Automations that change outcomes.
Runs inside what you already use.
What we do
Data Jockey assists your company's transition to AI responsibly.
By upgrading your staff through tailored coursework, workshops, one-on-one coaching,
and building AI automations that increase efficiencies.
Welcome an AI-fluent organization with the know-how to scale safely and effectively.
Through tailored coursework, hands-on workshops, and one-on-one coaching. We step back as your team becomes capable.
All three run the whole way through
Built around your business and the tools your team already uses, so every lesson maps to their real work.
Your team learns by building real AI workflows alongside our engineers.
Direct coaching on each person's own work, until AI is just how they do the job.
In addition to education.
We build custom automations inside your existing infrastructure.
By auditing your operations to identify where manual work is taxing your company most.
Every engagement is two steps. First, we map how your team's work flows, measure the hours each step costs, and pin a yearly cost on the manual work. Finally, we build automations inside your infrastructure.
Step 1 · The audit
Example · accounts receivable clerk, one daily workflow
Every workflow we'd map, ranked by annual cost
This one workflow eats $142,000 / year in manual hours. It's the first thing we'd automate.
Step 2 · The build
We build the automation inside the tools you already run. Your data never leaves the systems you control.
Why it matters
03 · Visibility
The automations we build leave a clear trail of how work moves through your business. Leadership can watch the operation in real time, and see where the company is gaining ground and where time slips away.
> 14:32:18 Outbound batch sent · 47 emails
> 14:31:45 Pre-meeting brief delivered · acme.com
> 14:31:02 Inbound reply classified · Interested
> 14:30:38 Topic engine ranked 3 candidates
Two products beyond the education and the custom builds. We build each one, run it, and report the numbers every week. You own the leads and the channel.
01 · OUTBOUND
A cold email system that books meetings onto your calendar.
How it works
It is the same system we run for our own sales.
See how Outbound works02 · DJ STUDIO
A full YouTube and social channel, run on a clone of your face and voice.
How it works
Four channels, 135 videos, tracked from idea to live.
See how DJ Studio worksNot sure which one fits? Book a 30-minute call and we will map it to your business.
Book a callFour things companies need. We provide all four.
| Consultancies | Automation firms | AI platforms | Data Jockey | |
|---|---|---|---|---|
| Trains your team | No | No | No | Yes |
| Builds your automations | Yes | Yes | No | Yes |
| Runs on your own systems | No | No | No | Yes |
| You own it | No | Sometimes | No | Yes |
Trains your team
Builds your automations
Runs on your own systems
You own it
The library
Jack Dorsey and Roelof Botha on Block's flat-org redesign after roughly 4,000 of 10,000 roles were retired. The most-cited proof point for service-as-software inside a public company.
Read source2.3M conversations, resolution time from 11 minutes to under 2, projected $40M of 2024 profit improvement. The operator press release every European AI-restructure deck cites first.
Read sourceMasayoshi Son's ten-year thesis: ASI leaders capture ~5% of global GDP at near-50% margins. Cristal Intelligence is already running across 2,500 internal SoftBank business systems before any external rollout.
Read sourceBased in Madison, Wisconsin, Data Jockey turns organizations AI-native through education and automations, serving companies across insurance, manufacturing, distribution, and professional services.
The principals
Lorenzo studied economics at Maastricht University. He built back-office automations for Italian operating companies, giving him practical insight into how businesses function on the ground. This experience shapes the marketing and go-to-market strategies he brings to Data Jockey. Lorenzo met the team during his exchange semester at the University of Wisconsin-Madison.
Before Data Jockey, Sean ran sales, marketing, and operations at a startup, where he led automations across those departments. Convinced that every company will eventually need to become AI-native, he started Data Jockey to help drive that transition. He now leads sales and builds automated tools for customer acquisition.
Founded 2026 · Madison, Wisconsin · hello@datajockey.us
Skip ahead
The minimum business size we work with starts at ten employees.
There is no pitch. We spend the call understanding your pain points, whether that means responsible AI adoption or quantifying where automation will pay off, and providing a plan of attack.