Private AI Decision Record · fit assessment

Qualify the workload before selecting the machine.

Describe one real job, its data boundary, operating constraints, and required service level. HONONOH will use this record to decide whether a Private AI Decision Record is justified and which deployment lanes deserve measured testing.

Start the assessment Compare deployment paths

About 6 minutes. Do not upload or paste confidential records, credentials, personal data, or regulated source material.

One workload · one owner · one measurable exit

Build the minimum basis for a deployment decision.

This assessment does not select hardware. It identifies the representative benchmark, control boundary, site conditions, and operating responsibility that must be proven first.

WorkloadNot defined yet

Required resultNot defined yet

Data boundaryNot defined yet

Users and demandNot defined yet

Operating ownerNot defined yet

Possible outputs: advance to a bounded Decision Record, collect missing evidence, use an approved hosted service, or stop the private deployment path.

Do not fill this out:

1 of 4 · Workload and resultAbout 6 minutes

Workload and result

Start with one bounded job—not a general AI ambition.

What recurring job should the system help complete? What measurable result must improve? What can the system prepare, and what must a person authorize? Who owns the operating result?

Submitting does not create a consulting engagement, select infrastructure, or authorize access, purchases, system changes, or external actions.

Qualify the workload before selecting the machine.

Build the minimum basis for a deployment decision.

Workload and result

Data and systems

Capacity and operations

Ownership and fit