Define, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein.
Review proposed AI toolsets and agent use cases across business functions for regulatory, ethical, privacy, security, and business-process readiness.
Establish practical guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight.
Track evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable governance practices for delivery teams.
Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce AI deployments.
Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users.
Enable responsible AI innovation by helping teams move from concept to governed pilots, production readiness, and measurable business outcomes.
Partner with Data Cloud, Data Stewardship, and Integration teams to ensure agent grounding data is accurate, permission-aware, compliant, and fit for intended use.
Develop reusable Agentforce patterns, documentation, training materials, and playbooks to accelerate consistent adoption across Business Groups and World Areas.
Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating remediation actions when issues are identified.
Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce AI capabilities.
Partner with Security, Legal, Compliance, Architecture, and Data teams to ensure AI controls align with Emerson enterprise policies and risk posture.
Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models.
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