I Help Enterprises Stop Losing Money on AI.
R&D capital audits, AI unit economics diagnostics, and the deterministic governance frameworks that turn volatile models into predictable enterprise assets.
Creator of the Production AI Governance Framework · Founder of Exogram
Published in CIO.com · BuiltIn · HackerNoon · MindTheProduct
As Seen In
$7,500+ R&D Audits
Enterprise engagements
436+ Terms Defined
Governance glossary
6 Free Diagnostics
Board-ready instruments
4 Publications
BuiltIn · CIO · HN · MtP
The Bottom Line — 15 Seconds
What Breaks
AI agents execute actions without deterministic governance. Models hallucinate. Costs spiral. Code gets rewritten. Permissions cascade.
What It Costs
POCs cost hundreds. Production costs millions. API bills exceed revenue. Engineering capacity consumed by maintenance, not innovation.
Why
No verification layer between model inference and execution. Guardrails are probabilistic — one guessing system policing another.
The Fix
Deterministic governance infrastructure. Inference is probabilistic. Execution must be deterministic. The agent can guess. The execution layer cannot.
The Engine
Exogram — the deterministic verification layer for AI systems. Not optional. Not best practice. Mandatory.
Why Enterprise AI Fails
These aren't hypothetical risks. They're verified failure patterns with real-world financial consequences.
Unverified Outputs
of GenAI pilots fail to reach production. Your AI generates answers — but who verifies they're correct before they hit a customer?
Margin Collapse
of AI projects fail to deliver business value. AI features cost money every time they run. Without unit economics, your most popular feature becomes your costliest.
Agent Security Gaps
of AI agents have excessive permissions. One prompt injection = full data exfiltration. EchoLeak (CVE-2025-32711) proved zero-click attacks are real.
Capital Misallocation
of companies abandoned most AI initiatives in 2025. Boards can't distinguish building from patching when 60% of R&D goes to maintenance reported as 'innovation.'
How a Single Governance Gap Destroys Margins
Watch an uncontained AI agent escalate from nominal operation to margin collapse. Each stage is preventable with deterministic governance.
Stage 0: Nominal
Agent completes task on first attempt
System operating normally. Single inference pass, direct response.
Tokens
2,400
Latency
340ms
Confidence
94%
Cost/Req
$0.003
Baseline: deterministic governance keeps costs at nominal.
Governance Interception Point
Admissibility gate blocks unapproved operations. Context budget enforced.
See the Exogram interception architecture →This escalation runs on every uncontained AI agent, every session, every day.
Audit Outcomes — Before & After
Real results from R&D Capital Audits. Dollar-denominated findings with measurable remediation.
maintenance costs reported as “innovation”
AI cost reduction achieved
engineering capacity recovered
Results from anonymized R&D Capital Audit engagements.
See how an audit works for your organizationProof of Methodology
These are the tools I use in paid engagements. Try one free.
Ready to See What's Hidden?
Every enterprise has capital leaks. Most just haven't been measured yet. Start with a free tool or go straight to a strategic advisory call.
The AI Economist Newsletter
Subscribe and get the R&D Audit Checklist — The 15 questions I ask in every $7,500 engagement.
Monthly. No fluff. 2,000+ executives read before they decide.