Evidence before assertion
Claims of control should be supported by traceable, decision-relevant evidence.
Company
Building the operating discipline behind trustworthy AI.
SmartRisk was created to help organizations move beyond governance statements and build systems of accountable decisions, effective controls, defensible evidence, and continuous assurance.
Request a conversationOur thesis
Trust is earned through evidence.
AI governance succeeds when organizations can answer clear questions: What AI exists? Who owns the decision? What risk is present? Which controls apply? What evidence demonstrates effectiveness? What changed—and who must act?
SmartRisk connects those questions into a practical operating model for regulated and high-consequence environments.
Accountability by design
Rules, roles, workflow, and escalation should be clear before decisions become urgent.
Proportionate governance
Oversight should reflect intended use, context, consequence, and actual exposure.
Continuous assurance
Governance must remain visible and effective as AI, evidence, and obligations change.
Founder perspective
“Organization sets the rules. Workflow carries the controls. Evidence earns the trust.”
John Spanomanolis
Founder, SmartRisk™ and Foton Consulting
SmartRisk brings together experience in quality, regulatory, risk management, validation, and AI governance to help organizations operationalize responsible AI in the environments where consequence matters.
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