Build the foundation for enterprise-wide AI adoption with a scalable CoE model

An AI CoE is a centralized framework that drives AI strategy, governance, and scalability across the enterprise. Xoriant helps build CoEs with strategy-led roadmaps, factory models, and embedded pods to accelerate adoption and deliver measurable RoAI

A clear AI strategy ensures alignment with business goals, prioritizes high-impact use cases, and reduces risk. Xoriant defines this strategy through maturity assessments, use case prioritization, and execution blueprints tailored for enterprise needs.

An AI governance framework enforces ethical, secure, and compliant AI practices. Xoriant embeds governance into every CoE engagement with policy-driven controls, audit-ready processes, and explainability checkpoints.

A GenAI roadmap outlines use case discovery, rapid prototyping, and enterprise-grade deployment. Xoriant accelerates this journey with its AI Foundry framework, ensuring scalability, governance, and faster time-to-value.

We provide role-based training, GenAI enablement tracks, and embedded CoE pods to upskill teams and create self-sustaining AI capabilities within the organization.

We use factory models and domain accelerators to fast-track AI adoption. When relevant, these blueprints integrate with the Agentic(X) framework, ensuring that AI solutions are not only scalable but also aligned with enterprise governance and orchestration standards.

We take organizations beyond pilots by combining strategy, governance, and scalable delivery models. Our CoE approach uses factory frameworks, reusable blueprints, and embedded pods to operationalize AI across functions. Where autonomy and orchestration are needed, we integrate Agentic(X) principles, ensuring AI evolves from isolated use cases to enterprise-wide, outcome-driven systems.