DXC AI Workbench

AI Workbench is a modular, enterprise-grade, and production-ready platform designed to streamline the development and deployment of artificial intelligence solutions—natively integrated with Microsoft Azure to leverage its scalable cloud infrastructure, security, and ecosystem. It enables data scientists, developers, and business stakeholders to collaborate seamlessly in a secure, governed environment leveraging Azure services such as Azure Machine Learning, Azure Synapse, and Azure OpenAI.

With built-in support for popular frameworks and tight integration with Azure and existing on-prem infrastructure, AI Workbench significantly reduces time-to-value for AI initiatives. It aligns with enterprise-grade governance and observability standards through Azure-native dashboards, enabling configurable cost control, model usage tracking, and full visibility of operations in one centralized place. AI Workbench is tailored to your organization’s data architecture and compliance requirements — leveraging Azure’s identity management, data security, and compliance certifications.

Tools can be swapped in and out of AI Workbench as the market and specific needs evolve. It supports integration of in-house, open-source, and third-party developments, enabling any tool or agent to work with LLM models and providers—while maintaining independence from vendor lock-in, even within the Azure ecosystem. This collection of AI tools on a common platform accelerates agents, agentic workflows, and use case creation, and includes industry-specific components built on Azure AI capabilities.

No-code assistants and an agentic chatbot web application — powered by Azure OpenAI deliver productivity gains for business users, while integrated tools and a developer interface serve AI engineers. Centralized tools, logging, and monitoring — supported by Azure Monitor, Azure DevOps, and GitHub integration — provide MCP Repo, Agentic Repo, and agentic frameworks that serve core developers in their daily work.

Key Benefits

1. Streamlined AI Development & Deployment - Modular and production-ready platform that accelerates AI solution delivery and reduces time-to-value.
2. Collaborative Environment - Seamless collaboration across roles in a secure, governed workspace integrated.
3. Governance & Observability - Azure-native dashboards for cost control, model usage, and full operational visibility for compliance and auditing.
4. Customizable & Flexible Tooling - Supports in-house, open-source, and third-party integrations with flexibility to evolve alongside Azure services.
5. No-Code & Developer Productivity - No-code assistants and chatbot apps for business users; developer tools and interfaces for engineers.
6. Industry-Specific Solutions - Built-in components leveraging Azure AI to solve domain-specific challenges.

Differentiators

1. Enterprise-Grade Modularity - Designed for scalability and integration with Azure cloud and hybrid environments.
2. LLM & Provider Independence - Supports multiple models and providers, including Azure OpenAI, without vendor lock-in.
3. Tailored to Organizational Architecture - Agents understand specific databases and codebases, integrating with Azure data services.
4. Agentic Frameworks & Repositories - Includes MCP Repo, Agentic Repo, and frameworks supported by Azure DevOps and GitHub.
5. Unified Platform for All Roles - Business users, AI engineers, and core developers benefit from centralized integrated toolsets.