AI Governance

AI governance is the operating framework an organization uses to decide how AI systems are approved, deployed, monitored, and retired. It combines policies, processes, and technical controls so AI stays reliable, fair, secure, and compliant with regulations such as the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001.

How it works

A governance program typically defines who can use which AI models for what, sets approval workflows for new use cases, and applies guardrails around data access, privacy, and outputs. It pairs human accountability (review boards, owners, audit trails) with technical controls (access permissions, logging, data masking, output monitoring). Maturity is still early — most organizations are still standing up formal AI governance, and few have fully operationalized responsible-AI controls across every use case.

How it applies in Salesforce and a GPTfy BYOM context

In Salesforce, governance means controlling which users can invoke AI, what records the AI can read, and how sensitive data is handled before it reaches a model. GPTfy is a Bring Your Own Model (BYOM) layer that runs your chosen LLM (Claude, GPT, Gemini) inside Salesforce, so governance maps directly onto existing org controls — profiles, permission sets, and field-level security — plus AI-specific safeguards like PII masking and prompt/response logging.

Concrete example: A bank lets service agents use AI to draft Case replies. Governance requires that account numbers never leave the org. With GPTfy, PII masking strips sensitive fields before the prompt is sent to the model, every call is logged for audit, and only permissioned profiles can run the prompt — satisfying internal controls without standing up a separate platform.

FAQ

What is the goal of AI governance? To ensure AI is used responsibly and in compliance — reliable, fair, secure, and auditable — while still letting teams move quickly on approved use cases.

Which AI governance frameworks matter most? NIST AI RMF, ISO/IEC 42001, and the EU AI Act are the most referenced; large enterprises often layer two or three by jurisdiction and risk.

How does GPTfy support AI governance in Salesforce? By running on existing Salesforce permissions and security, masking PII before data reaches the model, and logging every AI call for audit.