AI Governance Services, Managed GenAI Solutions

Harness the full potential of AI and GenAI while minimizing risks and fostering trust by supporting ethical, transparent, and effective use of models and data

GlobalLogic is named a leader in GenAI services by ISG Provider Lens™

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How we help

Manage the risks of adopting and using AI and GenAI

GlobalLogic can help you understand regulatory requirements and industry standards, implement effective processes, and maintain rigorous governance to support responsible AI. Our approach helps you to align AI and GenAI initiatives with your business strategies while managing the operational, business, reputational, and compliance risks of integrating these technologies into your workflows.

Our capabilities

Ethical, transparent, effective

A comprehensive AI Governance framework helps ensure AI and GenAI models are developed, deployed, and managed responsibly.

Managing AI and GenAI Solution Quality

Enact processes for data cleansing, validation, and enrichment to help minimize errors and biases, leading to more accurate and fair AI and GenAI model responses.

Establishing Ethical AI Guidelines

Guide the development and deployment of AI and GenAI solutions with a focus on ensuring that models are fair, transparent, and accountable so they are both effective and socially responsible.

Enabling Model Governance

Manage AI and GenAI models throughout their lifecycle via versioning, documentation, and monitoring to ensure they are well-managed and capable of adapting to evolving requirements.

Navigating Compliance and Risk Management

Help you navigate the complex legal and regulatory landscape surrounding AI and GenAI technologies, implementing measures like data anonymization, encryption, and consent management to meet global standards.

Leaders in AI and GenAI Governance

Meet the leaders in AI and GenAI Governance globally.

ShanShan Pa

Vice President, AI Governance

Offering extensive expertise on governance pertaining to global privacy and compliance issues.

Gene Leybzon

Chief Architect

Implementing best practices of GenAI at scale with a focus on AI result quality and proper governance.

Yuriy Yuzifovich

Chief Technology Officer, AI

Applying AI and ML advancements to solve modern challenges for companies and web users.

Featured insights

Explore fresh thinking from GlobalLogic’s strategists and engineers.

See all

Blogs

Yuriy Yuzifovich

30 October 2024

Accelerating Enterprise Value with AI

AI GovernanceMLOpsTechnology

White Papers

Arun Viswanathan

19 January 2024

Reference Architecture Models for Big Data and Analytics

Reference architecture models for Big Data and Analytics derived from…

AnalyticsData EngineeringCross-Industry

Blogs

Yuriy Yuzifovich

22 May 2025

What the ChatGPT 4.0 Incident Tells Us About Building with Generative AI

Something strange happened recently: developers, researchers, and power users …

AI GovernanceAI-Powered SDLCGenAICross-Industry

FAQs

Your AI Governance questions, answered

Learn more about AI Governance at GlobalLogic.

What is AI Governance?

AI Governance refers to the policies, processes, and practices that organizations use to manage and mitigate the risks associated with developing, deploying, and maintaining AI and GenAI systems, ensuring that they are fair, ethical, and accountable. AI data governance is a critical element of any AI or GenAI undertaking.
What tools and technologies are used for AI Governance?

An effective AI governance framework relies heavily on a set of specialized tools and technologies that ensure the integrity, security, and compliance of AI/ML and GenAI systems. These include tools to manage data lineage, enforce access control, and conduct thorough audits and reporting — all of which are critical to maintaining robust governance standards.
What is AI “in” Governance?

AI in Governance is an innovative approach where AI technologies are used to enhance governance processes. AI can automate compliance checks, ensuring that models adhere to regulatory requirements and internal policies in real time. For instance, AI-driven tools can continuously monitor data usage, detect anomalies, and flag potential compliance violations. This automation increases efficiency and reduces the risk of human error.

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AI Governance

Harness the full potential of AI and GenAI while minimizing risks and fostering trust by supporting ethical, transparent, and effective use of models and data

Manage the risks of adopting and using AI and GenAI

Ethical, transparent, effective

Managing AI and GenAI Solution Quality

Establishing Ethical AI Guidelines

Enabling Model Governance

Navigating Compliance and Risk Management

Case studies

Leaders in AI and GenAI Governance

Offering extensive expertise on governance pertaining to global privacy and compliance issues.

Implementing best practices of GenAI at scale with a focus on AI result quality and proper governance.

Applying AI and ML advancements to solve modern challenges for companies and web users.

Featured insights

Accelerating Enterprise Value with AI

Reference Architecture Models for Big Data and Analytics

What the ChatGPT 4.0 Incident Tells Us About Building with Generative AI

Your AI Governance questions, answered

Let’s start engineering impact together.