Trusted by global brands ]

    We replace your most expensive process with an AI system that costs less and works better.

    For one of our enterprise clients, we replaced a 100-person department. And accuracy went up.

    Automations we've built run at

    • Uber
    • McDonald's
    • Intel
    • First Love Church
    • InspectSnap
    • DHMM
    • Goalpost
    The Problem ]

    Every business has one process eating the budget.

    You already know which one yours is. Here's how it usually goes.

    01

    Everyone complains about it. Nobody owns it.

    It might be document processing, reporting, reconciliation, research, or intake. Whatever it is, it eats your best people's week and shows up in every budget review.

    02

    You've thrown people at it.

    Because headcount was the only lever you had. Every new hire buys a little capacity, adds a little management overhead, and leaves the process itself exactly as broken as before.

    03

    You've thrown tools and consultants at it.

    Software got bought. Advice got taken. The bottleneck is still where it was, because nobody rebuilt the process. They decorated it.

    04

    And because it's manual, you can't see inside it.

    A process that lives in inboxes and spreadsheets produces no numbers. So the biggest cost in your operation is also the one you're managing on gut feel.

    These are the processes we replace. The bar never moves: the new system has to cost less and do the job better.

    The Proof ]

    Three of our best case studies. Every one beat the process it replaced.

    Enterprise Document Platform
    Enterprise Document Platform case study

    One system replaced a 100-person department

    Document processing that took a 100-person team up to two weeks now finishes in under three minutes, and accuracy went up. The system handles over a million documents a month.

    People, replaced by one system

    And accuracy went up

    %

    Faster

    Two weeks of work, done in under three minutes

    M+

    Documents a month

    Running at enterprise scale

    Global Consumer-Goods Brand
    Product screenshot, blurred for confidentiality

    A multiple six-figure agency, replaced for $2,000 a month

    Consumer research and concept generation used to go through an agency: multiple six figures a year, six months per cycle. It now runs as a system for about $2,000 a month, and the concepts got better.

    $

    A month, all in

    The agency retainer ran to multiple six figures a year

    Months, cut to minutes

    Research and concept generation, end to end

    First Love Church case study
    First Love Church

    The system that runs a whole church

    Offering collection and banking used to be counted by hand. We automated it, and for the first time leaders could see where money and attendance actually came from. The church grew 4x. Donations grew 10x.

    x

    Church growth

    After leaders could finally see their own data

    x

    Donations collected

    Offering counting and banking, automated

    We build for churches and ministries
    Seeing Clearly ]

    Automating the process is half of it. The other half: you can finally see inside it.

    First Love Church didn't grow 4x because counting got faster. It grew because leaders could see, for the first time, which services were growing, which members were drifting, and where giving actually came from. Then they acted on it.

    That's what happens when a manual process becomes an AI system: it starts producing data as a side effect. Decisions that used to run on gut feel start running on facts.

    Most software stores what things are. We model how they connect: customers to orders, members to services, documents to the people who depend on them. We build on Neo4j, a database made for exactly that, and it's why our systems can answer questions the old process never could.

    PeopleServicesGivingGroupsEvents

    4x

    growth after leaders could see the data

    10x

    donations once counting became a system

    How We Work ]

    Start by finding out what your process is really costing you.

    We work in two stages, and we only continue if the numbers make it obvious.

    Stage 12 weeks

    The Operations Audit

    $1,000credited toward the build

    JD works through your operations with you and comes back with the numbers: what your worst process costs, which AI systems should replace it, and where to start.

    • A map of your operations, showing where the time and money actually go
    • The highest-leverage AI automations, ranked, with what each one is worth
    • A roadmap that runs from the first quick win to a fully digitised business
    • A walkthrough call to answer everything
    Your call
    Stage 2Optional

    The Build

    Scoped and priced by your audit. You'll know the number before you commit to anything.

    The roadmap is yours either way, and you're free to run with it alone. If you build with us, the $1,000 comes off the first invoice.

    • Every system scoped in your roadmap, built and rolled out
    • Your team trained on it, with adoption handled rather than assumed
    • A 60-day bug-fix guarantee after launch
    • Full ownership transferred to you. Code, data, everything.

    If the audit says the numbers don't work, we'll tell you not to build. That's the point of it.

    The Founder ]

    You work with JD. Directly.

    There are no account managers between you and the person doing the work. JD (John-Dag Addy) runs every audit himself and leads every build, backed by a certified senior engineering team.

    His specialty is the part most developers skip: understanding how your operation actually works before deciding what to build. Every system on this page, from the 100-person department to the church that grew 4x, started with JD sitting with the team and mapping the process until the leverage showed itself.

    JD, John-Dag Addy, founder of the Codefoundry

    JD

    John-Dag Addy

    Founder & Lead Engineer, the Codefoundry

    1M+

    Documents automated monthly

    50+

    Enterprises helped

    2025

    UNFPA Hackathon winner

    [ CLIENT TESTIMONIALS ]

    WHAT CLIENTS SAY

    From the people whose processes we replaced

    • Through out the journey, JD's communication was to the point and his approach of solving problems was definitely much better then what we were thinking. We are highly impressed with JDs work and integrated a lot of his recommendation in our product. I highly recommend JD in any frontend piece...
      Baljeet Singh
      Baljeet SinghFounder | Zyg
    • JD was amazing to work with. Quick at replying and very good communication all around. The project was completed exactly as agreed and maybe a bit beyond. I highly recommend JD, and will most likely be working with him again in the future!
      Albert Kindberg Skytte
      Albert Kindberg SkytteCo-founder | Pierlink
    • It has been a great pleasure working with JD and he has delivered far beyond our expectations! He continued to deliver and work through our emerging and evolving requirements in a timely fashion, and the results are far better and more comprehensive than anyone on our team expected. We look forward...
      Robert Damashek
      Robert DamashekCo-founder | Genius Cooperative
    • He'll work with you to understand the requirements and he delivers. All round good experience.
      Femi Akeredolu
      Femi AkeredoluFounder | Areabox
    Before You Ask ]

    The questions people ask before booking.

    Next Step ]

    Your worst process isn't going to fix itself.

    Thirty minutes with JD. Tell us where the time and money go, and we'll tell you honestly whether AI can do it better.

    30 minutes · No obligation · You leave knowing your next step