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@tier9ai

Tier9AI

Accountable AI delivery for mid-market B2B teams—from stalled pilot to one secure, measurable workflow.

Tier9AI

Tier9AI

From AI pilot to controlled production.
One workflow. One accountable owner. One measurable result.

Tier9AI is a founder-led AI delivery practice for mid-market B2B software and technology-enabled service companies. We help teams choose one valuable workflow, establish its operating baseline, and move it into secure, controlled production with explicit human authority and measurable outcomes.

Open delivery artifacts

Artifact The question it helps answer Start here
AI Readiness Checklist Is this workflow ready for a controlled AI pilot? ai-readiness-checklist
AI Evaluation Harness Does the workflow meet explicit quality, safety, and release thresholds? ai-evaluation-harness
Controlled AI Workflow Reference How should policy gates, approvals, evaluation, and audit logging fit together? controlled-ai-workflow-reference

Every artifact runs locally without a paid model API. The defaults are deliberately small enough to understand, adapt, and challenge.

Our operating principles

  • Start with a high-friction workflow, not a broad AI mandate.
  • Name the business outcome, baseline, accountable owner, and stop condition.
  • Keep irreversible or high-impact decisions under explicit human authority.
  • Evaluate before release and fail closed when required evidence is missing.
  • Record decisions and control outcomes without retaining unnecessary sensitive content.
  • Measure operational value after launch—not demo quality before it.

Work with Tier9AI

These repositories are educational reference implementations, not compliance certifications. Adapt their controls and evidence requirements to your data, users, regulations, and risk tolerance.

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  1. ai-evaluation-harness ai-evaluation-harness Public

    Vendor-neutral, no-key regression harness for controlled AI workflows with evidence and release gates.

    Python

  2. ai-readiness-checklist ai-readiness-checklist Public

    Evidence-based checklist and scorer for deciding whether one AI workflow is ready for a controlled pilot.

    Python

  3. controlled-ai-workflow-reference controlled-ai-workflow-reference Public

    No-key reference implementation for policy-gated, human-approved AI workflows with evaluation and audit logs.

    Python

Repositories

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