Pariveda’s lightweight AI governance framework is built to help organizations overcome the fear, uncertainty, and risk that often stall promising AI initiatives. By enabling responsible, scalable AI adoption, our approach empowers teams to move faster by creating clarity and structure across key governance touchpoints. Our framework centers on three foundational components: establishing a cross-functional AI governance team, building an AI intake and qualification process, and integrating AI-specific checkpoints into existing PMO processes.

AWS Products and Services Supported

Compute & Integration: AWS Lambda, Amazon API Gateway

Storage & Content Delivery: Amazon S3

Identity & Access Management: Amazon Cognito

Data Management: Amazon DynamoDB

Generative AI: Bedrock, Amazon Q

Cross-Functional AI Governance Team

Approach

The first step in effective AI governance is forming a lean, cross-functional team with representation from Legal, Cybersecurity, Data, Enterprise Risk, IT, Functional Units, and the PMO. This team drives the vision and strategy for AI adoption and provides oversight throughout the AI lifecycle, ensuring trustworthy, compliant, and secure AI practices.

Deliverables

AI Governance Vision & Strategy Document – Defines the organization’s AI goals, risk posture, and alignment with business objectives.

Operating Model Activation Kit – Includes meeting cadences, governance council charters, sample agendas, and a defined purpose.

RACSI Framework – Clearly defined roles and responsibilities to drive accountability across teams.

Regulatory and Compliance Alignment Plan – Ensures the organization stays ahead of evolving AI legislation and regulatory requirements.

AI Intake and Use Case Qualification

Approach

To move from idea to impact, organizations need a streamlined intake process that balances value, risk, and feasibility without overcomplicating early innovation. Pariveda helps you set up an efficient method to surface, assess, and prioritize AI opportunities using a practical, business-aligned framework.

Deliverables

AI Concept Card Template – A template for capturing opportunity, feasibility, value, and risk for each use case.

ResponsiAI: AI Value and Risk Assessment – Customized scoring model that enables rapid decision-making and alignment with strategic priorities.

Governance Playbook – Defines structure, cadence, and decision criteria for intake prioritization.

-Intake Process Integration Guide – Recommendations for embedding the AI intake process into existing PMO or innovation workflows.

PMO Process Integration with AI-Specific Checkpoints

Approach

Most organizations already have design, development, and deployment processes in place—but they’re not built for AI. Pariveda helps you layer AI-specific safeguards into existing workflows, ensuring risk and compliance are addressed without slowing delivery.

Deliverables

AI Risk Assessment Checklist – Applied during requirements and design phases to validate feasibility and guardrails.

Prompt Library & Guardrail Definition Toolkit – Ensures safe and consistent prompt usage during GenAI development.

Adversarial Testing Playbook – Tools and methods to expose vulnerabilities and edge cases during testing.

Go-Live Governance Sign-Off Template – Final checkpoint artifact to document risk profile changes and ensure deployment readiness.

AI Governance Process Map – Customized visualization of how AI-specific checkpoints overlay onto existing SDLC or PMO processes.