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AI Estate Audit.

Find out what you've actually built before anyone asks you to spend money.

the problem

What this is actually for

Most owners a year into this can't tell you what they've actually built, what it costs, or which critical job is really one person's undocumented script.

proof

What we built for ourselves

We mapped our own estate first. Every automation, scheduled job, integration and AI-assisted process, tied to the business function it serves.

The picture was uncomfortable. It found duplicated work, jobs nobody owned, and workloads running on expensive compute for no reason.

It reordered our own roadmap before it was ever a thing we sold.

the deliverable

What you get

  • A structured inventory of every automation and integration, with frequency, monthly cost, failure history and a named owner
  • Gaps, overlaps and single points of failure marked on the map
  • A compute-tier grade per workload — usually the first real savings, before anything new gets built
  • A build order, in sequence, with the reasoning

Hear how it got built

We recorded the build of each of these, including the parts that didn't work.

  • Episode 4 — The Brain Maprecording

Episodes publish as they're cut. Nothing here is a teaser for something that doesn't exist — the systems are already running.

the honest limit

What this doesn't do

Sometimes the finding is that you should turn things off, consolidate, or fix your data hygiene — and buy nothing. That's a real outcome and we'll write it down. It's also the reason we require this before quoting implementation work: we'd rather scope from a map than a guess.

under the hood

What it runs on

Built on NVIDIA hardware and software we own and operate, not a reseller relationship.

DGX Spark (used in delivery)NeMoPythonSlack API

Where it's going next: Fixed price, one-week turnaround, standard deliverable.

NVIDIA Inception Program member badge

A member of the NVIDIA Inception program

Fifteen minutes, no deck.

Bring one specific problem in one sentence. We'll tell you whether it's worth building, roughly what it takes, and sometimes that the answer is don't build it.

Start here

Two steps before we talk — it takes about five minutes.

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