Accelerate enterprise-wide AI adoption with a secure, compliant, and scalable foundation built on Microsoft Azure. This joint offering delivers a production-grade AI control-plane integrated with a self-service AI Marketplace, helping enterprises reduce TCO, unify governance, and operationalize AI with confidence.
Whether you're modernizing legacy ML operations or enabling citizen developers with safe AI access, this consulting engagement provides the infrastructure, governance, and enablement to scale AI securely across your organization.
What’s Included :
- AI Control-Plane Deployment (Azure-native)
- Azure Kubernetes Service (AKS)-based control plane
- Integrated CI/CD, observability, vector DB, unified API gateway
- Role-based access control (RBAC), signed Terraform/Helm bundles
- Day 0/1/2 runbooks and security hardening artefacts
- Enterprise AI Marketplace Setup
- Curated internal AI catalog (internal, OSS, commercial tools)
- Vendor management & license orchestration
- Self-service UI for model deployment, chaining, and reuse
- Interoperability with Azure ML, OpenAI, Hugging Face, and more
- Governance & Compliance Playbook
- Responsible AI templates (EU AI Act, NIST RMF, HIPAA)
- Automated bias scans, content moderation, drift alerts
- Audit logs, lineage graphs, privacy controls, policy engine
- Quick-Start AI Use Case (Optional)
- One use case (e.g., forecasting, summarization, chatbot)
- Delivered with notebooks, prompt templates, pipelines
- Fully deployed in customer repo
- Enablement & Training
- Live + recorded sessions for platform users and admins
- Cost optimization and capacity planning
- Handover artefacts (PDF, Markdown, Visio diagrams)
Key Benefits:
- Stand up governed AI infra in weeks
- Reduce cloud AI spend with dynamic resource brokering
- Centralize governance and policy enforcement
- Enable self-service innovation securely
- Future-proof design supports evolving AI tools and workloads
Technology Stack :
- Azure Kubernetes Service (AKS)
- Azure Machine Learning
- Azure Purview, Synapse, Key Vault
- Azure Monitor, Log Analytics
- OpenAI, Hugging Face, LangChain
- Terraform, Helm, GitHub Actions
- Discovery & Design (3–5 days)
- Assess current environment and requirements
- Define architecture, security scope, and success criteria
- Control Plane Deployment (1 week)
- Automate infrastructure setup (AKS, CI/CD, monitoring)
- Deploy core services like vector DB, API gateway, observability
- Marketplace Setup (1 week)
- Onboard internal/OSS/commercial models and tools
- Implement catalog structure, policies, and role-based access
- Governance & Use Case (1–2 weeks)
- Deploy Responsible AI templates and drift monitoring
- Deliver one quick-start use case (optional)
- Enablement & Handover (3–5 days)
- Conduct live/recorded training sessions
- Share runbooks, roadmap, and cost optimization guidance
Customer Benefits :
- Fast Deployment: Launch a production-grade, governed AI platform in just weeks.
- Lower Costs: Cut AI spend through workload optimization and centralized resource reuse.
- Unified Governance: Enforce security, privacy, and Responsible AI across tools and teams.
- Self-Service Innovation: Empower users to safely build and deploy AI without heavy IT support.
- Reduced Risk: Automated policy checks, audit logs, and drift monitoring keep you compliant.
- Scalable & Future-Ready: Modular, Azure-native architecture supports evolving AI tools.
- Central Visibility: Track usage, performance, and compliance from a single console.
- Quick Wins: Jumpstart value with ready-to-use templates and quick-start use cases.
- Cross-Team Collaboration: Promote reuse with shared prompts, workflows, and models.
- Expert Enablement: Get trained, supported, and fully ready for long-term success.
Value Proposition :
Accelerate enterprise AI adoption with a secure, scalable, and governed foundation on Microsoft Azure. By combining a production-ready AI control-plane with a curated internal AI marketplace, this solution empowers business units to innovate safely, reduce costs, and scale AI with confidence. Built by experts, deployed in your environment, and aligned with global compliance standards—this is the fastest path from AI experimentation to enterprise impact.