AI Communications Governance Is a Risk Discipline, Not Just a Recordkeeping Decision

AI communications governance is fundamentally a risk management challenge, not just a recordkeeping decision. While firms focus on whether AI-generated content must be archived, the greater risks include inaccurate outputs, data leakage, AI-washing, customer harm, model drift, and autonomous actions. Regulators such as FINRA, the FCA, and the EU increasingly emphasize supervision, accountability, transparency, and risk controls over retention alone. Effective governance requires risk-based policies, human oversight, and monitoring for unauthorized AI use. Recordkeeping is necessary, but it is only evidence of good governance—not the governance itself.

AI Communications Governance Is a Risk Discipline, Not Just a Recordkeeping Decision

AI communications governance is fundamentally a risk management challenge, not just a recordkeeping decision. While firms focus on whether AI-generated content must be archived, the greater risks include inaccurate outputs, data leakage, AI-washing, customer harm, model drift, and autonomous actions. Regulators such as FINRA, the FCA, and the EU increasingly emphasize supervision, accountability, transparency, and risk controls over retention alone. Effective governance requires risk-based policies, human oversight, and monitoring for unauthorized AI use. Recordkeeping is necessary, but it is only evidence of good governance—not the governance itself.