Your Data & AI Office. Without Building One In-House.
Minasvand Group works with mid-sized companies that know there is more they could be doing with their data and AI, but don't necessarily need a full internal team to do it.
We help you figure out what makes sense, what doesn't, and then stay involved to get the right work done.
Jores Minasvand
Founder & Principal Data & AI Advisor
Enterprise architecture, data modernizations, and executive advisory across 6 major industries.
Designed for companies with meaningful data scale that do not require an internal department.
Every relationship begins with two weeks to clarify what actually makes sense for the business.
You probably don't need another AI presentation.
Maybe your team has a long list of AI ideas but nobody knows which ones are worth pursuing.
Maybe you have plenty of data, but getting a useful answer from it is harder than it should be.
Maybe different parts of the business are buying tools and experimenting independently.
Or perhaps you simply know Data & AI needs more attention than it is getting today—and there isn't anyone internally who owns the whole picture.
That's usually where we come in.
What is a Fractional Data & AI Office?
It is the Data & AI capability your business needs, without assuming that means hiring a full internal department.
For one company, that might mean Jores working alongside the leadership team as its fractional Data & AI executive.
For another, it might require a small team with strategy, data, architecture or AI expertise.
And sometimes the right answer isn't an ongoing fractional relationship at all. It may be a clearly defined project that needs to get done.
We determine that after we understand the business.
Fractional Executive
Senior Data & AI leadership when you need someone to own the direction.
Fractional Office
Leadership plus access to additional Data & AI expertise as needed.
Project
A defined piece of work with a clear scope and outcome.
Fractional Data & AI Office is the proposition, not necessarily the contractual format.
The Starting Point
We start with two weeks.
Before recommending a roadmap, a project, a retainer, or another piece of technology, we want to understand what is actually happening inside the business.
Over two weeks, we look at the business priorities, current data environment, technology, existing initiatives, problems people are trying to solve and opportunities already being discussed.
We talk to the people who know the business.
Uncovering day-to-day operational realities, current data bottlenecks, and what leaders need to make decisions.
We look at what you already have.
Reviewing existing databases, architectures, platforms, and current tools before proposing new purchases.
We identify where Data & AI could realistically help.
Focusing squarely on high-leverage business opportunities with demonstrable, practical utility.
We separate what’s worth pursuing from what can wait.
Providing clarity so leadership can eliminate distractions and allocate capital with confidence.
What happens after that?
There is no automatic retainer.
Depending on what we find, the next step could be a Fractional Data & AI Office engagement, a specific project, support for your existing team, or nothing immediately.
We've been doing this since long before AI became the thing everyone was talking about.
Jores Minasvand
Founder & Principal Advisor
Jores Minasvand has spent more than 30 years working across business, data and technology.
He has worked as an architect, technical lead, solution manager, consultant, account leader and business owner. His experience spans manufacturing, automotive, financial services, energy, healthcare and higher education.
That matters because Data & AI decisions rarely stay neatly inside the technology department. They touch operations, people, systems, money and the way the business actually works.
Documented Track Record
SQL licensing savings identified through workload rightsizing and consolidation.
Databases moved and modernized toward Azure enterprise cloud architecture.
US banking data sources coordinated for BMO Harris AML reporting.
A few questions we get
We don't start by assembling a large project team or selling you an implementation. We start small. For two weeks, we learn enough about the business to form a point of view about what is worth doing. If you need us after that, we can stay involved. If you don't, you still leave with a clear direction.
Not sure what your Data & AI Office should look like?
Neither are we, until we've looked at your business.
Start with the 2-Week Data & AI Assessment. We will review what is currently happening, talk to key people, and give you an unvarnished recommendation on what makes sense and what can wait.