/ solutions / data foundation
Getting AI-ready means fixing the data underneath, first
Told to get AI-ready, most companies reach for a model. The problem sits underneath it: data scattered across systems that do not talk, reachable only by export, and cleaned by hand every time someone needs it. We build the layer that fixes that, reaching the raw sources, cleaning them once in code, and making the whole thing one queryable foundation you own in your own cloud.
What blocks AI is the data, not the model
A model is something anyone can call now. What it cannot do on its own is reach your data. That data lives in a finance system, an ERP, a shared drive, and a stack of exports, and none of them talk to each other.
So every time someone needs an answer, they pull exports and clean them by hand: reconcile the sources from memory, run the same crosswalk in a spreadsheet, redo the cleanup from scratch. Point AI at that and it has nothing solid under it. It reads whatever the last manual pass happened to produce, errors and all.
We clean the data once, in code, into one queryable layer
We reach the raw sources directly and clean and normalize them one time, in code. The result is a single layer you can query, a data lake that holds every source in a shape a machine can read. The crosswalks a team used to run in a spreadsheet become real data in it.
Because the cleanup is written as code, it runs the same way every period, and each new month appends to the same layer instead of being rebuilt by hand. The reconciliation errors a manual pass used to bury get caught before anyone acts on them.
The spreadsheet stops being the system of record.
You own the foundation, in your own cloud
The foundation ships as code into your own cloud and carries only your data. You own it the day it lands, rather than renting a seat on a platform someone else holds. When a source changes, the code changes with it, and the layer keeps your full history instead of resetting each time.
Once the data is queryable, an agent or a person can act on it
With the foundation in place, an agent or a person can ask the business a question in plain language and act on the answer. This is the layer that spend analysis, a knowledge agent, and document control are all built on. We build it first, every time, because a model pointed at a business before its data is reachable gives confident answers with nothing under them.
It is the prerequisite. Everything else we build sits on top of it.
/ start
Start with the data you already have
Show us where your data lives and what your team cleans by hand, and we scope the foundation. Or email hello@mcintoshsystems.com.