Sovereign deployment
Evaluate local, private-cloud, hybrid, and isolated patterns against control, performance, and operational needs.
Service Path
Choose where the system runs, what it may know, who may use it, and how decisions remain accountable. Architecture begins with mission and data boundaries, not a model shopping list.
Purpose before tooling
We begin with the people, mission, evidence, constraints, and decision authority. Scope and deliverables are agreed before work begins, and every recommendation preserves accountable human judgment.
$350 per service hour
One-time purchase · choose 1–20 hours · no subscription.
Seats, model usage, infrastructure, and third-party costs are priced separately.
Purchasing reserves professional time, not a particular deliverable or immediate start. Fit, scope, scheduling, and pass-through costs are confirmed before work begins. If you have a deadline or cancellation, rescheduling, or refund requirement, discuss it before checkout.
What you gain
Outputs are designed to help responsible people make clearer decisions, carry the work forward, and know what still needs to be learned.
Evaluate local, private-cloud, hybrid, and isolated patterns against control, performance, and operational needs.
Compare seat, consumption, infrastructure, staffing, and lifecycle costs before committing.
Make identity, authorization, segmentation, logging, retention, and supplier boundaries explicit.
Plan observability, evaluation, incident response, updates, and recovery as part of the product.
Define what enters the system, where it resides, how it is used, and when it is removed.
How it works
Identify users, workflows, desired outcomes, constraints, and consequential decisions.
Classify sources, flows, sensitivity, provenance, retention, and acceptable use.
Surface misuse, failure, privacy, security, human-factors, and governance risks.
Compare feasible deployment patterns and their cost, control, and maintenance tradeoffs.
Build a narrow proof against defined evaluation criteria and stop conditions.
Present the evidence, choices, costs, and remaining uncertainty for a go/no-go decision.
Establish ownership, evaluation cadence, change control, incident handling, and decommissioning.
Why this path
Private AI is an operating commitment, not merely an installation. This path joins architecture, security, economics, evaluation, and human authority so the system can be owned responsibly.
The published rate is a planning baseline. Final scope, schedule, expenses, seats, usage, infrastructure, third-party services, and deliverables are documented in a written agreement before work begins.
Bring the real problem
Share who is affected, what better looks like, and which decision needs to become clearer. Do not include sensitive records or controlled information in an initial inquiry.