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Pyagna
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AI Governance & Implementation

AI Governance & Implementation for Real-World Systems

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.

  • AI Governance
  • Risk & Compliance Alignment
  • Practical Implementation
  • Built for Regulated Environments

Practical AI consulting for organizations that need more than experimentation

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.

Executive sponsorship & governance operating model

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.

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GRC integration & organizational fit

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.

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Program scope & AI risk strategy

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.

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AI system inventory, mapping & impact assessments

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.

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AI risk measurement & quantitative assessment

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.

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Ongoing risk management & lifecycle maintenance

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.

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ISO 42001 readiness & alignment with ISO 27001

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.

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Why organizations choose Pyagna

  • Governance with practical implementation in mind
  • Strong fit for regulated and risk-sensitive environments
  • Clear, executive-friendly advisory
  • Focus on usable frameworks, not theoretical documents
  • Ability to connect product, engineering, and compliance concerns

Built for teams operating in complex environments

Pyagna is especially relevant where trust, accountability, and compliance matter.

FintechInsuranceSaaSHealthcare-adjacent platformsEnterprise internal AI systems

How we work

  1. Step 1

    Assess

    Understand use cases, risks, stakeholders, and current maturity.

  2. Step 2

    Govern

    Define the policies, controls, workflows, and accountability structures needed.

  3. Step 3

    Implement

    Support teams in putting governance into action inside actual AI systems and delivery processes.

Building AI without governance creates risk. Building governance without implementation creates shelfware.

Pyagna helps you do both — responsibly and practically.