From Enterprise Workflow
to Azure AI Foundry.
InfraStacks turns enterprise operating problems into governed Azure AI Foundry deployments inside the customer's Azure estate.
Discovery. Architecture. Configuration. Validation. Deployment.
Azure commitments do not automatically become production AI
Enterprises already have the budget, the data, and the mandate. What they lack is a repeatable path from business process pain to a deployed Azure AI Foundry solution that survives validation.
Discovery Gap
Stakeholders know the workflow problem. They do not know how to express it as models, prompt flows, search indexes, and guardrails.
InfraStacks
We discover use cases, structure them, compile Foundry configurations, validate against real examples, deploy into the customer subscription, and monitor adoption outcomes.
Validation Gap
Most pilots die between a promising demo and a reliable business process. InfraStacks closes that gap with structured validation and versioned iteration.
The InfraStacks delivery pipeline
Every stage moves an enterprise use case from unstructured stakeholder knowledge to a deployed Azure AI Foundry solution.
Discovery
Structured stakeholder interviews that capture business process detail without forcing customers to think in models or infrastructure.
Use Case
Formalized representations of the workflow, data requirements, success criteria, guardrails, and Azure service mapping.
Architecture
Customer-readable deployment plans that explain triggers, data flow, model selection, outputs, review gates, and expected cost.
Configuration
Deterministic compilation into Azure AI Foundry resources, Bicep templates, prompt flows, search, and safety configurations.
Validation
Real-example testing with customer review, versioned refinement, and measurable graduation from pilot quality to production readiness.
Live
Deployment into the customer Azure subscription with monitoring for adoption, latency, usage, and outcomes over time.
What InfraStacks produces
The output is not a slide deck. It is a set of Azure AI Foundry configurations and deployment assets ready to validate and run.
Microsoft AI Foundry model deployment
The right model, parameters, safety profile, and capacity plan for the customer use case.
Prompt flow definition
Orchestration logic, system prompts, tool definitions, and business rules encoded for the workflow.
Azure AI Search configuration
Data sources, chunking, embeddings, and semantic retrieval settings for enterprise knowledge access.
Content safety rules
Input and output guardrails aligned to the tolerance and review gates of the business process.
Bicep deployment template
Versioned infrastructure-as-code ready to deploy the solution into the customer Azure subscription.
Monitoring workbook
Consumption, latency, accuracy, and cost visibility after the solution is live.
Built for the enterprise teams that make AI programs real
InfraStacks aligns executive sponsors, operating owners, and control teams around one motion: converting committed Azure spend into governed Microsoft AI Foundry deployments.
Enterprise AI Sponsors
Own the AI mandate, Azure budget, and production accountability, but need a repeatable operating model that turns candidate workflows into approved deployments.
CIOs, CTOs, Heads of AI, platform leaders, and digital transformation executives
Enterprise Function Leaders
Own high-value operating processes and need a structured way to translate them into governed AI systems with clear inputs, outputs, review gates, and ROI.
Finance, operations, procurement, support, claims, compliance, and shared-services teams
Platform, Risk & Control Teams
Define the architecture, governance, review gates, and operational controls required before a Microsoft AI Foundry solution can be approved for production.
Enterprise architecture, platform engineering, security, risk, legal, compliance, audit, and review stakeholders
Catalog pillars for repeatable Foundry deployment
Start with structured enterprise workflows that can be validated, approved, and scaled into a broader catalog of production use cases.
Document Intelligence
Structured document workflows
Knowledge Operations
Retrieval and reasoning workflows
Service Operations
High-volume response workflows
Risk & Compliance
Review and control workflows
Finance Operations
Back-office decision workflows
Industry Workflows
Vertical process families
Ready to move an enterprise process into production AI?
Bring the operating process, the executive sponsor, and the Azure account context. InfraStacks brings the discovery method, the Foundry architecture, the validation model, and the deployment assets.
Start Enterprise DiscoveryWe'll focus on the use-case portfolio, data boundary, review model, Azure services, and what has to be true for production approval.