About
Built by someone who had to
make it work for real.
Nine years in FDA-regulated IT. A decade observing the exact compliance gap this architecture closes. The math to prove it works.
Ahmed M. Mansour
Founder & Principal Architect · Steward and Sync LLC
The STS-001 architecture started from a specific observation made inside GxP-regulated pharma IT: separation of duties, electronic signatures, tamper-evident audit trails, and reviewer independence already describe exactly what AI governance should look like. Nobody had encoded them as architecture. Every existing system layered policy on top. Policy is bypassable.
The insight was to move the enforcement point from the application layer to the persistence layer — and to replace the probabilistic policy engine with a deterministic mathematical function. The result is a system where non-compliant writes are structurally impossible for any actor: human, AI, script, or pipeline.
The companion mathematics — valuation-metric codes, the Gap-3 theorem, the finite-pattern engine — were developed to prove the authorization function is correct. Not heuristically correct. Exhaustively verified across 13.8 billion seeds with zero exceptions.
The system runs live on a sovereign on-premise GPU cluster with no cloud dependency. More than 8.3 million authorized decisions minted. The enforcement gate is active.
Career
Nine years validating computerized systems in FDA-regulated environments — Takeda, Sun Pharma, Astellas, Fate Therapeutics, Mirati, Intercept. 21 CFR Part 11, GAMP 5, IQ/OQ/PQ, ALCOA+, GxP CSV. That career is where the problem statement came from. This architecture is the answer.
By the Numbers
Program
NSF I-Corps Northeast Hub
Lehigh University · Propelus Track · June 2026
Customer discovery: defense, pharma/GxP, and critical infrastructure operators deploying agentic AI in regulated environments.
Intellectual Property
Five U.S. Provisional Patents Pending
STS-001 family · App. Nos. 64/034,060 → 64/077,730
Counsel: SOW Law · Non-provisional target April 2027
Why Now
Agentic AI is entering regulated industries. Nothing governs it at the write layer.
Regulatory Pressure
EU AI Act Article 12 requires tamper-evident logging for high-risk AI systems. FDA guidance on AI/ML in regulated workflows demands pre-execution traceability. SOX, HIPAA, and NERC CIP require audit artifacts that prove authorization preceded action — not just logs of what happened.
The Gap
Every AI governance product on the market operates at the application layer — guardrails, content filters, behavioral monitors. None enforce authorization at the persistence layer. None produce a cryptographic pre-execution receipt. The audit trail they generate records what happened. It does not prove what was authorized before it happened.
The Moment
AI agents are being deployed as first-class actors in LIMS, MES, EHR, and trading systems. The question is no longer whether AI will write to systems of record — it is whether those writes will be authorized before they happen. STS-001 is the first architecture that enforces this structurally, for any actor.
Applicable Frameworks — Encoded by Construction
Working with a limited set of design partners.
Regulated industries: pharma, finance, critical infrastructure, defense.