Integrated Quality Management within GRC: A Foundation for Responsible Agentic AI
Governance defines what should be achieved. Risk Management determines what could go wrong. Compliance establishes what must be respected. Quality Management ensures that processes and their outcomes consistently fulfill requirements & intended objectives.
Together, they establish an integrated management system for responsible human & AI-driven enterprise operations.
Event-driven SIPOC model for integrated GRC & Quality Management
Ensure that enterprise human & AI operations consistently produce reliable, compliant, risk-controlled & valuable outcomes.
1. Establish Integrated Quality & GRC Governance
Define quality policy, governance & accountability.
2. Assure Data Quality
Validate data integrity, provenance & fitness for purpose.
3. Assure Process & AI Agent Quality
Validate process design, agent behavior, decision rights & controls.
4. Manage Risks, Compliance & Controls
Assess exposure, enforce controls, resolve nonconformities.
5. Monitor Quality & Outcomes
Evaluate quality, effectiveness & intended outcomes.
6. Improve Enterprise Processes & AI Systems
Implement corrective actions & process improvements.
Embedding Quality Management into GRC provides three principal benefits:
First, it transforms quality from a specialized management function into an enterprise-wide responsibility for achieving intended results.
Second, it connects data quality with process quality & outcome quality, which is essential for responsible Agentic AI.
Third, it makes governance actionable: policies, risks & quality requirements become embedded in the processes through which human and AI agents create value.
Using the following link you can access this sandbox model in the ProcessHorizon web app and adapt it to your needs (easy customizing) and export or print the automagically created visual AllinOne event-driven SIPOC map as a PDF document or share it with your peers: https://app.processhorizon.com/enterprises/msQJebt1a6k8HwC2tkgcszT2/frontend