Methodology
AI work is scoped around use-case value, data sensitivity, human accountability, approval gates, monitoring, and documented limitations.
AI readiness, control design, human review workflows, data governance, and responsible deployment planning for institutional teams.
AI work is scoped around use-case value, data sensitivity, human accountability, approval gates, monitoring, and documented limitations.