Microsoft Azure AI Implementation — the architecture at a glance.
The moving parts of a production deployment, from channels and orchestration to systems of record.
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 Azure AI Implementation Partner — Foundry & Azure OpenAI talent?
Deploy specialists who have delivered Azure AI Implementation Partner — Foundry & Azure OpenAI 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
Related programs from the same practice.
Published case studies from adjacent platforms in the same practice. Ask us for Microsoft Azure AI-specific references under NDA.
- Health PayersCutting claim-triage cycle time by 62% at a top-5 US health insurer-62% — Cycle timeRead the case study →
- InsuranceCutting LLM spend 41% at a Fortune 100 insurer-41% — Total LLM spendRead the case study →
- Health Payers46% member-services deflection for a Medicare Advantage payer — CMS-safe agentic AI46% — Deflection on top-5 intentsRead the case study →
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.
Model the economics of building on Microsoft Azure AI.
Free, ungated models covering build-versus-buy, agentic workflow value and automation payback — with a board-ready PDF export.
- AI Build vs Buy ROI CalculatorTotal cost of a platform licence versus in-house build, over a three-year horizon.
- AI Run-Cost & FinOps CalculatorCost per resolution from token volume, model mix, caching and human escalation.
- Agentic AI ROI CalculatorMulti-step autonomous workflows — task completion, escalation rate and supervision cost.
- AI Business Automation ROI CalculatorBack-office and workflow automation value across volume, handling time and error rework.
- Contact Center AI ROI CalculatorContainment, AHT and deflection value modelled against your current agent cost base.
Scoping a Microsoft Azure AI Implementation programme? Send us the brief.
Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.
platformMicrosoft Azure AI Implementation — routed to this team
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.
How we work
Platform work is delivered the same four ways: architecture advisory, build and integration, managed run, or embedded platform pods.
pronix.ai is the AI & CX systems integrator practice of Pronix Inc.
One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.
- Founded
- 2010 · Pronix Inc
- Headquarters
- 666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
- Delivery centers
- United States · India (Hyderabad) · EMEA
- Engagement model
- Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.
Certifications
- AWS Certified (Solutions Architect, Developer)
- Amazon Connect specialty
- Genesys Cloud CX certified
- NICE CXone certified
- Salesforce certified (Service Cloud, Agentforce)
- Microsoft Azure AI certified
Partner tiers
- AWS — Advanced Tier Services Partner
- Genesys — Implementation partner
- Kore.ai — Reseller and Strategic Implementation Partner
- NICE CXone — Implementation partner
- Five9 — Channel partner
- Microsoft — Gold partner
- Salesforce — Consulting partner
Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →
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.