For Your Complete Data & AI Journey

6 week AI business strategy and roadmap that quantifies value and de risks investment.

Independent assessment that validates your Microsoft Fabric approach against best practice.

AI Solution Design Sprint. A structured engagement designed to rapidly move from an ambiguous business problem to a validated, implementable AI solution architecture and future-state process design.

Reference architectures for scalable, secure Fabric and Azure AI implementations.

Azure OpenAI implementation service delivering secure, production-ready AI capabilities.

Microsoft Fabric Jumpstart. Technical setup of the Fabric Tenant, Capacities, Workspaces, and Security configuration.

Azure Zero Trust Implementation / Secure AI. Security build service segmenting the network to prevent lateral movement of threats.

Agentic AI implementation service for building autonomous AI agents and advanced AI systems.

Azure OpenAI Private Deployment. Deploying private models (Llama, Azure OpenAI) within a secure perimeter; "Compute-to-Data" approach.

Azure AI Search Implementation. Building the "Brain" (Vector DBs/Orchestration) to allow LLMs to search and answer from client documents.

Copilot Studio Configuration. Configuring Microsoft Copilot or building custom assistants using Copilot Studio.

Governance layer that aligns AI operations with ethical standards and regulatory requirements.

Validation framework that maintains quality and correctness of analytical data across Fabric.

Continuous monitoring of model accuracy, drift and operational quality in production environments.

Health check and tuning service that improves Fabric throughput, stability and user experience.

Comprehensive MLOps service for managing the complete machine learning lifecycle from development to production.

Spend analysis and architectural changes that reduce cloud TCO without sacrificing value.