AI Governance Enterprise

Unify AI governance across your enterprise with scalable, board-ready frameworks.

Designed for teams who…

You're a large, complex organisation with distributed AI initiatives across multiple business units, regions or countries. AI adoption is accelerating, but governance is fragmented—different departments apply varying standards, creating compliance gaps and uneven risk exposure. Your board demands enterprise-wide visibility and control, and you're preparing for stringent regulatory requirements across diverse jurisdictions.

This service is designed for organisations that:

  • Are large enterprises or multinational organisations (2,000+ employees)
  • Operate across multiple geographies with diverse regulatory requirements (EU AI Act, NIST, ISO 42001, industry-specific regulations)
  • Have decentralised AI initiatives requiring centralised oversight
  • Face regulatory pressure or board mandates for comprehensive AI governance
  • Need to harmonise AI practices across business units while allowing innovation
  • Operate in highly regulated industries (financial services, healthcare, government, insurance, energy, utilities)

You're a CTO, CIO, COO, CRO, CDAO or Chief Compliance Officer responsible for establishing enterprise-grade AI governance that scales globally whilst meeting diverse regulatory obligations and stakeholder expectations.

Problem → Outcome

Establish a unified, scalable AI governance framework that drives innovation while managing enterprise-wide risks and ensuring global compliance.

Key Outcomes

  • Unified enterprise governance framework: Implement consistent AI governance across all business units, regions and regulatory environments. Eliminate fragmented approaches and uneven risk exposure whilst enabling business units to continue innovating within clear, centrally-defined guardrails.
  • Comprehensive risk visibility and control: Gain executive and board-level visibility into AI risks throughout your global enterprise. The framework integrates AI risk taxonomy with existing enterprise risk management, enabling proactive identification and management of legal, ethical and reputational exposures across all jurisdictions.
  • Regulatory compliance across jurisdictions: Navigate complex, evolving global AI regulations with confidence. The framework adapts to diverse compliance obligations—from the EU AI Act to ISO 42001 to industry-specific requirements—whilst maintaining operational consistency and reducing regulatory penalties.
  • Accelerated enterprise-wide innovation: Clear policies, efficient approval workflows and defined decision rights enable teams across your organisation to scale AI initiatives faster whilst maintaining safety and accountability. Governance becomes a competitive advantage, not an impediment.
  • Measurable governance maturity at scale: Achieve documented enterprise AI governance maturity with TRUSENTA.IO providing unified platform for continuous monitoring, reporting and improvement. Demonstrate to regulators, boards and stakeholders that robust controls exist across your entire organisation.

How the engagement works

Whats Included

This comprehensive enterprise engagement delivers scalable AI governance:

Discovery & Assessment Phase:

  • Enterprise-wide AI governance discovery and current state assessment
  • Stakeholder engagement across all business units and regions
  • Comprehensive AI initiatives inventory and maturity evaluation
  • Regulatory landscape analysis for all jurisdictions of operation

Framework Design Phase:

  • Enterprise AI governance framework and target operating model design
  • Responsible AI principles development (FAST-aligned) for enterprise-wide adoption
  • Comprehensive AI policy framework (usage, application development, lifecycle management)
  • Scalable AI use case approval and governance frameworks
  • Enterprise AI risk management taxonomy integrated with existing ERM
  • Third-party AI governance framework for vendor management

Implementation & Rollout Phase:

  • TRUSENTA.IO platform configuration for enterprise-scale governance
  • Governance workflow design and dashboard creation for multiple stakeholder groups
  • Change enablement and rollout planning across the enterprise
  • Training and enablement for governance teams and business units
  • Executive and board reporting framework establishment

Engagement Model

We deliver through a phased approach tailored to enterprise complexity:

Phase 1: Discovery & Design (Fixed Scope)
We engage senior stakeholders across your global organisation to assess current AI governance maturity, map regulatory requirements and design your tailored enterprise AI governance framework and target operating model. This phase establishes the foundation and provides clear scoping for implementation.

Phase 2: Implementation & Rollout (Scoped Based on Phase 1)
Based on the detailed understanding from discovery, we implement your governance framework across business units and regions. This includes comprehensive policy development, TRUSENTA.IO configuration for enterprise-scale operations, workflow design and change enablement. The scope and duration are precisely defined following Phase 1 outcomes.

Phase 3: Enablement & Handover
We facilitate rollout of your new governance framework, ensuring adoption across business units and regions. Your teams receive comprehensive training, executive reporting is established and you gain ongoing platform support. The engagement concludes with your organisation fully enabled to operate and mature your enterprise AI governance independently.

Estimated Time

Phased engagement: 6-12 weeks for Discovery & Design, followed by scoped Implementation based on enterprise complexity.
Enterprise-grade frameworks purpose-built for multinational complexity, integrated with TRUSENTA.IO for unified governance at scale—not theoretical consulting, but operational enterprise capability.

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