A supervised starting point.
Choose a recurring workflow with approved sources, manageable error consequences, and a responsible reviewer.
Private AI decision guide · Free 10-page edition
Find where private AI could reduce routine work for your team. Explore practical workflows, security safeguards, workstation options, and illustrative economics before you invest.
Your team stays responsible for decisions, verification, and final review.
Zero obligations. No purchase required. Booking is not required to get the guide.

Edition 01 / 10 pages / US-oriented education
Inside the guide
Begin with one controlled workflow, understand the data path, and test assumptions before expanding.
Choose a recurring workflow with approved sources, manageable error consequences, and a responsible reviewer.
Explore permissions, separation, sources, restricted egress, review, retention, backups, and versions.
Compare hardware paths without treating more GPUs as automatic accuracy or shared GPU memory.
Use illustrations—not quotations or guaranteed savings—and include operating costs before expanding.
Local processing is an architecture choice, not automatic legal, HIPAA, privacy, security, or compliance certification.
Preview
Included: supervised workflows, safeguards, hardware comparisons, and illustrative cost scenarios.
Start with a workflow that has a clear owner, a known source boundary, and a defined point for human review.
US-oriented educational information, not legal advice or a promise of compliance, security, accuracy, savings, or results.

Download is available after a saved request.
Supervised by design
Private AI can help prepare work; it does not replace accountable human judgment.
Start with curated sources, clear permissions, and a defined reviewer.
Produce a repeatable first pass where error consequences are manageable.
Keep judgment, exceptions, and final decisions with accountable people.
Hardware paths
These are illustrative tiers, not quotes or a guaranteed fit. GPU memory remains per GPU; two GPUs do not automatically form one shared memory pool.
Focused pilot
24GB per GPU · 128GB RAM · 4TB M.2 + 8TB SSD
For accounting, property services, and agencies evaluating supervised search, extraction, and routine drafts.
Growing workload
32GB per GPU · 256GB RAM · 8TB NVMe + archive
For agencies and technical consultancies combining local AI assistance with compatible creative workloads.
High-capacity path
96GB ECC per GPU · 256–512GB RAM · 16TB NVMe + archive
For measured large-model or parallel-work needs in legal, healthcare administration, and engineering.
Illustrative configuration only. Match hardware, storage, support, integration, review, and operating costs to a scoped evaluation.
Optional next step
Leave with a clearer direction. Discuss the task consuming time, information needing control, and whether a pilot deserves evaluation.
Zero obligations. No purchase required. It is not required for the guide, a compliance audit, or a promise of results.
Clear boundaries are part of a responsible first step.
Yes. After the request is durably saved, download the PDF immediately. No booking or marketing opt-in is required.
Yes. Legitimate Gmail and other personal-domain addresses are accepted for business use.
No. It can support controls, not establish HIPAA, legal, privacy, professional, or other compliance. You retain responsibility.
No. They are illustrative assumptions; actual hardware, support, integration, adoption, review, and results need a scoped evaluation.
No. Business-contact form only. Do not submit confidential client, employee, patient, matter, case, credential, or proprietary documents.
Private AI decision guide
Get a grounded way to frame the workflow, controls, hardware, and costs before you decide what comes next.