones on the timeline.

Fintech Junction

Fintech Junction

Tel Aviv, 2019

Google Campus Madrid

Google Campus Madrid

Technical meetups, 2019

TVE, Informe Semanal

TVE, Informe Semanal

Spain's flagship news show, 2021

Merge Madrid and MWC 4YFN

Merge Madrid and MWC 4YFN

Conference, 2022

Seven systems that say it better than I can.

Each plate documents a real project with technical metadata. No mock-ups.

2013, Blockchain, B2B integration

NXT

NXT: the chain as the integration channel

NXT, proof of stake, on-chain messaging

Proofs of concept for B2B integration on NXT, one of the first proof-of-stake blockchains, using its native messaging layer as the channel between companies, with no central broker. The line of work that later led me to Jelurida.

2013, Logistics, enterprise

Correos

Correos ↔ Amazon

XML, EDI/Edifact, ESB

Integration that defines the business model through which Correos generates recurring revenue with Amazon. Three message formats handled in parallel (XML, EDI/Edifact and proprietary), where a mapping error means packages lost at national scale.

2014/2015, Public sector, smart city

Ayuntamiento de Madrid

Madrid Smart City: MiNT

IBM MAXIMO, IOC, SSO, PKI

Chief Integration Architect for the City of Madrid. All external interfaces, hybrid cloud architecture, security (SSO, non-repudiation, encryption) and integration with MAXIMO and IOC for 3 million people.

2016, Utilities, IoT

Severn Trent

Severn Trent Water

DataPower, ODM, IIB, IoT

Real-time analytics on the UK water grid. Digital, analog and weather sensors feed an ODM rules engine that detects incidents before they happen. Also delivered: unique household identification system via numeric identifier, operational backbone of the service.

2018, Blockchain, banking

Jelurida

Jelurida (CH)

Smart contracts, distributed node

International collaboration with the team behind NXT and Ardor on reference blockchain infrastructure. Node architecture and proofs of concept for European banks from Lugano.

2025, SMB, AI agents

Prado Music Academy

PradoMusicAcademy: end-to-end agents

Agents, orchestration, APIs

AI agents running the complete operation of a music academy. From 13 hours to 2 hours of daily manual management. Agents with state, real integration and observability.

2026, Hospitality, AI agents

Restaurant group: booking agent

Conversational agent, persona, bookings DB, Telegram

Conversational agent on the website of a Madrid restaurant group: its own persona, bookings written straight to the venue's database and daily and weekly reports to management over Telegram. In production since 2026, with the model as the replaceable part and the integration as the fixed one.

What colleagues who worked on these systems say

“Alberto is a great professional with very broad knowledge of all integration products. His experience in diverse projects makes giving you a solution straightforward.”

Emilio Fernández Lojo

Commercial Support, Correos

“Broad expertise in his fields and a notable willingness to share knowledge and collaborate in any situation. His work is carried out with the highest professionalism.”

Iván Sánchez Maganto

ISA System Architect, NTT DATA Europe & Latam

“One of the people I have been most comfortable working with. Not only for his high technical ability, but for his proactivity and great capacity to absorb new knowledge.”

Víctor García Junco

Integration Architect, IBM

“Alberto is one of the best WebSphere specialists I have ever worked with. Polyvalent and an excellent colleague.”

David Aycart

Chief Client Executive, Baoss

Better to watch than to read.

15 years of Bitcoin: lights and shadows

El País, 2022

See all appearances

Clients will say it better.

Literal words. Published with explicit written consent.

“I went from working 13 hours a day running the academy to 2. Everything that used to take up my headspace (schedules, emails, payments, follow-ups) is now handled by the agents Alberto designed. I've got back the part that brought me here: music and students. He builds systems that work.”

Previously worked with

  • Correos
    Correos
  • Ayuntamiento de Madrid
    Ayuntamiento de Madrid
  • Severn Trent
    Severn Trent
  • Jelurida
    Jelurida
  • NXT
    NXT
  • IBM
    IBM
  • IEB
    IEB
  • Prado Music Academy
    Prado Music Academy

Objections, by frequency.

The ten questions that surface almost every time before booking.

Why €500 and not a free intro call?

The price is a deliberate filter. If €500 for an hour of technical judgment feels expensive, we're probably not aligned, and that saves both of us time. Whoever books shows up prepared, and the session is actually useful.

What's different from hiring a big consultancy?

A consultancy drops in a junior team with a methodology, a partner who signs the conclusions and six months of billing. I give you one hour with the person who designed the systems they reuse. If you want implementation afterwards, we'll talk separately.

What if we don't solve anything in 60 minutes?

If within the first 10 minutes you decide this isn't what you were looking for, full refund. No questions. It has never happened, but the commitment stands.

Do you sign NDAs?

Yes. If we're working on sensitive information, I sign an NDA before the session. Send your company's template or we use a neutral one.

English or Spanish?

Both. I've done training and consulting in the UK, Switzerland, Germany, Singapore and Silicon Valley. The session runs in whichever language you prefer.

Can we keep working together afterwards?

If after the session you want a longer engagement, we scope it separately. I never sell the hour to then sell something else: the hour is the hour.

How do I prepare?

The booking form asks for context, the specific problem and what you've tried. I show up read in. The hour is for deciding, not for me to catch up.

Does this work for non-technical executives?

Yes. A good portion of clients are CEOs under pressure to "do something with AI" who need technical judgment before committing budget. I speak your language.

Which model do you work with?

Whichever makes sense today. Models change every quarter; what stays is the architecture around them. I design so you can swap the model without rebuilding the system.

What about the EU AI Act?

Transparency obligations have been in force since August 2026 and the high-risk ones arrive in December 2027. If your agent talks to customers or makes decisions about people, we cover it in the session.

One hour.One clear decision.

60 minutes with the technical judgment of someone who has been building these systems since 2002. You come in with the problem and leave with a defensible direction.

Book a session (€500)