Enterprise AI Governance

Operationalize AI governance beyond policy documents and committee slides.

Enterprise-wide AI governance, policy management, control mapping, obligations management, supervisory workflows, board reporting, and audit assurance for AI adoption across sectors.

Buyer alignment

Designed for cross-functional enterprise buying committees.

CRO / Risk

Create accountable risk ownership, control mapping, and residual risk visibility.

Compliance / Legal

Manage obligations, policy exceptions, regulatory mapping, and evidence readiness.

AI Governance Office

Coordinate responsible AI operating model, approvals, and supervisory workflow.

Internal Audit

Review governance decisions, evidence completeness, and control effectiveness.

Use cases

Where this product creates enterprise control value.

AI policy management

Define, maintain, and operationalize enterprise AI policies.

Control and obligation mapping

Map AI usage and vendor activity to controls, obligations, owners, and due dates.

Maker-checker workflow

Route approvals, exceptions, and remediation through accountable review.

Board reporting

Prepare executive reporting with clear posture, gaps, risks, and remediation actions.

Governance operating model

Create a sustainable AI governance process across business and technology teams.

Cross-sector governance

Suitable for regulated and non-regulated enterprises with AI accountability requirements.

Architecture & integration

Built to fit enterprise deployment and assurance review.

Supports on-premises, private cloud, public cloud, or hybrid patterns depending on customer control, residency, and assurance requirements.

AI inventory, policies, business processes, vendors and model usage
Control library, obligations register, ownership and review workflows
SENTRUM Enterprise AI Governance supervisory layer
Risk, compliance, legal, audit, AI governance office and business owners
Board reporting, evidence packs, assurance reviews and remediation tracking

Security posture

  • RBAC and maker-checker
  • Audit logging
  • Encryption-aware deployment
  • Evidence retention
  • Customer-controlled operations

Integration fit

  • IAM
  • SIEM
  • DLP
  • GRC
  • Ticketing and workflow tools

Regulatory and audit alignment

Strong wording, defensible claims, no overclaiming.

NIST AI RMF alignment

Supports govern, map, measure, and manage operating practices.

ISO/IEC 42001 readiness

Supports AI management-system style governance evidence and review.

EU AI Act style posture

Supports risk classification, accountability, documentation, and oversight patterns.

India and global compliance

Can support DPDP, RBI-style control expectations, and enterprise internal policy requirements without claiming approval.

Next step

Request a product briefing for your sector and operating model.

We can walk through product fit, architecture, pilot scope, deployment model, evidence expectations, and procurement review material.