Azure AI services
Azure AI services for teams whose data already lives in Microsoft
Azure AI services are Microsoft's managed AI services on Azure, including Azure OpenAI, Azure AI Search and Azure AI Document Intelligence. HabileLabs builds them into your applications and document workflows, and rolls out Microsoft 365 Copilot starting with a partner-led 30-day trial.
We are a Microsoft Solutions Partner: Data and AI, Infrastructure, Digital and App Innovation, with 38+ Azure specialists.
- Microsoft Solutions Partner for Data & AI
- Azure OpenAI, AI Search and Document Intelligence
- Microsoft 365 Copilot from a 30-day trial
Microsoft Solutions Partner
Three Microsoft Solutions Partner designations for Azure, Data & AI among them.
- 3Azure designations
- 38+Azure specialists
- 30day Copilot trial
What we build on Azure AI
Six kinds of work, and the Azure service behind each
Our AI, machine learning and natural language processing projects draw on our Microsoft Data & AI designation. Each card links to the service page with more detail.
Azure OpenAI
Assistants that answer from your own content
GPT models through Azure OpenAI, grounded in your own documents and systems with retrieval-augmented generation (RAG), for assistants, AI agents and multimodal applications.
LLM developmentAzure AI Search
Search across documents and knowledge
Semantic search and retrieval over your documents and knowledge bases, with indexing and tagging, and the retrieval step behind a RAG assistant.
Document processingAzure AI Document Intelligence
Data pulled out of documents
Data extracted from loan applications, KYC documents, financial statements and bank statements, classified and connected to your ERP or CRM.
Document processingAzure AI Speech
Chat and voice assistants
Chatbots and voice assistants powered by language models and connected to your systems, with Azure speech services and IVR integration.
Conversational AIAzure Machine Learning
Custom machine learning models
Models trained on your data for forecasting, classification or recommendations, with automated retraining and drift detection once they are live.
Custom AI developmentCopilot Studio
Copilot inside your own applications
Microsoft 365 Copilot extended with agents built in Copilot Studio, so it can use data and actions from your own systems.
Microsoft 365 Copilot
Not sure which one fits? Start with a free AI readiness assessment.
Copilot or a custom build
Two routes to AI on Microsoft: Copilot, or your own application
Microsoft 365 Copilot works inside Word, Excel, PowerPoint, Outlook and Teams, on content each user can already open. A custom application on Azure AI services is for work that sits outside Microsoft 365: document pipelines, your own applications and assistants for customers.
Microsoft 365 Copilot
- Works inside Word, Excel, PowerPoint, Outlook and Teams
- Answers from the mail, files, meetings and chats a user can already open
- Starts with a partner-led 30-day trial in your own environment
- Permissions and sharing reviewed before Copilot goes live
- Extended into your own systems with Copilot Studio agents
Which fits?
Custom Azure AI application
- Built on Azure OpenAI, Azure AI Search and Document Intelligence
- Grounded in your own documents and systems with RAG
- Connected to Dynamics 365, SharePoint, Salesforce or SAP
- Serves customers as well as employees, by chat or voice
- Run with monitoring and governance after launch
Weighing Copilot? Start a 30-day Copilot trial. Planning a custom build? Get a free AI readiness assessment.
How an engagement runs
From first use case to production in four stages
We test the critical use case before full-scale development, then stay with the platform once it is live.
Stage 1
Discovery
We assess your systems, data and business processes to find high-impact AI opportunities, identify technical gaps and define success metrics.
What we look at
- Business processes
- Data sources
- Technical gaps
- Success metrics
What you get
Use cases ranked before any model is built.
Stage 2
Proof of concept
We test the critical use case, such as a chatbot, an AI copilot or an automation workflow, before full-scale development.
Typical Azure services
- Azure OpenAI
- Azure AI Search
- Copilot Studio
For Copilot
A Copilot engagement starts with the partner-led 30-day trial in your own environment, built around use cases you choose.
Stage 3
Minimum viable product
We build a scalable MVP that validates the concept and lays the foundation for production.
Typical connections
- Azure AI Document Intelligence
- Dynamics 365
- SharePoint
- SQL Server
Before launch
We test against your own data, including permissions, privacy controls, guardrails and fallback behavior.
Stage 4
Platform support and scale
We provide platform support, system integration and managed services, up to full-scale production.
What we track
- Accuracy
- Drift
- Cost
After launch
We keep monitoring accuracy, drift and cost, with automated retraining where a model needs it.
Not sure where to start?
