Felaris AI

AI in a regulated company is a production system. It requires documented data lineage, controlled change management, validated outputs, and clear executive accountability. The firms that succeed with AI are the firms that already know how to run a production system under FDA, EU MDR, GDPR, NIS2, SOX, and EU AI Act obligations. The firms that fail with AI are the firms that treat it as a pilot programme that lives outside the operating model.

We argue this position publicly. The firm's submission to the UN Global Dialogue on AI Governance (22 April 2026) is the canonical statement of the Felaris AI position.

Executive-level AI leadership for organizations where AI has become a board-level question and no one at the leadership table owns the answer. Fractional CAIO in the US and Europe, Interim CAIO in the Caribbean. The work is identical.

The data foundation an AI programme requires is the same foundation an ERP programme produces. The validation discipline AI requires in a regulated environment is the same discipline Computer System Validation produces. The governance an AI committee requires is the same governance a board-level technology committee already runs. Felaris AI does not operate as a separate practice. It operates as the AI face of the same operator team.

Operator-led capability building for executives, boards, and operating teams. Modular, audience-specific, designed to transfer real operating discipline rather than to certify attendance. Three modules: AI Literacy for Executives, AI Governance for Regulated Boards, AI Foundations for Operating Teams.

The firm's public AI work, including the UN submission, the Letters to Leadership white paper series, and selected research on AI governance, regulation, and operating practice in regulated mid-market companies.

Data, process, and governance work that AI requires before models move to production. Also the recovery path for AI programmes that have already stalled. Twenty-five years of ERP and compliance experience applied to the AI problem.