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Azure AI Services Development with Microsoft Foundry Tools
Bring AI into your business workflows, AI agents, and applications with Azure AI Services and Microsoft Foundry Tools. PSSPL helps you use document processing, multimodal AI, speech, voice, language, translation, and secure automation across your Azure environment.
Microsoft Solutions Partner (Data & AI) | Document AI · OCR · IDP | Speech · Vision · Language | ISO 27001 · Responsible AI
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1000+
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Employees
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26+
Years of Experience
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What Are Azure AI Services – and How Do Foundry Tools Fit In?
Azure AI Services, formerly known as Azure Cognitive Services, are ready-to-use AI capabilities from Microsoft. They let businesses integrate features into their systems such as translation, language understanding, speech recognition, document processing, and image analysis without explicitly needing to develop AI models from scratch.
In 2026, many of these capabilities are being brought together under Microsoft Foundry as Foundry Tools. This includes tools for Speech, Translator, Language, Document Intelligence, Content Understanding, and Face, while some Azure AI capabilities continue to have their own product names.
PSSPL leverages these tools for use cases like intelligent document processing (IDP) and multimodal AI and connects them with RAG, copilots, agents, and enterprise workflows.
How Azure AI Services Fit into Microsoft Foundry?
How it fits together: Azure AI services are ready-to-use AI capabilities that are available via Microsoft Foundry as Foundry Tools. These include Speech, Translator, Language, Document Intelligence, Content Understanding, and Face. However, not every Azure AI capability has been renamed, and some continue to keep their own product identity.
Prebuilt and API-Based
These managed AI services can be added to applications through APIs, so businesses can use AI without training models from scratch. They can also work alongside generative AI.
Two Ways to Process Documents
Document Intelligence focuses on structured and reliable data extraction from documents. Content Understanding uses LLM-based reasoning to work alongside documents and other types of content. They can be used separately or together, depending on the use case.
Part of One AI Ecosystem
Foundry Tools can work with Azure AI Foundry Models like Azure OpenAI, Foundry IQ through Azure AI Search, and Foundry Agent Service to build complete AI apps and workflows.
Build Smarter Document Workflows with Azure AI
Turn business documents into structured data that can move directly into your systems. Automate routine processing, use confidence scores to flag uncertain outcomes, and keep human review where it’s required.
What We Build
- Invoice, purchase order, receipt, and tax document processing
- Contract review, clause extraction, and risk identification
- Claims, loans, KYC, onboarding, and case-file processing
- Email and document classification
- Table, signature, metadata, and layout extraction
- Human review for low-confidence or high-risk cases
- Data integration with Dynamics 365, Power Automate, SharePoint, SQL, Fabric, ERP, and CRM
- Accuracy tracking and ongoing optimization
Production-Ready Content Understanding
We use the generally available Content Understanding 1.0 API for production development and content workflows. It supports structured outputs, custom schemas, and grounding, making extracted information easier to use in RAG and AI agent workflows.
Exploring the Next Generation of Document AI
For more advanced use cases, we can test Content Understanding 2.0 preview features like synchronous document processing, semantic chunking, advanced classification, contextualization, and agentic document reasoning. These features are treated as pilots until they become generally available.
Document Intelligence vs. Content Understanding: What Suits Your Business Needs?
Use Document Intelligence when you need predictable field, table, layout, and OCR extraction from known document types. Consider Content Understanding when the workflow involves variable layouts, unstructured content, multimodal inputs, cross-document reasoning, or outputs that must power AI agents and RAG. PSSPL can benchmark both approaches against your real documents and define confidence-based human-review rules.
| Capability | Best for | What it helps with |
|---|---|---|
| Azure Document Intelligence | Structured and templated documents | Extract invoice data, forms, tables, fields, and layouts |
| Azure Content Understanding | Complex and multimodal content | Understand contracts, document sets, images, audio, video, and unstructured content |
| Foundry Models | AI generation and reasoning | Build copilots, assistants, and business-specific AI workflows |
| Foundry IQ / Azure AI Search | Search and grounding | Turn processed content into searchable, source-based AI knowledge |
| Foundry Agent Service | AI agents and automation | Take actions, connect to APIs, handle exceptions, and automate multi-step tasks |
These capabilities are especially useful for insurance, finance, tax, procurement, logistics, healthcare administration, and legal workflows.
Speech, Voice AI, Translation, Vision, and Language
Azure Speech & Voice AI
Speech-to-text, text-to-speech, live transcription, translation, and custom voices for voice assistants, accessibility, and call-center applications.
