Your AI Pilots Keep Stalling. Here's Why.
The bottleneck isn't the model—it's your organizational readiness.
Most companies rush to deploy AI without fixing foundational gaps in data, workflows, and leadership alignment.
We diagnose these bottlenecks before you waste another dollar on pilots that won't scale.
✓ 247 organizations assessed this month
Most AI Initiatives Fail at the Same Point
Organizations invest heavily in AI pilots, hire data scientists, and deploy cutting-edge models. Then everything stalls. Not because the technology failed—but because the organization wasn't ready to support it.
The real constraints aren't technical. They're organizational: scattered governance, incompatible data systems, unclear decision rights, and teams that don't know how to work with AI.
Retrofitting readiness after deployment is exponentially harder—and more expensive—than building it in from the start.
Intelligence Resources™: The Missing Layer
Intelligence Resources™ is the governance function that sits between your strategy and your AI systems. It measures readiness, identifies bottlenecks, and builds the organizational capacity to adopt AI sustainably—not just deploy it once.
Explore the full Intelligence Resources™ framework →
Assess Readiness
Diagnose organizational constraints before you scale. Know exactly what's blocking adoption.
Build Governance
Turn principles into traceable decisions. Embed oversight into workflows, not as afterthoughts.
Scale with Integrity
Deploy AI that stays aligned with values, risk posture, and business intent—permanently.
Start With Your Free AI Intelligence Score™
AI Intelligence Score™
This 7-minute assessment gives you a clear snapshot of whether your organization is actually ready to support AI—not just excited about it.
- ✓ Governance Signal: How decisions and policies around AI are handled today
- ✓ Operational Signal: Whether workflows and data can realistically support AI
- ✓ Alignment Signal: How well leadership and teams agree on "good AI"
A personalized AI Intelligence Score™ showing where you're strong, where you're exposed, and whether your next move should be Ready, Defer, or Redirect.
Get Your Free Score →After Tier 0, We Go Deeper
Full Fit Filter Rubric™ analysis across seven governance pillars with 3-6 month roadmap
Live governance platform with intake, routing, oversight, and compliance-grade evidence
Why I Built Ciph Lab
I founded Ciph Lab after watching the same pattern repeat across multiple Fortune 500 companies: organizations would deploy AI, then realize too late they weren't structurally ready for it.
My background is in the places where process, risk, and technology collide—over 13 years managing legal operations and global patent portfolios at Big Law and Big Tech (Google, Amazon Lab126), where a 0.1% error rate in the foundation leads to 100% failure at scale.
Most recently at Okta, I was brought in as the company faced a surge in AI-driven initiatives. I developed AI governance policies from scratch, streamlined legal workflows, and built the operational frameworks needed to manage new technology adoption—the exact work that became Intelligence Resources™.
At Apple and Okta, I saw how companies that scale successfully don't retrofit compliance—they architect it into the foundation. That's what Intelligence Resources™ does for AI.
- Founder & CEO at Ciph Lab, architecting governance frameworks for AI-native enterprises
- Developed AI governance policies and operational frameworks at Okta during rapid AI expansion
- 13+ years in "zero-defect" operational culture at Haley Guiliano (Ropes & Gray spinoff), Amazon Lab126, Apple, and Google
- Managed 1,200+ global patent filings and oversaw 10+ outside counsel law firms
- B.S. Legal Studies, Graduate Certificate in Business Administration (UC Berkeley), MBA Candidate
Ciph Lab exists because the gap between AI deployment and organizational readiness is too expensive to ignore—and too predictable to keep repeating.