For teams whose data cannot just go anywhere
Find out if private AI is worth it before you buy GPUs.
A strategy session that maps your data boundaries, matches them to the right deployment tier, and prices the options honestly. Sometimes the answer is "you do not need private AI." You will get that answer if it is true.
$2,500-$5,500 depending on systems scope. Credited toward a retainer starting within 45 days.
Book a strategy sessionWhen this is right
Legal or security has blocked SaaS AI tools, and the workaround culture replacing them is worse than either option.
Customer contracts, regulatory posture, or government work put hard boundaries around where your data may travel.
Someone wants to self-host and someone else thinks that is absurd, and both are arguing from instinct instead of your data classification.
A vendor quoted you a private AI platform and you cannot tell what is genuinely private about it.
You leave with
A data boundary map that classifies what you hold and what may travel where.
A deployment recommendation with reasons: commercial API, dedicated cloud, or fully self-hosted, matched to your actual obligations.
Cost realism for each tier at your volumes, including the numbers vendors round down.
One or two pilot options that fit inside the recommended tier, each with a metric and a kill criterion.
A vendor question list that exposes what any private AI pitch actually is.
Related resource
Run the decision yourself first.
The Private AI Decision Framework walks through data classification, obligations, deployment tiers, costs, and the vendor questions most pitches would prefer you did not ask.
Questions
Is private AI just more expensive and worse?
Often, yes. That is why the session exists. Every tier above a commercial API trades money and model quality for control. The question is whether your obligations require that trade.
Can you review a specific vendor proposal?
Yes. Bring it. Proposals get the same treatment as tiers: what is actually private, what it costs at your volumes, and what you keep if you leave.
Do we need our security or legal lead in the session?
The working session is materially better with them there. The deliverable is written so they could have written it, which is the standard it has to meet to be useful.
What if the answer really is "you do not need it"?
Then you saved five figures of infrastructure and still got a governance map that makes standard tooling safer to adopt. That is a good outcome.
Who implements the recommendation?
Your team, any competent partner, or Consult Mosaic for commerce-related builds. The document stays vendor-neutral either way.
Closing