AI Governance & Implementation
Pyagna helps organizations design, govern, and deploy AI systems responsibly. From governance frameworks and risk controls to implementation support, we help teams adopt AI with clarity, speed, and trust.
Pyagna combines governance thinking with implementation experience—from executive sponsorship and GRC fit through mapping, measurement, and ongoing management—including support aligned with NIST AI RMF and ISO/IEC 42001-style AI management systems.
Establish the authority and cross-functional structure AI governance needs. Effective programs are company-wide initiatives with clear sponsorship so governance is not perceived only as a barrier to delivery.
Details →Integrate AI governance with existing Governance, Risk, and Compliance (GRC) structures instead of duplicating them. Map current processes and owners so AI governance augments what already works.
Details →Define what the program covers (product AI features, internal AI use, models vs. features) and which risks you will track. Scope and risk taxonomy choices determine how deep and wide assessments go.
Details →Build the “Map” layer: inventory AI systems in scope, collect structured context, and run qualitative AI risk or impact assessments (consistent with ISO 42001-style AI impact assessments). Prefer structured questionnaires over unstructured document piles.
Details →Support the “Measure” function: where qualitative mapping shows material risk, define quantitative or empirical tests (e.g., bias, performance, security) appropriate to the risk and system maturity.
Details →Operationalize the “Manage” function: treat AI risk management as continuous. Mitigate, treat, escalate, and maintain oversight through the full lifecycle of each AI system—not a one-time project.
Details →Prepare for ISO/IEC 42001 (AI management system) certification or structured external assurance. Programs that already align with NIST AI RMF are much of the way toward ISO 42001; ISO 27001-certified organizations can often coordinate controls and evidence efficiently.
Details →Pyagna is especially relevant where trust, accountability, and compliance matter.
Understand use cases, risks, stakeholders, and current maturity.
Define the policies, controls, workflows, and accountability structures needed.
Support teams in putting governance into action inside actual AI systems and delivery processes.
Pyagna helps you do both — responsibly and practically.
