80% of AI Projects Fail Before Deployment
RAND Corporation found AI projects fail at twice the rate of traditional IT—and most companies discover too late they're missing critical infrastructure. Don't waste budget on tools your organization can't actually support.
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I'm validating my diagnostic methodology with organizations before launching paid services. You get actionable insights on your readiness gaps. I get data to prove the framework works. No sales calls. No email spam. Just your score + one specific recommendation.
Most AI Budgets Get Wasted at the Same Point
Companies buy AI tools, assign champions, launch pilots. Then discover their data policies block access, approval workflows create 6-week delays, and Legal + Engineering have fundamentally incompatible definitions of "safe AI deployment."
The hidden killers aren't technical—they're organizational: incompatible data systems, unclear decision rights, teams using different risk frameworks, zero governance structure.
Fixing these gaps after you've already bought tools and hired people costs 10× more than diagnosing them first.
Intelligence Resources™: The Layer You're Missing
Intelligence Resources™ sits between your AI strategy and your systems. It diagnoses readiness before deployment, identifies the structural gaps that kill adoption, and builds the organizational capacity to scale AI sustainably—not just run one-off pilots.
Explore the full Intelligence Resources™ framework →
Diagnose First
Identify organizational constraints before spending budget. Know exactly what's blocking adoption.
Build Infrastructure
Turn governance principles into actual workflows. Embed oversight into operations, not as afterthoughts.
Scale Safely
Deploy AI that stays aligned with your risk posture, values, and business intent—permanently.
Start With Your Free AI Intelligence Score™
AI Intelligence Score™
A quick diagnostic that reveals whether your organization is structurally ready to adopt AI—or if you're about to waste budget on tools your teams can't use.
- ✓ Governance Gaps: Whether decisions about AI are actually being made (or just talked about)
- ✓ Operational Reality: If your workflows and data systems can realistically support AI deployment
- ✓ Alignment Check: Whether Legal, Engineering, and Leadership agree on what "safe AI" means
A scored readiness report (0-100) showing where you're strong, where you're exposed, and whether your next move should be Ready, Defer, or Redirect. Delivered in 24 hours.
Get Your Free Score →After Tier 0, We Go Deeper
Full Fit Filter Rubric™ analysis across seven governance pillars with 3-6 month implementation roadmap
Live governance platform with intake, routing, oversight, and compliance-grade audit trails
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Why I Built Ciph Lab
I founded Ciph Lab after watching the same pattern repeat across major tech companies: organizations would deploy AI, then realize too late they weren't structurally ready for it.
My background spans 13+ years building legal operations infrastructure at companies where a 0.1% error rate in the foundation creates 100% failure at scale. I've seen how companies with strong technical teams still fail at AI adoption—not because of the technology, but because their data policies, approval workflows, and cross-functional alignment weren't architected to support it.
I've built infrastructure at companies with fundamentally different security philosophies—some trust-and-verify, others restrict-first. I learned that neither approach is inherently better. They're different risk/velocity tradeoffs. What kills AI projects isn't picking the "wrong" model—it's deploying before checking if your organization is ready.
That's why I developed Intelligence Resources™: a methodology that diagnoses readiness before deployment, then teaches organizations how to redesign their operations for AI. Not a one-size-fits-all playbook—a custom transformation based on your actual structure, regulatory environment, and operational culture.
- Founder & CEO at Ciph Lab, architecting governance frameworks for AI-native enterprises
- Built AI governance policies and operational frameworks at Fortune 500 tech companies
- 13+ years managing infrastructure in "zero-defect" cultures at Big Law and Big Tech
- Managed ~1,400+ global patent filings across multiple jurisdictions and 10+ outside counsel firms
- B.S. Legal Studies, Graduate Certificate in Business Administration (UC Berkeley), MBA Candidate
Companies that scale successfully don't retrofit compliance after deployment—they architect it into the foundation from the start. That's what Intelligence Resources™ does for AI.