Phil Baptiste

AI Ops / Business Systems / Internal Tools / Workflow Automation

Phil builds governed internal systems for messy operational work: intake, source preservation, review queues, approval gates, operator dashboards, and recall.

His strongest proof is BackOfHouseOS, a local-first operating model that repeats across revenue operations, job-search decision infrastructure, archive governance, private community operations, inventory workflows, and operator handoff tools.

What This Means In Plain English

Phil turns scattered work into systems people can trust.

The pattern:

1. Capture messy input.
2. Preserve the source.
3. Structure the record.
4. Review uncertainty.
5. Approve what becomes truth.
6. Make the result usable later.

AI can help draft, extract, or summarize, but it does not become authority without human review.

Proof Highlights

• Built BackOfHouseOS, a governed local-first system model with shared operating rules across multiple internal tools.
• Completed BOH Node 01, the first private real-world local-node deployment of the BOH model.
• Built JobRadarOS, a private decision system with 1,546 roles scored, 26 elite opportunities identified, and 112 green opportunities identified.