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 with how AI will actually be used.
"Lab" is for the build — to design and test the diagnostics, roles, and operating layers that make AI readiness something you can track, not just talk about.
Internally, Intelligence Resources™ runs on a seven-pillar model across governance, oversight, data, risk, talent, operations, and measurement. Externally, leaders experience it through three focus areas they can act on inside their own organizations.
We start by measuring where you really are. Tools like the AI Intelligence Score™ and Tier 0 readiness snapshot highlight whether your current structures can support AI, or whether new foundations need to be built first.
We help translate policy, risk appetite, and regulatory expectations into living governance — decision rights, review paths, and continuous oversight that keep AI systems accountable over time, not just at go-live.
We support the shift away from legacy scaffolding by building diagnostic and workflow systems — like the Fit Filter Rubric™ — that route initiatives through Ready / Defer / Redirect and keep AI aligned with real business intent.
Ciph Lab serves decision-makers who are ready to move beyond AI slogans and into operating discipline. Our work is built for leaders in legal operations, risk, product, security, and strategy who want AI to be governed, explainable, and durable — not just experimental.
© 2025 Ciph Lab™, Juanita Alvarez. All rights reserved.
San Francisco, CA
This flagship artifact contains founder-originated IP conceived and developed by Ciph Lab™. All diagnostic frameworks, overlays, AI Intelligence Score™, and Intelligence Resources™ tools are protected under trademark and copyright. Unauthorized reproduction, distribution, or adaptation is strictly prohibited. Deployment is available only through licensed enterprise engagements or strategic advisory.