Azure AI Vision
Tools for image analysis, OCR, object and product detection, and video analysis. Most common uses are quality checks, workplace safety, and retail.
Azure AI Language & Translator
Capabilities for extracting information, classifying text, summarizing content, detecting sentiment and PII, and translating languages.
Face
Face detection and verification for identity and access use cases, with Microsoft’s responsible AI requirements in place.
AI-Powered Call Center Intelligence
Call Transcription
Convert customer calls into accurate transcripts during or after the call, across multiple languages.
Call Summaries
Generate call summaries and suggest further steps.
Quality and Compliance
Check the call’s quality, follow workflows, and find out the underlying compliance issues.
Agent Assist
Support agents during ongoing calls with real-time translation, information, and recommended responses.
Customer Insights
Turn conversations into meaningful insights that help product and service teams understand the trends and what a customer is currently looking for.
Customer Signals
Find out sentiment, topics, intent, and patterns that may lead to escalations.
Connect Foundry Tools to RAG and AI Agents
Prepare Data for Multimodal RAG
Turn PDFs, scans, tables, diagrams, images, audio, and video into structured, searchable knowledge. Content Understanding can help prepare this data for Azure AI Search, Foundry IQ, enterprise copilots, and AI agents.
Enable Document-Based AI Agents
Allow AI agents to efficiently read, classify, and understand business documents before taking any action. These agents can update platforms, route exceptions, or send cases for approval with the help of Azure AI Foundry Models and Foundry Agent Service.
Where Azure AI Solutions Make a Difference?
Intelligent Document Processing
Pull data from invoices, contracts, claims, and forms and send it to the right system.
AI-Powered Call Centers
Transcribe calls, understand customer sentiment, check the quality of the call, and assist agents.
Speech & Voice
Create voice-based experiences with the help of speech recognition, text-to-speech, and translation.
Visual Quality Inspection
Use computer vision to identify defects, check compliance, and support workplace safety.
Multimodal Knowledge Extraction
Process documents, images, audio, and video to create useful data for RAG and AI agents.
Real-Time Multilingual Experiences
Help customers and employees communicate across languages with real-time translation.
KYC, Onboarding & Lending
Automate document-heavy processes such as KYC, onboarding, insurance, and lending while keeping human review where needed.
Retail Product & Shelf Intelligence
Recognize products and assess shelves and video to support retail operations.
Email & Unstructured Content
Extract useful information from emails and attachments and automate follow-up workflows.
Security, Human Review, Quality & Cost
Security & Governance
Safeguard AI workloads via tools such as Entra ID, managed identities, private endpoints, Key Vault, RBAC, logging, and monitoring. Data retention and regional requirements can also be built into the architecture.
Human Review When Needed
Automate routine tasks, but keep people in the loop for sensitive or uncertain cases. High-confidence results can be processed automatically, while others can be sent for a review. Feedback from reviewers can then fine-tune the process.
Quality & Cost
Accuracy Monitoring
Measure document-processing accuracy with the help of real business data and track results over time.
Observability
Use logs, traces, and dashboards to monitor extraction quality, system performance, and processing volume.
Cost Control
Use the right models, along with batching and caching, to keep AI processing efficient and costs predictable.
Bring Azure AI into Production
From document processing and multimodal AI to speech, vision, translation, RAG, and AI agents, we help connect the right Azure AI tools to your business workflows. Tell us what you’re trying to create, and we’ll test the right approach using your real data.
Client Success Stories
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Frequently Asked Questions
Yes, they are. They have been renamed to Azure AI services, and their capabilities are available. Azure AI solutions are unified within Microsoft Foundry as Foundry Tools. Our experts analyze existing implementations and plan the right modernization path.
Document Intelligence is well suited for quick and reliable extraction of text, tables, or templated documents. Content Understanding helps add LLM-based reasoning for complex, multimodal content such as images, videos, audio, and documents with custom schemas, confidence scores, and grounding.
Of course. With the help of Content Understanding, docs, images, audio, and similar types of media or documents can be processed. It is best suited for downstream RAG and agent workflows.
Yes, Azure AI Services work with Foundry Models, including Azure OpenAI, Foundry IQ / Azure AI Search, and Foundry Agent Service, to combine prebuilt AI, generative AI, search, and AI agents in one solution.
Yes. We build document-processing systems for invoices, contracts, and other documents with the help of extraction, classification, exception handling, and integration with business systems.