Enterprise copilots and agents, grounded on your Microsoft data estate.
We design, build and operate Azure AI Foundry, Azure OpenAI Service and Azure AI Search deployments — with Entra ID identity, Purview data governance and Defender for Cloud controls wired in from day one.
- Microsoft Azure AI Implementation | pronix.ai
Microsoft shops need AI that respects their identity, data and controls.
Azure AI is the fastest path for enterprises already standardized on Microsoft 365, Dynamics, Fabric and Entra — but the governance story only works if identity, retrieval and monitoring are wired correctly.
- Grounded on your tenantAzure AI Search over SharePoint, Dataverse and Fabric — with Entra-based permission filtering at query time.
- Model choiceGPT-4o, o-series, Phi, Llama and Mistral on a single Foundry runtime, with content safety and evaluations built in.
- Governance by defaultPurview classification, Defender for Cloud posture and Foundry evaluations — the artifacts your CISO and MRM teams expect.
Full-lifecycle Azure AI delivery.
Multi-model apps, agents and evaluations with content safety and prompt shields.
GPT-4o, o-series and embeddings with regional data residency and PTU capacity planning.
Hybrid vector + keyword search over SharePoint, OneDrive, Dataverse and Fabric OneLake.
Assistants, tools and multi-agent workflows integrated with Logic Apps and Power Platform.
Entra ID, Purview labels and Defender for Cloud AI posture across every deployment.
Prompt regression, PTU tuning and model refresh under one SLA.
Need certified Microsoft Azure AI Implementation | pronix.ai talent?
Deploy specialists who have delivered Microsoft Azure AI Implementation | pronix.ai implementations across enterprise environments — from design and build through steady-state operations.
- Certified engineers
- Solution architects
- Conversation designers
- Delivery leads
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Use cases, data estate and identity model.
Foundry, OpenAI and AI Search architecture.
One grounded copilot with evaluations.
Agents, retrieval and Purview controls.
LOBs, languages, tenants, regions.
Managed prompts, PTU and model refresh.
Use cases already in production with enterprise clients.
Employee and service copilots grounded on SharePoint, Dataverse and Fabric with Entra permission filtering.
Multi-step agents that call Logic Apps, Dynamics 365 and Power Platform with human-in-the-loop.
Advisor and knowledge assistants with Purview labels, evaluations and content safety enforced.
Consolidate shadow AI onto governed Azure OpenAI with cost, safety and identity controls.
Industries where this ships fastest
- Financial Services
- Healthcare Providers
- Health Payers
- Insurance
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Questions buyers ask us first.
- How does Azure AI compare to OpenAI direct?
- Azure OpenAI runs the same models with Microsoft's enterprise agreements, regional data residency, private networking and Entra identity — the standard for regulated enterprises. Direct OpenAI wins on model recency and API velocity.
- Do we need Azure AI Search for RAG?
- In most enterprise deployments, yes — it provides hybrid retrieval and permission-aware filtering. We evaluate alternatives (Fabric, third-party vector DBs) where they fit better.
- How do you handle PTU vs pay-as-you-go?
- We size PTU capacity against your P95 concurrency, keep pay-as-you-go for burst, and monitor cost per resolved interaction to keep the unit economics honest.
Book a working session with our microsoft azure ai implementation team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.