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Data Architecture Consulting

Reproducible Answers You Didn't Assemble

You made the case for this platform and you got the money for it. We build the part your team hasn't built at this scale, document it, and leave it with them.

The first engagement is a Data Platform Assessment. It ends with a written scope, a named set of risks, and the parts we would decline to take on.

Read this first
Where We Don't Fit
You need a vendor to run the platform after launch. We write the runbook and hand it over.
You need engineers placed on your team. We come in on the architecture, not on headcount.
The people who own your source systems can't give us their time. The build stalls at intake, and we would rather say that now.

The full list of exclusions and open questions is on the Architecture Services page.

Inherited fragmentation

The Systems Were Never Built To Reconcile

A network your size runs on tools bought at different times, by different people, for reasons that made sense then. Scheduling in one, billing in another, payroll in a third, a franchise layer over the top.

Nobody designed the gaps between them. You inherited them, and you are the one being asked to answer across them.

A cross-system question gets answered by whoever was asked
Not escalated to your one analyst. Not escalated to us.
The same question returns the same number next quarter
Definitions live in the platform, not in a spreadsheet somebody maintains.
Your team owns it when we go
Schema documentation, runbook, and a named owner on your side who has run it with us.
Case study

She Was Signing Off On Numbers She Could Not Explain

A private-equity-backed home services company. No data lake, no BI function, and dashboards built straight on hand-keyed field data. We built the foundation first, then the automation on top of it.

The situation

The private equity sponsor wanted dashboards. A senior executive had taught himself Power BI and was building them on top of the operating system of record. An outside BI vendor was doing the same thing. Field data was hand-keyed by foremen.

“Any dashboard you put on top of it would be meaningless until you get the data integrity in place.”
The CFO of a private-equity-backed home services company
Outcomes to date
A $15,000 per year third-party data capture application retired
1.5 accounting FTE released through attrition, with no layoffs
A sustained bonus overpayment stopped
Self-service reporting across the business
Still open

Materials cost visibility at close. Inventory scanning and true job costing are on the roadmap and are not in the results above.

The one a CFO will read twice
“For my bank compliance rules for my loan, I get extra credit to my EBITDA for any headcount that I cut. And we haven't had to do a riff or anything, but just through attrition, I haven't had to backfill some roles. So it's like this was actually incredibly helpful from a compliance standpoint from profit.”
The CFO of a private-equity-backed home services company
Where we work

Three Kinds Of Network

All industries

Home Care Networks

Census, billing, scheduling, and payroll sit in separate systems with a franchise layer over all of them. Every question the board asks crosses those lines.

Private-Equity Portfolio Companies

Your operating partner wants reporting that reconciles across companies that share nothing but an owner, on a timeline set by the quarter.

Credit Unions And Financial Services

Modern core banking with reporting that has to hold up when an examiner asks how a number was produced.

Our product

Senti Runs On Top Of What We Build

Senti is our product. Someone asks a question in plain English and gets an answer with the query, the sources, and the logic shown. Read-only, access-controlled per user, and logged on every question, so the same question returns the same number tomorrow.

That is what removes the assembly step. It is also why a question does not have to come back to us.

Where it fits

Nothing we build requires it. Senti connects to a platform you already have, and it is bought, priced, and supported on its own.

asksenti.com
Where every engagement starts

The Data Platform Assessment

Two to three weeks, fixed scope, fixed fee. It ends in a written recommendation you keep, whether or not you hire us for the build.

2–3 weeks NDA before we start No login required
01
A discovery call

Thirty to sixty minutes, under NDA. Who built the current setup, what it does well, and which question you were asked that it could not answer.

02
We walk the data with your person

You name the engineer or analyst who knows the systems. We sit with them and review how it is structured and used. Nobody has to hand over credentials.

03
A written recommendation

Architecture scope, sequencing, the risks we can see, and the work we would turn down. Written so another firm could act on it.