Solutions

Every Layer of AI Governance, Unified

From policies and prompts to risk management, AI agent governance, and certification readiness, GOVINAV provides end-to-end AI governance across the entire lifecycle.

01

AI Governance

A comprehensive governance framework that manages enterprise AI usage end to end. Policies, roles and responsibilities, control design, and governance reporting are integrated into a single operational model.

  • Policy & Standards Management
  • Roles & Responsibilities Matrix
  • Control Design & Implementation
  • Governance Reporting
02

Prompt Governance

Manage prompts as enterprise assets. Evaluate them for security, quality, ethics, legal compliance, privacy, and performance, while governing them through version control and approval workflows.

  • Prompt Inventory & Version Management
  • Detection of Prompts Containing Sensitive Corporate or Personal Data
  • Quality & Ethical Assessment
  • Performance Monitoring
03

Risk Governance

Establish a structured approach to identifying, assessing, and managing AI-related operational, legal, ethical, security, and reputational risks. Continuously monitor risks and strengthen organizational resilience.

  • Risk Taxonomy
  • Impact & Likelihood Assessment
  • Risk Mitigation Strategies
  • Continuous Risk Monitoring
04

AI Dependency Governance

Measure and manage your organization's dependency on AI. Gain visibility into AI reliance across critical business processes to strengthen operational resilience and continuity planning.

  • AI Dependency Mapping
  • Criticality Analysis
  • Continuity Planning
  • Resilience Scoring
05

AI Agent Governance

Govern autonomous and semi-autonomous AI agents by defining permissions, enforcing operational boundaries, monitoring behavior, and maintaining full accountability across agent-driven activities.

  • Roles & Permission Management
  • Agent Activity Logging
  • Behavior Monitoring
  • Human Intervention & Override
06

Certification & Compliance

Prepare for AI regulations and standards, including ISO/IEC 42001, the EU AI Act, and the NIST AI RMF. Manage the journey from gap analysis and evidence collection to audit readiness and certification.

  • Gap Analysis
  • Evidence Management
  • Audit Readiness
  • Certification Roadmap

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