The Private AI Readiness Checklist
Assess workflow fit, data boundaries, model requirements, controls, evaluation, and operations before committing budget to a pilot.
Read the checklistField notes from production AI.
White papers, architecture references, and lessons learned from the deployments most vendors don't want to talk about.
Research pipeline
What we are developing next.
- Agentic AI for GovernmentGoverned rollout patterns for procurement-heavy environments.
- AI Red-Teaming Field GuideConcrete tests for prompt injection, agent abuse, and data leakage.
- Private AI by IndustryReference patterns for media, legal, and physical-security workflows.
Practical field guide
The Private AI Readiness Checklist
A useful first assessment is less about choosing a model and more about proving that one workflow, one data boundary, and one operating owner are ready.
Score each category before funding a pilot. A weak answer does not automatically stop the project; it identifies the work the pilot must include.
Workflow · Data · Controls · Operations
Workflow
Name a bounded, repeatable process with an accountable owner, measurable baseline, and clear point where a human approves consequential action.
Data boundary
Classify the information the system may read, retain, and produce. Document where it can travel and which identities may access it.
Model fit
Test candidate models against representative tasks. Measure quality, latency, context limits, deployment constraints, and total operating cost.
Controls
Define authentication, authorization, tool permissions, approval gates, logging, retention, and a reliable way to stop or roll back the system.
Evaluation
Create a versioned test set with expected outcomes, prohibited behavior, security probes, and thresholds that must pass before release.
Operations
Assign owners for monitoring, incident response, model and prompt changes, cost review, user support, and periodic access recertification.
Need a decision-ready starting point?
Turn the checklist into a working plan.
Bring one workflow, its data boundary, and its operating constraints. We will help define the next practical step.