Built to Connect. Engineered to Scale.
Enterprise-grade governance so every AI decision is auditable and defensible
Our Key Differentiators
Enterprise Data Governance Framework
Deploy governance that scales across domains, platforms, and teams with ownership, consistent policies, and automated controls, so data stays trusted and usable.
Responsible AI by Design
Embed ethics, explainability, and guardrails in every workflow, aligned to an enterprise AI risk framework making models fair, transparent, and defensible in production.
Audit-Ready Compliance Enablement
Maintain lineage, cataloging, and secure access controls to support AI governance and compliance making you audit-ready from day one.
Our Services
Our Data & AI strategy rests on six pillars that help enterprises modernize systems, scale AI, and innovate without losing control. Each pillar tackles a critical stage like data modernization, governance, AI operationalization, and Agentic intelligence, so you move fast, stay compliant, and deliver measurable ROI at every phase.
Enterprise Data Governance Framework
Responsible AI & Model Governance
Regulatory Compliance Readiness
Enterprise Data Governance Framework
Unify governance across, integrating AI model risk management practices.
Enforce enterprise-wide policies for scalable AI implementation.
Balance team autonomy with enterprise standards through clear, defined ownership
Secure data and simplify compliance via role-based access and automated audit trails.
Responsible AI & Model Governance
Ensure AI systems remain ethical, explainable, & aligned with enterprise risk.
Build fairness, transparency, & accountability into the core of your AI workflows.
Build trust by generating clear, human-readable explanations for model decisions.
Continuously monitor all models for bias, drift, and performance degradation.
Regulatory Compliance Readiness
Meet evolving regulatory standards confidently and maintain continuous audit readiness.
Validate data & model workflows against regulatory requirements using AI.
Secure full traceability of data & model usage for internal and external audits.
Deploy AI securely with built-in governance controls & continuous monitoring.
Enterprise Data Governance Framework
Enterprise Data Governance Framework
Unify governance across, integrating AI model risk management practices.
Enforce enterprise-wide policies for scalable AI implementation.
Balance team autonomy with enterprise standards through clear, defined ownership
Secure data and simplify compliance via role-based access and automated audit trails.
Responsible AI & Model Governance
Responsible AI & Model Governance
Ensure AI systems remain ethical, explainable, & aligned with enterprise risk.
Build fairness, transparency, & accountability into the core of your AI workflows.
Build trust by generating clear, human-readable explanations for model decisions.
Continuously monitor all models for bias, drift, and performance degradation.
Regulatory Compliance Readiness
Regulatory Compliance Readiness
Meet evolving regulatory standards confidently and maintain continuous audit readiness.
Validate data & model workflows against regulatory requirements using AI.
Secure full traceability of data & model usage for internal and external audits.
Deploy AI securely with built-in governance controls & continuous monitoring.
How it Works
Strategy to Scale, Delivered Smoothly
Pre-built frameworks cut delivery time and de-risk change.
Aligns systems, governance, and security by design.
Our Accelerators
Frameworks & Accelerators
Our Success Stories
Keeping You Updated
AI Risk Management - Questions frequently asked
What is AI risk management and why is it critical for enterprises adopting AI at scale?
Xoriant establishes enterprise-wide AI risk controls using governance frameworks, secure architectures, bias detection, auditability, model monitoring, and Responsible AI practices embedded across digital engineering and data platforms.
What does an enterprise AI risk framework typically include?
Xoriant designs enterprise AI frameworks that integrate model governance, privacy controls, explainability tooling, security policies, and automated validation across MLOps pipelines.
How do AI governance and compliance ensure safe and ethical AI usage?
Xoriant builds governance models with policy automation, lineage tracking, audit logs, identity controls, and standardized AI development workflows integrated into cloud, data, and security ecosystems.
What is AI model risk management and how does it protect organizations from unintended outcomes?
Xoriant deploys model validation pipelines, bias detection tools, continuous monitoring, stress testing, and explainability engines aligned with enterprise model risk standards.
What does responsible AI implementation involve?
Xoriant integrates Responsible AI into workflows through governance frameworks, red-teaming, fairness evaluations, secure access controls, and policy-driven model deployment across cloud and data platforms.
How do AI risk assessment services and AI policy/oversight solutions support long-term governance?
Xoriant conducts AI risk assessments, implements AI policy frameworks, automates governance processes, and delivers secure lifecycle oversight using digital engineering, AI/ML, and cloud-native governance tooling.
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With Xoriant