A free AI readiness assessment plans the use cases, data and roadmap before you commit to a build.
Published results
Our Azure case study is a backup project; our published AI results ran on other platforms
Azure · Backup50%lower cold storage backup costs on Azure Blob Storage, compared with physical disksMarsons Energy →
Agentic AI · Amazon Bedrock42% → 85%of deals with complete qualification data, within 6 monthsiSEEit →
Document AI · Fully offline2.8 lakhAadhaar documents masked in one week by an AI and OCR pipeline inside the bankUtkarsh Small Finance Bank →
Events
Microsoft AI events we host and take part in
Sessions on Azure AI and Microsoft 365 Copilot, some with SoftwareOne and Microsoft.
AI Race Refuel Days: Azure AI & Microsoft Copilot
Gurgaon, 18 September 2026. Brought to you by SoftwareOne, Microsoft and HabileLabs, with our Chief Analytics Officer, Vinod Kumawat, among the speakers.
Beyond Prompts: Putting Microsoft 365 Copilot to Work Across Your Business
Webinar, 28 September 2026. Copilot across Outlook, Teams, Word, Excel and PowerPoint, with HR operations and procurement use cases.
Join Exclusive Webinar: Microsoft 365 Copilot
Webinar, 6 August 2026, with Sudhanshu Kumawat of HabileLabs. The recording is on the webinar page.
Azure Innovation Summit 2025 - Jaipur
An event in Jaipur in September 2025 on AI and digital transformation with Microsoft Azure.
Keep exploring
More Microsoft and AI services from the same team
Microsoft 365 Copilot
A partner-led 30-day trial in your own environment, then permissions, training and rollout where Copilot pays off.
Microsoft 365 CopilotPower BI and Microsoft Fabric
Data from your business systems in one place, one semantic model, and dashboards that refresh on their own.
Power BI and FabricAzure consulting and migration
Servers, databases and applications moved to Azure in planned waves, with a landing zone built first.
Azure migrationManaged Azure services
Monitoring, patching, backups, access control and application support, with a monthly health and cost review.
Managed AzureGenerative AI
LLMs, RAG and GenAI applications on your own data, from consulting to document processing.
Generative AIWhy HabileLabs for Microsoft
Three Solutions Partner designations for Azure, and one team for migration, operations, cost, data and Copilot work.
Why HabileLabs
Azure AI FAQs
Azure AI services: common questions
What the services are, how Copilot and a custom build differ, how a project starts and what we can show.
Microsoft's managed AI services on Azure: Azure OpenAI for GPT models, Azure AI Search for search and retrieval, Azure AI Document Intelligence for reading documents, Azure AI Speech for voice, and Azure Machine Learning for custom models. HabileLabs builds them into applications, document workflows and assistants.
HabileLabs is a Microsoft Solutions Partner: Data and AI, Infrastructure, Digital and App Innovation. Microsoft awards each designation against a partner capability score that measures performance, skilling and customer success in that solution area. Our AI, machine learning and natural language processing projects draw on the Data & AI designation.
Yes. Azure OpenAI is one of the platforms we build GPT-based applications on, for RAG, AI agents and multimodal applications, alongside Amazon Bedrock. Which one fits depends on where your data and users already are.
If the work happens in Word, Excel, PowerPoint, Outlook and Teams, start with the 30-day Copilot trial. If it involves your own systems, document pipelines or customers, a custom application on Azure AI services fits better. A free AI readiness assessment helps you decide.
Yes. We connect AI to SharePoint, Dynamics 365, Office 365, Salesforce and SAP, and use databases such as SQL Server as sources for retrieval.
Answers come from approved data sources, with role-based access, privacy controls, guardrails, audit logs and human review where decisions matter. For Copilot, permissions and sharing are reviewed before it goes live, because Copilot shows each user only what that user can already open.
Our published Azure case study is Marsons Energy, a backup project on Azure Blob Storage that cut cold storage backup costs by 50% compared with physical disks. Our published AI results, such as iSEEit's agents and Utkarsh Small Finance Bank's offline document AI, ran on AWS and on-premises.
With a free AI readiness assessment or a free first consultation: you share your business challenges and AI goals, and we identify high-impact use cases. We then test the critical use case with a proof of concept before full-scale development.
Next step
Find out where Azure AI fits in your business
An Azure specialist will come back with an approach, the effort and the risks, whether or not we end up working together.
- Microsoft Solutions Partner
- 38+ Azure specialists
- Copilot from a 30-day trial
Jaipur · Gurugram · Mumbai · Udaipur · Plano · Surrey · Zug