Enterprise AI Governance & AI Center of Excellence Setup

Artificial Intelligence initiatives often emerge across organizations without coordination, governance, or a clear operating model. This frequently results in isolated pilots, shadow AI usage, security risks, compliance concerns, and limited ability to scale successful solutions.

Arkano’s Enterprise AI Governance & AI Center of Excellence Setup helps organizations establish the governance, structure, and operational model required to manage and scale AI initiatives responsibly using Microsoft Azure and its AI services.

This offer focuses on designing and implementing an AI governance framework and an operational AI Center of Excellence (AI COE) that aligns business, technology, data, and risk management while enabling innovation powered by Microsoft Azure.

This engagement is part of Arkano’s broader Enterprise AI Acceleration Framework, which helps organizations industrialize AI across three phases:

AI Strategy & Use Case Discovery Define the organization’s AI vision, identify high-value use cases, and establish a prioritized roadmap for AI adoption.

AI Governance & AI Center of Excellence Setup Establish governance structures, operating models, and decision frameworks that enable organizations to manage AI initiatives securely and consistently.

AI Solutions Factory & AI Application Development Build and deploy enterprise-grade AI solutions, applications, and intelligent agents powered by Microsoft Azure AI services.

This specific offer focuses on the governance and operating model layer, enabling organizations to move from fragmented AI experimentation to a structured and scalable capability.

During this engagement Arkano works with business and technology leaders to design and operationalize the AI governance model while defining how Microsoft Azure AI services will be used to support AI initiatives across the organization.

Activities include:

• Define the AI governance structure and AI Control Tower model
• Establish AI policies, responsible AI principles, and compliance guidelines
• Define roles, responsibilities, and decision-making processes for AI initiatives
• Design the AI use case intake and prioritization process
• Define portfolio management and evaluation criteria for AI initiatives
• Establish risk management and ethical AI guidelines
• Define the operational model for managing AI initiatives across business units
• Define reference architectures for AI solutions using Microsoft Azure

As part of this engagement, Arkano defines the architecture and governance model for AI workloads that may leverage Microsoft Azure services such as:

• Azure OpenAI Service
• Microsoft Foundry
• Azure AI Search for retrieval augmented generation solutions
• Azure Data and analytics platforms such as Microsoft Fabric or Azure Data services
• Azure security, identity, and compliance capabilities

The outcome of this engagement is a clear governance framework and operating model that allows organizations to safely scale AI innovation on Microsoft Azure while maintaining visibility, control, and alignment with business objectives.

Arkano combines strategic advisory with deep Microsoft Cloud and AI expertise, enabling organizations to move beyond experimentation and build a sustainable enterprise AI capability on Microsoft Azure.