A paper series on sovereign digital resilience — data sovereignty, critical digital infrastructure, AI governance, and exit-capable design for systems of public record.

The series follows one chain: intent must stay traceable, decisions must stay answerable, and the evidence must have a fixed comparator.

Independent practitioner. Robotiqa Technologies Ltd. is the author's incorporated consulting practice and research affiliation; it is not a university or academic appointment.

ORCID iD 0009-0003-1677-684X · Google Scholar · SSRN · Zenodo

The AI operating model

what changes when delivery compresses

December 2025

The AI Gateway Advantage

Value over Spend. Smart Work over Hard Work.

A practitioner’s operating model for scaling enterprise AI without vendor lock-in. Why token spend is the wrong metric, how an org-owned AI gateway turns telemetry into value, how to engineer exit cost toward zero, and why sovereignty is an enforced routing policy rather than a paragraph in a document.

December 2025

The Intent Bottleneck

When AI Compresses Delivery, Strategy Becomes the Constraint

AI-native delivery compresses the last of six stages between an institution’s covenant and running software. By Amdahl’s law the total gain is bounded by the five it never touches — and cheap construction on an undisciplined intent pipeline just builds the wrong things faster. An operating model for the upper chain, and for intent provenance: the unbroken line from a stated obligation to the test that proves it in production.

April 2026SSRN

Governing Agentic AI

In Systems of Public Record — Governance Is the Accelerant

Agentic AI in systems of public record: a threat model, four principles, an autonomy ladder, and the control plane that makes governance the accelerant.

August 2026

Who Picked the Model?

Governing Automatic Model Selection in Enterprise AI

Model selection used to be a procurement decision: made once, by named people, with a contract behind it. In 2026 it became a runtime decision, made per request by a router on cost, latency and availability signals, with nothing behind it but a policy nobody owns. This paper separates the rules a router must obey from the signals it may optimize, names the record every call must leave behind — selection provenance — and argues that the router, not the model, is the new concentration point to engineer an exit from.

Long-horizon accountability

what must still be answerable later

Foundations

what long-lived systems owe the record

Short practitioner papers. References are being added on the next revision of Century-Scale Systems and Tokenized Title.

Earlier Articles

Selected earlier writing on architecture, platform strategy, and technology leadership.