Resources

Decision notes for private AI buyers.

See the hardware, model, and ownership decisions that shape a private AI deployment before it reaches production.

Planning note

Hardware planning

The sizing questions we review before recommending hardware or pilot scope.

Professional computing equipment arranged on a shelf
  • Expected model class, latency goals, and concurrent users set the starting hardware tier.
  • Document volume, indexing strategy, and backup retention drive storage requirements.
  • Power, cooling, network placement, and physical access affect what will work on site.
  • Assumptions should be documented so the pilot can be benchmarked before production.
  • Hardware remains customer-owned and should be reviewed against the pilot plan before purchase.

Decision record

Model policy

How model choices, limits, license constraints, and refresh plans are recorded.

A policy document in an open folio
  • License terms must support the customer's commercial use case before deployment.
  • Quality, speed, and memory use should be validated against approved documents and workflows.
  • Each environment needs a record of which model is deployed, why it was selected, and where it falls short.
  • A controlled refresh path prevents model updates from becoming an unmanaged change.
  • Any hosted or external model call needs explicit customer policy review first.

Checklist

Security and handoff

The ownership and access questions to settle before production use.

A handoff guide beside a secure equipment case and key
  • Who owns admin credentials, and where are they stored?
  • How is temporary remote access approved, logged, and removed after handoff?
  • Are AI services reachable from the public internet? The default answer should be no.
  • Who runs backups, how often, and when was restore last verified?
  • What is documented for handoff, and who owns updates afterward?

Evaluation tools

Test the workflow before production.

Use the benchmark, sample data, buyer brief, and cost workbook to make the decision reviewable.

14-test industrial manual benchmark

A pass/fail matrix for known answers, wrong assets and revisions, missing evidence, conflicting sources, access boundaries, source removal, latency, and handoff.

Synthetic industrial manual dataset

A fictional document pack with revision traps, conflicting instructions, missing answers, service bulletins, and withdrawn sources. It contains no customer data.

Manufacturing pilot buyer brief

A concise PDF for choosing one document workflow, setting the source boundary, testing failure cases, and deciding whether a pilot should continue.

36-month pilot cost workbook

An editable workbook for comparing existing hardware, customer-owned equipment, and dedicated private hosting with assumptions kept visible.

Want this handled with you?

Turn these decisions into a working $999 pilot.

The fit review is free. If the workflow and hardware match, we install the private AI workspace and test it with your approved documents.

Book a 20-minute fit call