MS365 Claude Integration
Enterprise M365 & Claude Enterprise AI Middleware
Centralized Python MCP Middleware with Individual M365 OAuth 2.0 Scopes

Structured architectural snapshot optimized for enterprise review and generative search synthesis.
Sovereign MCP middleware linking Teams, OneNote, and SharePoint with role-based task distribution and zero data leakage.
Centralized Python MCP server on Azure VM with individual OAuth 2.0 and SAML 2.0 SSO.
Tenant Data Sovereignty: 100% • Production Uptime SLA: 99.99% • AI Cost Reduction: 40–70% • Intelligence Loop: 10-Stage
Zero Data Leakage / ISO 27001 Aligned
Executive Summary // Architecture Brief
PRODUCTION SPECIFICATIONA production-hardened Microsoft 365 AI integration and automation system. Connects Microsoft Graph API to Claude Enterprise via secure Python MCP middleware, orchestrating a 10-stage closed loop: from meeting voice capture and transcript parsing to role-assigned task distribution and executive Power BI forecasting.
Across three consecutive production engagements, SHIVAM ITCS designed, built, and delivered Microsoft 365 intelligence systems that convert everyday business activity — meetings, notes, decisions — into structured intelligence, role-based action, and compounding institutional memory. From deploying Claude Enterprise across financial services firms via custom Python MCP servers to configuring four-team structured M365 workspaces and automating daily Teams meeting intelligence with role-based task distribution, our architecture enforces 100% tenant data sovereignty. Content never leaves the customer Microsoft boundary, secrets reside in Azure Key Vault, and access follows the principle of least privilege.
Key Impact & Verified Metrics // 2026 Telemetry
LIVE PRODUCTION BENCHMARKSCore Architecture & Capabilities // Symmetrical Topology
[ 4 OF 4 MODULES DEPLOYED ]Graph API & MCP Middleware
Centralized Python MCP server on Azure VM with individual OAuth 2.0 and SAML 2.0 SSO.
Automated Teams Meeting Intelligence
Daily 8:00 AM automation extracting transcripts, inferring deadlines, and structuring action items.
RBAC Task Assignment
Auto-assign tasks by role with private channels and separate SharePoint sites for sensitive data.
Zero Data Leakage Sovereignty
Preview URLs via Graph keep content inside the customer tenant; secrets stored in Azure Key Vault.
Executive Architecture: The M365 Intelligence Loop
Core Capabilities & Production Guarantees
- Deep Microsoft Graph API integration across OneNote, call records, transcripts, DriveItem, and calendar events
- Centralized Python MCP middleware hosted on Azure VM with individual OAuth 2.0 credential resolution
- Role-based intelligence routing: junior members get role tasks, while leadership receives predictive forecasting
- Strict data residency: content stays 100% inside your tenant with Graph preview URLs and Azure Key Vault isolation
- Production resilience: idempotency, per-item isolation, 429 exponential backoff, dead-letter logging, and DST-aware cron
The M365 Intelligence Loop & Claude Enterprise Topology
Sovereign Graph API pipelines, centralized Python MCP middleware on Azure VM, and role-based action routing with zero tenant data leakage.
Capture StageMULTIMODAL INGESTION
Enumerates completed Teams meetings, OneNote notebooks across users, and Outlook calendar events via Microsoft Graph API.
GET /communications/callRecordsGET /users/{id}/onenote/notebooksGET /me/eventsRequires Graph application scopes with tight time windows and joinWebUrl mapping.
Recurring meetings share identical titles; indexing on title causes collisions. Canonical ID must be the Graph call record ID.
MS365 Claude Integration - Architecture Topology
Live topology inspection, microservice mesh, and protocol specifications for MS365 Claude Integration.
Next.js 16 Edge Client
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
YARP / Envoy Gateway
OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.
SignalR WebSocket Hub
Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.
C# .NET 9/10 Core Engine
High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.
LangGraph AI Mesh
Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.
vLLM Inference Cluster
Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.
Vectorless BM25 Engine
Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.
Apache Kafka / RabbitMQ
Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.
Redis 7.2 Cluster
Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.
PostgreSQL Multi-Tenant DB
Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.
Next.js 16 Edge Client
SSR / Edge Worker
Architectural Specification
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
Downstream Pipe Connectors
4-Phase Enterprise Architecture Pipeline
Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for MS365 Claude Integration.
Tenant Security & Consent Matrix
Entra ID app registration, scoped application + delegated permissions, and Azure Key Vault isolation.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Centralized MCP Middleware
Deploy Python MCP server on Azure VM with individual OAuth 2.0 credential resolution and SAML SSO.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Automated Ingestion & Transcription
Connect Graph call records, handle SpeakerAttributionNotAllowed policies, and buffer incoming data.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
LLM Intelligence & RBAC Routing
Structure decisions, owners, and risks; distribute role-specific tasks and compile executive forecasting.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Sovereign Storage & Power BI Reporting
Save to SharePoint with canonical call record IDs, configure Power BI dashboards, and deliver recorded handoff.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
4-Phase Enterprise Architecture Pipeline
Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for MS365 Claude Integration.
Tenant Security & Consent Matrix
Entra ID app registration, scoped application + delegated permissions, and Azure Key Vault isolation.
Centralized MCP Middleware
Deploy Python MCP server on Azure VM with individual OAuth 2.0 credential resolution and SAML SSO.
Automated Ingestion & Transcription
Connect Graph call records, handle SpeakerAttributionNotAllowed policies, and buffer incoming data.
LLM Intelligence & RBAC Routing
Structure decisions, owners, and risks; distribute role-specific tasks and compile executive forecasting.
Sovereign Storage & Power BI Reporting
Save to SharePoint with canonical call record IDs, configure Power BI dashboards, and deliver recorded handoff.
Industry Applications & Domain Adaptations
Claude Enterprise deployed across OneNote & SharePoint with Intune-compliant Conditional Access
Four-Team structured workspaces with private financial channels, Planner boards, and zero interpretation gaps
Daily 8:00 AM automated meeting transcription, contextual deadline inference, and role-assigned tasks
MS365 Claude Integration - Architecture & Technical FAQ
Direct answers to architectural, technical, and operational questions.
Verified Production Impact & Client Endorsements
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
Related Works & Architectures
Explore interconnected production systems, domain-specific implementations, and technical blueprints from our engineering portfolio.
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