ES

Cases

What I have built and the result it had, told the same way each time. If a fact has no evidence, it is not here.

Cases and results

These are cases from my roles at Sesame HR, Dentsu and PHD, and from my own projects. Each one says what kind it is. Freelance client cases will be added once each client agrees to publish them. Figures are relative: absolute ones belong to each company.

  • Real implementation

    AI GTM Engineering

    Sesame HR, in my role as Head of AI GTM Engineering, since April 2026. It is an internal project, not a client's.

    Context and problem

    Marketing, sales and data work is spread across five markets.

    How it was done before

    It depended on manual steps and on the few people who knew how to do them.

    What was built

    I designed and run a system of AI agents with ten-plus tools in production.

    How it works

    The agents qualify leads, watch campaigns, prepare content and answer data questions.

    Result

    Ten-plus tools in production across six areas and five markets.

    Evidence

    How the system is organised is on “About”, under “What a programmable organization looks like”.

    Limits and the human role

    People approve what matters.

  • Real implementation

    Paid media and marketing operations

    Sesame HR, in paid media and marketing operations, 2023 to 2025. It is an internal project, not a client's.

    Context and problem

    Sales opportunities had to grow in five markets at once.

    How it was done before

    Reporting, tracking and lead handling did not keep up.

    What was built

    Lead scoring and account-based programmes. Executive dashboards that build themselves. Privacy-first tracking.

    Result

    Sales opportunities grew month on month and quarter on quarter. Within thirteen months I was leading paid media and marketing operations, and I was named the company's MVP of 2024.

    Systems

    The ad platforms and the CRM.

    Evidence

    The MVP award, chosen among 370 employees. Growth figures belong to the company and are not published.

  • Real implementation

    Search planning for Unilever

    PHD Media (Omnicom), London, 2017 to 2018.

    Context and problem

    International search campaigns for Unilever and Upfield.

    How it was done before

    Reports for the EMEA teams were put together by hand.

    What was built

    I automated the reporting. I also planned and optimised search for both brands.

    Result

    +221% conversion rate year on year.

    Evidence

    Account results for 2017 and 2018. The client's recommendation is on my LinkedIn profile.

  • Own project

    GeoAdsFinder

    Own project. It started during my time at Dentsu International and is a standalone product today.

    Context and problem

    SEO and paid search teams need to see what someone searching Google from another city or country sees. At Dentsu it was a problem the whole network had.

    What was built

    A tool that shows what someone searching Google from any city or country sees, ads included.

    How it works

    It also lets you see competitors' ads on Meta, Google, TikTok and LinkedIn. The basic version is free.

    Result

    The Dentsu network adopted it. Today it is a standalone product, adding visibility in AI search.

    Evidence

    Still live at geoadsfinder.com.

  • Own project

    #YoMeTesteoEnCasa

    Own project with two friends, in March and April 2020.

    Context and problem

    When COVID-19 arrived, there was no self-assessment tool for the whole of Spain.

    What was built

    The first COVID-19 self-assessment tool for the whole of Spain, built in 24 hours.

    How it works

    A chatbot guided each person and gave them the emergency contacts for their area.

    Result

    Local authorities and hospitals backed it.

    Evidence

    Expansión and Xataka, among others, covered it.

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