AI Governance
Optimizing AI through a value-based governance structure
As organizations increasingly adopt AI—whether building in-house solutions or leveraging existing AI tools—establishing a robust enterprise AI framework is essential for achieving meaningful results and staying ethically grounded. A well-designed governance structure protects your organization from internal and external risks, fosters a value-driven mindset, engages the right leaders at every stage, and guides effective AI practices throughout your organization.
At A-HUMAN-I, we can assess your AI governance needs, design where you are going and determine what you need in your governance and engagement approach.
AI Enterprise Governance Approach
We work with your leadership team to develop and implement a custom AI enterprise governance structure that determines how to engage leadership and employees in your AI strategy, product lifecycle standards and approach to compliance. This includes:
Ai Governance Assessment - We assess your current AI governance and product journey and recommend a governance approach based on various key criteria.
Governance Model and Playbook - We design your enterprise AI governance model which considers accountability; compliance and core support structures. Next we build an AI playbook to support this governance structure and align leaders and team members on their roles and responsibilities.
Execute on Governance Approach - We drive introduction of the governance model, new processes, meetings and measurement approach while aligning leaders and employees on their role.
Product Lifecycle Governance Approach
For your new AI products, we develop a product lifecycle governance approach that aligns all the procedures, gating process and stakeholder roles and responsibilities from concept through implementation of a new Ai product or service. This includes:
Lifecycle Governance Model - Quickly assess the core AI and product management process and build a repeatable governance framework that works with the enterprise governance approach.
AI Lifecycle Playbook - Define the AI lifecycle playbook processes, stakeholder roles, standard procedures and timing to manage the full process.
Implement the Approach - Educate impacted internal and external teams and stakeholders on the new approach, how to use the new structure, and redefine expectations for product teams.
