Service Path

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Private AI: cloud or local

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

A usable path, not shelfware.

Outputs are designed to help responsible people make clearer decisions, carry the work forward, and know what still needs to be learned.

01

Sovereign deployment

Evaluate local, private-cloud, hybrid, and isolated patterns against control, performance, and operational needs.

02

Usage economics

Compare seat, consumption, infrastructure, staffing, and lifecycle costs before committing.

03

Security by design

Make identity, authorization, segmentation, logging, retention, and supplier boundaries explicit.

04

Responsive operations

Plan observability, evaluation, incident response, updates, and recovery as part of the product.

05

Data ownership

Define what enters the system, where it resides, how it is used, and when it is removed.

How it works

Bounded. Evidence-led.

  1. 01
    Mission interviews

    Identify users, workflows, desired outcomes, constraints, and consequential decisions.

  2. 02
    Data and signal map

    Classify sources, flows, sensitivity, provenance, retention, and acceptable use.

  3. 03
    Risk workshop

    Surface misuse, failure, privacy, security, human-factors, and governance risks.

  4. 04
    Architecture matrix

    Compare feasible deployment patterns and their cost, control, and maintenance tradeoffs.

  5. 05
    Pilot

    Build a narrow proof against defined evaluation criteria and stop conditions.

  6. 06
    Executive path

    Present the evidence, choices, costs, and remaining uncertainty for a go/no-go decision.

  7. 07
    Governance

    Establish ownership, evaluation cadence, change control, incident handling, and decommissioning.

Why this path

Human stakes stay visible.

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

Start with the mission.

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.