Data and AI adoption, for people and teams
Technology built around your business.
AI, automation, data and custom software, implemented with you, not handed to you. Set up on your own machines, connected to the work you actually do, taught well enough that you run it without me, and improved as the business changes. Not a platform migration. Not a course. A partner who has done it for his own business first, and stays.
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Where to start
Four doors, one way of working
Every engagement starts with a diagnostic, proves itself small, and grows only where the numbers say it should. Pick the door that matches you.
Real estate agents and teams
White-glove AI adoption. Set up on your machine, trained on your work, with scheduled tasks for the inbox, the paperwork, the research and the follow-up.
See the offerAny business with a numbers problem
Data foundations. Find the one constraint, fix the data underneath it, and put AI on top only where it earns its place.
How the work goesFounders with an idea
Bring me the thing you cannot build. I build it, for a fee or a stake or some of both, and stay to help you run it.
The three waysNonprofits
Benchmarks from public IRS filings, dashboards a board will actually open, and data work sized to the organization you have.
Nonprofit servicesData foundations
Every business is somewhere on this road
Two ideas drive every engagement: know where you are, and fix the one constraint that is actually binding. Each stage below is a normal place to be, and each has a clear next step. The foundations come first. AI goes on top once they are there.
Experience-led
Decisions come from knowing the business cold.
You know the roads by heart. That knowledge is the asset. The next step is writing a little of it down, so it can be checked, shared and built on.
Data aware
The numbers are being collected.
A map in the glovebox, which is already more than most businesses have. The win is opening it before the trip instead of after.
Data informed
The big decisions are made with data.
Navigation for the important trips. The next gain is in the small daily calls, which add up to more than the big ones.
Data driven
Data is part of every decision, and the systems keep it fresh.
Live navigation. The route adjusts as conditions change, and every trip makes the next one better.
Most clients start at the first or second stage. That is the normal starting point, and it is where the fastest wins are.
Theory of Constraints
A system is limited by its weakest link. Strengthening any other link changes nothing. So I find the binding constraint first, and spend your budget there.
It's why my engagements tend to be smaller than clients expect, and why they pay back faster.
In practice
A real estate client was assigning costs to projects by hand. The constraint was not their software or their reporting. It was one manual step that had to happen before anything else could.
I automated that step first, then built the spend tracking and forecasting on top of it once the data was reliable. Their account of it is further down this page.
AI, without the hype
I run my own business from one chat
Invoices, bank feeds, email, the calendar and the books are connected to one assistant. It prepares the next step on a schedule and waits for me to approve it. Nothing is sent without a yes.
It is the same setup I build for clients, and there is a recording of it rather than a promise about it.
Client story
What this looks like in practice
Real estate investment firm
We had a manual process for assigning costs to projects. JDS wrote a VBA routine that automated it, saving me at least five hours a week.
Once the process matured, JDS helped me create a dashboard to track spending by project and forecast revenue and expenses. With that in place, they began automating our “best offer” estimate using a proprietary formula and calculator.
Now they're helping me streamline project management. I can't wait to see what value they unlock next.
About
Who you'd actually be working with
Joy Data Solutions is one person and the AI he works with. Cost estimation, financial modeling, automation and adoption, for small businesses, real estate teams and nonprofits, with a low-risk way in.
Not sure where to start?
Most clients don't know which problem to hand me first. That's a normal place to begin, and the first call usually settles it.
Founder & principal consultant
Over fifteen years as a financial data analyst and cost estimator, evaluating the financial health of major contractors and federal programs, and presenting to senior government leadership.
Graduate Certificate in Data Science, Federal Postgraduate School
BS Operations Management, University of Maryland
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Tell me what's not working. If I'm not the right fit I'll say so, and point you at whoever is.
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