Ingestion and processing
OneLake, Fabric pipelines, Databricks, Delta Lake, and governed enterprise data access.
Platform Solutions
Dedicated enablement for each platform you're building on
Focused solution areas — each with a structured enablement program, certification pathway, implementation journey, and MCT-led delivery. Built for enterprise data, AI, and agentic engineering teams moving from pilot to production.
Microsoft Fabric & Azure AIGitHub Copilot & DatabricksAI Governance & CoE DesignMCT-Led Delivery50,000+ Professionals Enabled
Enterprise AI operating system
Five connected layers turn platform choices into governed execution.
The former AI Solutions experience is now part of this canonical solution journey: data, models, agents, integrations, and controls are evaluated as one operating system rather than isolated technology purchases.AI services and models
Microsoft Foundry, Azure OpenAI, AI Search, evaluation, grounding, and model operations.
Copilots and agents
Copilot Studio, coding agents, RAG applications, and reviewable multi-agent workflows.
Automation and integration
Power Platform, Logic Apps, Functions, MCP tools, and internal system connections.
Governance and monitoring
Purview, Entra, security policy, human oversight, audit, ownership, and adoption measurement.
All Platform Solutions
Choose the solution area that matches your current implementation priority
Platform Enablement
Microsoft Fabric Enablement
Move your Fabric pilots into production with MCT-led enablement covering Lakehouse architecture, Real-Time Intelligence, Direct Lake semantic models, and DP-600/DP-700 certification preparation.
DP-600 & DP-700 Certification ReadinessMCT-Led DeliveryReal-Time Intelligence Labs
Explore solutionAI Platform EnablementAzure OpenAI Adoption
Move beyond Azure OpenAI demos with MCT-led enablement covering production RAG architecture, Azure AI Foundry, Semantic Kernel orchestration, AI-102 certification, and enterprise responsible AI controls.
AI-102 Certification ReadinessMCT-Led DeliveryProduction RAG Architecture
Explore solutionDeveloper Productivity EnablementGitHub Copilot Governance
Enterprise Copilot adoption with governance — MCT-led programs covering GH-300 certification, responsible AI policy, IP and data handling controls, adoption measurement, and team-specific prompt patterns.
GH-300 Certification ReadinessMCT-Led DeliveryEnterprise Governance Policy
Explore solutionStrategic EnablementEnterprise AI Readiness
Start with a scored AI Readiness Assessment that maps your strategy, data, skills, and governance maturity — then follow a tier-matched enablement program designed for your specific readiness stage.
Scored Readiness AssessmentMCT-Led DeliveryTier-Matched Enablement
Explore solutionData Platform EnablementDatabricks Modernization
Accelerate Databricks adoption with MCT-led enablement covering Delta Lake production patterns, Unity Catalog governance, DP-750 certification, and Databricks ML and GenAI engineering programs.
DP-750 Certification ReadinessMCT-Led DeliveryDelta Lake & Unity Catalog
Explore solutionOrganisational Capability DesignAI Center of Excellence
Design and activate an enterprise AI Centre of Excellence — operating model, governance charter, role definitions, cross-functional AI literacy programs, and a structured use-case intake process.
CoE Operating Model DesignMCT-Led DeliveryCross-Functional AI Literacy
Explore solutionAI Engineering EnablementPrompt Engineering for Enterprise
Production-grade prompt engineering enablement — RAG architecture with Azure AI Search, structured prompting patterns, LLM evaluation pipelines, Semantic Kernel orchestration, and responsible AI guardrails.
Production RAG ArchitectureMCT-Led DeliveryLLM Evaluation Pipelines
Explore solutionGovernance & Compliance EnablementAI Governance Framework
Operationalise your enterprise AI governance framework — MCT-led programs covering responsible AI policy design, Microsoft Purview configuration, Azure AI Content Safety, and Entra ID identity governance.
Responsible AI Policy DesignMCT-Led DeliveryMicrosoft Purview for AI
Explore solutionGovernance & SecurityDeveloper AI Governance
Operationalize governance for AI coding agents — approved tools and models, repository classification, source-code handling rules, MCP policy, human-review requirements, and incident handling that security and engineering can both own.
Approved Tool MatrixRepository ClassificationMCP & Command Policy
Explore solutionPlatform IntegrationEnterprise MCP Integration
Build production-ready MCP integrations that connect AI coding agents to internal systems — with schema design, authentication, authorization, audit, approval workflows, and client integration across enterprise platforms.
Use-Case DiscoverySecure MCP DesignAuthZ & Audit
Explore solutionThe VNode ITeS Approach
Platform-specific enablement, not generic AI training
Each solution page maps a specific enterprise platform challenge to a structured enablement program — with a defined assessment phase, designed learning tracks, MCT-led delivery, and an adoption handover. We don't run the same course for every team.
Programs are built for teams already working on these platforms — not for teams deciding whether to use them. The starting point is where your team is now, not where a course outline assumes they are.
01
Assess
Current platform state, skill gaps, and readiness reviewed before a single program is designed.
02
Design
Role-split tracks and delivery scope shaped to match your team structure and implementation targets.
03
Enable
MCT-led delivery with hands-on labs, certification preparation, and architecture context throughout.
04
Adopt
Workspace conventions, governance configuration, and runbooks handed over at close of engagement.
Where to Start
Not sure which solution area to prioritise?
Take the AI Readiness Assessment to understand where your team sits across strategy, data, skills, and governance — then map that to the right solution program.
Scored across 4 readiness dimensions
Tier-matched program recommendations
Strategy, data, skills & governance
Free — takes under 5 minutes