The EU AI Act is live. U.S. executive orders are tightening. Organizations without a governance framework are now a regulatory target. EWSolutions builds the accountability structures, risk controls, and compliance architecture that protect your AI investment – and reduce program costs by over 91%.


The EU AI Act, U.S. executive orders, and sector-specific regulations are rewriting the rules for enterprise AI. EWSolutions builds governance frameworks that satisfy today’s requirements and adapt to tomorrow’s - so compliance is built in, not bolted on.
Responsible AI isn’t a values statement - it is an operational architecture. EWSolutions designs ethical frameworks with real enforcement mechanisms: model audits, bias controls, explainability requirements, and human oversight structures that function in practice, not just in policy.
When an AI system produces a harmful output, organizations with no governance framework have no answer. EWSolutions builds the accountability chains, escalation paths, and documentation protocols that give your organization a clear, defensible position - before you need it.
Organizations that establish AI governance frameworks proactively control their implementation timeline and costs. Those that wait face mandatory remediation under regulatory pressure - typically at three to five times the cost. EWSolutions named AI Governance its primary strategic focus for 2026 because the window for proactive action is closing.
Every EWSolutions AI governance engagement is personally directed by David Marco, PhD, whose career defining the standards of enterprise data governance positions him as the natural authority for the field’s most urgent evolution: governing artificial intelligence at scale.
Where others are still drafting AI governance principles, David Marco, PhD is delivering operational frameworks – accountability structures, risk controls, and compliance architectures built from 28 years of enterprise program leadership at organizations where governance failure is not an option.

President & Executive Advisor, EWSolutions
Ronald R. Schrimp, Sr.
SVP & Chief Data and Security Officer, UHG / Ingenix
“Mayo Clinic’s Enterprise Data Trust is already realizing palpable success from our cancer center projects, enabling analysis of clinical trial capture and accrual patterns, patient volumes, and clinical trial patient filtering. An infection analytics project standardized data definition and capture of infection-related case data across the enterprise – enabling a single standardized, enterprise-based reporting and analysis environment.”
Mayo Clinic
Enterprise Data Trust - Published in JAMIA, Scholarly Journal of Informatics in Health & Biomedicine
Ian Rowlands
Vice President of Product Management, ASG
Stephen C. Grohovsky
Manager, Consumer/Product Services, Thomson Consumer Electronics
Monica B. Cunningham
Director of Information Resource Management, Harvard Pilgrim HealthCare
The window for proactive AI governance is closing. Schedule a consultation with David Marco, PhD, and build the framework that protects your organization before regulators do it for you.
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