leo paz

Leo Pasqualin

Systems Architect focused on AI governance, failure modes, and recoverable automation

I design systems where AI can propose actions without silently causing irreversible damage.

My work centers on determinism, explicit constraints, auditability, and human-in-the-loop control.

Most of what I build exists to answer one question: "What happens when this system is wrong?"

Systems & Artifacts

These artifacts are working documents: playbooks, diagnostic tools, and guardrails used to design and evaluate complex systems.

PDF artifact

The Prompt Governor

A governance layer for AI prompting that makes "vibes-based" prompts illegal. This is the core system. The artifacts below are extracted control surfaces or applied examples.

What this shows: How I think about guardrails, accountability, and making AI workflows auditable.

System architecture

Siftwise

A deterministic file-intelligence system. Enforces explicit proposal vs execution separation, governance checks before any action, journaling, reversibility, and deterministic fallbacks when confidence is low.

What this shows: A practical testbed for AI governance principles under real constraints. Standalone product, referenced here as a systems artifact.

PDF artifact

Governor's Checklist

An operational control extracted from The Prompt Governor.

What this shows: How I enforce accountability before execution.

PDF artifact

Automation Readiness Gate

An operational control extracted from The Prompt Governor.

What this shows: How I prevent people from automating chaos and calling it efficiency.

PDF artifact

Prompt Failure Diagnostic Sheet

An operational control extracted from The Prompt Governor.

What this shows: How I turn AI "hallucinations" into measurable failure modes.

SOP

Governed Sales Order Workflow (Sanitized)

A production sales-order system redesigned to be observable, testable, and automation-ready — without premature autonomy.

What this shows: How I translate governance theory into real operational systems that humans and future agents can safely execute.

About

I work at the intersection of systems design, automation, and AI governance.

My background is not in chasing novelty, but in preventing fragile systems—especially those that fail quietly, at scale, and without clear ownership.

I care about:

  • – Clear system boundaries
  • – Explicit responsibility
  • – Recoverability over cleverness
  • – Humans remaining accountable, even when AI is involved

Most of my work is exploratory by design. Some of it becomes products. All of it is governed.

Contact

Email: leo@bbstrats.com

I read everything. Replies may be slow.