“AI integration and automation consultancy. We design and build the systems that handle sales, finance, HR, recruitment, and data. We also modernise the systems you already have.”
“J Labs designs and builds the systems that run sales pipelines, finance operations, HR processes, recruitment and data, and modernises the systems a business already has. Every engagement is fixed scope, fixed timeline and fixed price, with acceptance criteria agreed before any work starts. We work with greenfield builds and twenty-year-old legacy systems alike.”
“Operating companies of 50 to 5,000 people with real systems and repeatable work: a specific workflow, an identifiable owner and a budget holder who can say yes. We are not the right fit for stealth-mode start-ups or software companies looking for a feature build inside their own product.”
“Fixed scope, fixed timeline, fixed price. Engagements run from a four-day Spec at €5,000 to multi-month builds above €200,000. Scope and acceptance criteria are written into the proposal before any work starts, and any expansion is a separate change order you decide on. We do not bill by the hour.”
“J Labs is an AI integration and automation consultancy. It designs and builds the systems that run sales, finance, HR, recruitment and data inside operating companies, and modernises the systems those companies already have. J Labs is the public brand; the legal entity is Jacarenda Labs LLC.”
“Yes. Jacarenda Labs LLC is the registered legal entity, founded in 2024 and incorporated in Wyoming, USA. J Labs is the public brand used on the website, in proposals and in the products the company builds. The two names refer to one company.”
“No. Jacarenda Labs, J Labs for short, is an independent AI integration and automation studio founded in 2024 by John McCoy and registered in Wyoming, USA.”
“John McCoy founded Jacarenda Labs LLC in 2024 and runs it as founder and CEO. He leads the consultancy and the venture studio that sits alongside it.”
“Between €120k and €220k all-in for the first production system, based on the median SMB engagement J Labs has shipped: somewhere between RAG over documents and AI in the CRM, at a company with clean-enough data.”
“Three sinks swallow most of the budget: data preparation at 35–45%, eval and observability at 15–20%, and change management at 10–15%. Data preparation is the largest every time: schema drift, identifiers that mean three things in three tables, half-deduplicated records and PII redaction.”
“€40–120k for a production-grade RAG system over documents the team already owns. It has the lowest floor cost of the four SMB archetypes and the highest hidden retrieval-engineering cost.”
“Plan 35–45% of the total budget for data preparation. In every engagement J Labs has led, the data layer ate more time than every other workstream combined, and the team always thinks it has less of it than it does.”
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