Organizations are deploying AI
faster than they can govern it.
For the past several years I've been researching the economics, governance, security, and operational challenges that emerge after AI reaches production scale.
Why This Exists
Most AI discussions focus on model capabilities. My work focuses on what happens after deployment. As AI systems become embedded in products, organizations face a new class of problems involving economics, governance, security, reliability, and operational control. The Production AI Governance Framework exists to help organizations understand, measure, and manage those challenges.
The Solution: The Governance Framework
To address the operational entropy of scaling models, my research is distilled into a centripetal governance model. This coordinates the operational boundaries of **Economics**, **Product**, **Engineering**, **Security**, and **Operations**, culminating in **Runtime Governance** (Exogram) to lock down the verified state at the network layer.
The Evidence
This research program is verified across multi-year essays published in major tech outlets, open-source repositories, educational courses, and running SaaS systems.
The Production AI Governance Architecture
Every resource on this site is a node in a single multi-year research program exploring AI operational limits.
Background & Credentials
R&D capital reported as innovation when 73% funds maintenance
$1.2M+ annually in misallocated engineering spend
No financial translation layer between engineering and the board
Richard Ewing
I operate as The AI Economist. The AI Economist is how I apply that system to AI.
I do not manage backlogs. I manage P&Ls. I sit at the exact intersection of CPO thinking, CFO rigor, and CTO reality.
"Most executives have two disconnected languages: Tech and Finance."
The Tech Language: velocity, backlog, debt, sprints, architecture.
The Finance Language: ROI, EBITDA, cash flow, payback, risk.
Few people translate cleanly between them. That translation layer is where real influence lives. I build the category where product management meets corporate finance and technical reality. My frameworks aren't theoretical—they are financial wrappers around technical problems.
"You cannot build an autonomous AI being on a foundation that hallucinates and forgets."
Everyone is trying to build AGI on top of stochastic text predictors. As we move from basic chat wrappers to autonomous systems taking actions in the real world over the next decade, admissibility and accountability become existential requirements.
I founded Exogram AI to be the deterministic control plane for the AGI era. We capture immediate value today by injecting persistent memory and structured inference (Layers 1 and 2). We enforce strict cryptographic guardrails (Layers 3 and 4) to act as the regulatory and operational baseline that makes AGI safe to deploy.
Domain Expertise✦ AI-Enhanced
AI Unit Economics & Capital Auditing
Identifying and eliminating AI hallucination debt, zombie infrastructure, and structural margin collapse in B2B SaaS environments.
Deterministic AI Infrastructure
Architecting admissibility control planes and state-hashing commit enforcement to prevent autonomous agent liability.
The Math of Ruin (R&D Efficiency)
Shifting engineering metrics from shipping velocity to Cost of Goods Sold efficiency and gross margin preservation.
Revenue Resurrection Specialist
Inherited stagnant P&L, drove 200% YoY growth to $20M. Scaled SaaS from $0 to $25M ARR. $5M cost reduction.
The Methodology
APER™ Diagnostic
Actionable Product Economic Review. Forensic audit of engineering throughput vs. revenue impact.
Q-PEP™ Protocol
Qualitative-Profitability Efficiency Protocol. Surgery for unit-economic insolvency.
Product Debt Index™
AI-powered forensic engine to quantify capital leakage in your backlog.
The AI Economist™
15+ years of methodology distilled into an executive playbook. O'Reilly book in progress.
Credentials
Ready to work with a AI Economist?
Want to apply this to your organization?
Run a free diagnostic first. If the numbers concern you, book a session to build a remediation plan.
Richard Ewing — AI Economist & Capital Auditor