Build confidence in every decision with enterprise-grade governance frameworks
Build confidence in every decision with enterprise-grade governance frameworks
Governance & Risk Management at Xoriant embeds responsible AI principles, regulatory compliance, and data stewardship into your architecture. From lineage and cataloging to secure AI guardrails and audit-ready frameworks, we help you operationalize trust.
With accelerators and deep expertise in regulated industries, we ensure your data and AI systems are not only powerful—but accountable, explainable, and secure.
Enterprise Data Governance Framework
Implement scalable governance across data domains, platforms, and teams
Responsible AI by Design
Embed ethical principles, explainability, and guardrails into AI workflows
Audit-Ready Compliance Enablement
Ensure readiness for regulatory audits with lineage tracking, cataloging, and secure access controls
Our Data & AI strategy is anchored on six pillars that enable enterprises to modernize, scale, and innovate with confidence. Each pillar addresses a critical stage in the journey, from data modernization to AI-driven operations and Agentic intelligence, ensuring speed, governance, and measurable business impact.
Enterprise Data Governance Framework
Responsible AI & Model Governance
Regulatory Compliance Readiness
Enterprise Data Governance Framework
Establish a unified governance model that spans data domains, platforms, and teams
Define and enforce governance policies across the enterprise
Implement governance that balances autonomy with enterprise standards
Implement role-based access and audit trails to ensure data security and compliance readiness
Responsible AI & Model Governance
Ensure your AI systems are ethical, explainable, and aligned with enterprise risk frameworks
Embed fairness, transparency, and accountability into AI workflows
Generate human-readable explanations for model decisions
Continuously monitor for bias, drift, and performance degradation across models
Regulatory Compliance Readiness
Prepare for audits and meet evolving regulatory standards with confidence
Use AI to validate data and model workflows against regulatory requirements
Maintain traceable records of data and model usage for internal and external audits
Ensure secure, governed AI deployment with built-in controls and monitoring tools
Enterprise Data Governance Framework
Enterprise Data Governance Framework
Establish a unified governance model that spans data domains, platforms, and teams
Define and enforce governance policies across the enterprise
Implement governance that balances autonomy with enterprise standards
Implement role-based access and audit trails to ensure data security and compliance readiness
Responsible AI & Model Governance
Responsible AI & Model Governance
Ensure your AI systems are ethical, explainable, and aligned with enterprise risk frameworks
Embed fairness, transparency, and accountability into AI workflows
Generate human-readable explanations for model decisions
Continuously monitor for bias, drift, and performance degradation across models
Regulatory Compliance Readiness
Regulatory Compliance Readiness
Prepare for audits and meet evolving regulatory standards with confidence
Use AI to validate data and model workflows against regulatory requirements
Maintain traceable records of data and model usage for internal and external audits
Ensure secure, governed AI deployment with built-in controls and monitoring tools
From Policy to Practice, Seamlessly
Pre-built governance templates, lineage tools, and compliance accelerators reduce setup time and complexity
Frameworks & Accelerators
Our Success Stories
Keeping You Updated
Governance & Risk Management - Questions frequently asked
What is AI governance and how can Xoriant help enterprises implement it?
AI governance is the framework that ensures AI systems are ethical, transparent, and compliant. Xoriant helps enterprises implement governance by embedding policies, lineage tracking, and secure controls into data and AI workflows.
How does AI risk management protect businesses, and how can Xoriant help?
AI risk management safeguards businesses from compliance breaches, bias, and operational failures. We provide tools and processes to monitor risks, enforce guardrails, and maintain accountability across AI systems.
Why is Responsible AI important, and how can Xoriant help ensure ethical AI adoption?
Responsible AI ensures fairness, transparency, and trust in AI-driven decisions. Xoriant integrates ethical principles, explainability, and bias detection into every stage of the AI lifecycle to promote safe and responsible adoption.
How can Xoriant help organizations strengthen enterprise data governance?
We design scalable governance frameworks that unify policies, enforce role-based access, and maintain data lineage. This approach ensures data integrity, security, and readiness for AI-driven transformation.
What role does regulatory compliance in AI play, and how can Xoriant help achieve it?
Regulatory compliance protects organizations from legal and reputational risks. Xoriant enables compliance through automated checks, audit-ready lineage, and secure AI operations aligned with global standards.
How can Xoriant help with model explainability and bias monitoring in AI systems?
We implement tools that generate clear explanations for AI decisions and continuously monitor for bias and drift. This ensures transparency, accountability, and sustained model performance.
What is an AI oversight framework, and how can Xoriant help enterprises adopt one?
An AI oversight framework provides governance, monitoring, and accountability for AI systems. Xoriant helps enterprises adopt such frameworks with pre-built templates, compliance accelerators, and continuous optimization.
Get Started
With Xoriant