AI Governance Framework
Responsible, Explainable, Auditable, Policy-Driven, Sovereign
Enterprise AI governance ensuring every decision is ethical, transparent, traceable, compliant, and under your control. Built for BFSI and regulated industries.
The Five Principles
Each principle is enforced at runtime across every AI interaction, ensuring enterprise-grade governance without compromising performance.
Human-in-the-Loop (HITL)
AI augments human decision-making without replacing accountability. Every critical decision maintains human oversight with confidence-aware approvals.
AI proposes but does not conclude
AI generates recommendations and analysis but final decisions rest with human experts who understand context and consequences.
AI explains but does not obscure
Every AI output includes clear reasoning that domain experts can validate. No black-box decisions in regulated environments.
AI learns but never invisibly
Model improvements and adaptations are logged, reviewed, and approved. No silent updates that change system behavior.
Accept / Modify / Reject Cycle
Accept
Human approves AI recommendation with full confidence
Modify
Human adjusts AI output with tracked changes
Reject
Human overrides AI with documented reasoning
Confidence-Aware Approvals
REAPS Compliance Levels
Choose the governance level that matches your regulatory requirements and risk profile.
Basic
Internal tools and development
Standard
Customer-facing applications
Enterprise
Regulated industries
Critical
EnhancedFinancial decisions, healthcare
Ready to Implement REAPS Governance?
Talk to our experts to understand how REAPS can be implemented in your organization. Book a consultation to discuss your requirements.