How It Works
We perform a deep technical assessment of your Azure subscription — mapping existing resources, Azure OpenAI deployments, data estate readiness, networking configuration, and current AI spend.
Every high-ROI Azure AI Foundry use case is identified, scored, and ranked by business impact, technical feasibility, and implementation effort — giving you a clear, funded activation sequence.
You receive a detailed Azure AI Foundry architecture blueprint — covering agent design patterns, data flows, security controls, cost projections, and a phased implementation roadmap.
What's Included
Comprehensive review of your Azure subscription, resource groups, existing OpenAI deployments, quota limits, and AI service configurations.
Evaluate your data sources — Azure Data Lake, Fabric, SQL, Blob Storage — against what Azure AI Foundry agents need to ground responses in accurate, fresh data.
Identify and rank every high-value AI agent opportunity across your business, with effort estimates, expected ROI, and a recommended implementation sequence.
Model token costs, compute requirements, and infrastructure spend for your prioritised use cases so you can budget accurately before building anything.
Assess your Azure network topology, identity configuration, and data residency posture against enterprise AI security best practices and regulatory requirements.
A detailed technical blueprint covering Semantic Kernel orchestration patterns, Prompt Flow pipelines, Azure AI Search integration, and deployment topology.
Who It's For
Organisations with Azure OpenAI access and budget approval but no production AI agents — you need a defensible roadmap before spending on development.
Technical leaders who must present a credible, board-ready Azure AI strategy with phased milestones, resource requirements, and measurable ROI projections.
Engineering and architecture teams comparing Azure AI Foundry against alternatives — you need a technical assessment grounded in your actual environment.