Many AI initiatives stall after proof‑of‑concepts. There are common root causes: unclear success metrics, immature data foundations, security concerns, and no path to production.
Nordcloud’s AI App & Data Starter Kit addresses these gaps and accelerates your AI journey with a proven, collaborative approach. In a matter of weeks, we co‑create a working Proof-of-value (PoV) that validates the user experience, data feasibility, and architecture choices - so you can move forward with confidence. The PoV can either be a new development or modernization of an existing solution.
Delivered by cloud‑native practitioners, the Starter Kit blends business discovery with technical execution: we frame measurable outcomes, prototype quickly in your tenant, and leave you with a pragmatic roadmap to a Minimum Viable Product (MVP) that’s ready to scale into production.
Our approach
- Define value first: Identify high-value use cases and co‑create success criteria tied to business goals and users
- Prove quickly: Build a functional PoV in your tenant, using secure, reusable patterns
- Think production early: Validate identity, networking, data governance and monitoring
- Plan to scale: Provide a concrete production scope and a backlog aligned to your operating model, starting with an MVP
What's included
This offering includes a discovery and prioritization workshop, PoV delivery in your sandbox with a demo and walkthrough, an architecture and data readiness assessment, KPI framework and measurement plan, plus an MVP proposal and scaling roadmap that considers costs.
Benefits
- Faster time‑to‑impact: With a PoV that's meaningful to users
- Reduced delivery risk: Through secure patterns and Azure‑native services
- Increased stakeholder alignment: Via measurable KPIs and clear next steps
- A repeatable model: For subsequent AI and data use cases
Example scenarios
Some example scenarios are knowledge and document intelligence (semantic search, summarization, citation), operations copilots (case triage, claims support, regulation analysis), and data platforms for AI (Fabric/Databricks with medallion, lineage, governance).
Technology (typical)
Azure OpenAI, Azure AI Search, Document Intelligence, Azure Databricks, Microsoft Fabric, Azure ML, Azure App Service, GitHub.