Ciph Lab™ exists to build the missing enterprise function for the AI era—Intelligence Resources™—so organizations can turn AI uncertainty into governed, measurable progress.
My background is in legal operations, governance, and AI integration — the places where process, risk, and technology collide. Over time, I kept seeing the same pattern: AI didn’t fail because models were weak. It failed because the organization wasn’t structurally ready to support intelligent systems.
Ciph Lab was founded to address that gap. We develop the Intelligence Resources™ function to move organizations from –1 to 0 — from scattered ownership and ad hoc oversight to a stable operational baseline for responsible AI.
"Ciph" is for the diagnosis — to decipher where governance, data, and decision systems are out of sync.
"Lab" is for the build — to design and test the diagnostics, roles, and operating layers that make AI readiness trackable.
Internally, Intelligence Resources™ runs on a seven-pillar model. Externally, leaders experience it through three acting focus areas.
Tools like the AI Intelligence Score™ and Tier 0 readiness snapshot highlight whether your current structures can support AI.
Translating policy and regulatory expectations into living governance—decision rights and continuous oversight.
Building diagnostic workflows—like the Fit Filter Rubric™—that keep AI projects aligned with real business intent.
Ciph Lab provides the operational discipline required for sectors where compliance, ethics, and security are non-negotiable. While our frameworks are industry-agnostic, we specialize in:
Scaling intelligent financial systems while maintaining strict regulatory compliance and consumer trust.
Ensuring AI-driven clinical and data workflows are ethical, secure, and fully auditable.
Closing the gap between legal rigor and technical scale for professional services.
The Standard for Agentic Governance • Cross-Industry Ready
© 2025-2026 Ciph Lab™, Juanita Alvarez. All rights reserved.
San Francisco Bay Area