With regional AI regulations evolving on different trajectories, an AI governance framework helps organizations to navigate future compliance requirements and support the growth of local AI capabilities. 

AI governance principles should address the technology’s’ complexity and opacity, its scalable and versatile application across sectors, and its interdisciplinary impact. This ensures the deployment of GenAI is aligned with the regulatory and ethical dimensions of the AI governance framework. 

Integrating an AI governance framework with the existing corporate and IT governance structures requires the creation of interlocks and synergies to enhance overall governance effectiveness, risk management and strategic alignment.  

While AI governance principles provide a foundation, GenAI adoption at scale – and the corresponding accessing of unstructured data – by non-data scientists and other users lacking a technology background requires that additional, tailored GenAI governance controls are implemented.

HOW WE CAN HELP

Our AI Governance Accelerators support the design of AI governance frameworks that feed into new AI policies, which in turn are incorporated into organizations’ existing data policies.

Capco’s GenAI Governance Framework consists of core data management principles spanning:

• Roles and responsibilities
• AI-related practices tools and processes
• Regulation
• Responsible GenAI principles, controls and policies. 

OUR SOLUTION ADDRESSES THE FOLLOWING CHALLENGES:

Governance vs. Innovation

Existing governance structures that impede AI innovation and capabilities due to limited flexibility and a lack of foresight around establishing the necessary guardrails.

Impact on Digital Transformation

To adopt AI at scale, changes are required across every dimension of ongoing digital transformation initiatives. 

Staying Relevant

A robust AI governance framework ensures that GenAI policies do not become rapidly outdated.