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MS365 Claude Integration

Enterprise M365 & Claude Enterprise AI Middleware

FOCUS

Centralized Python MCP Middleware with Individual M365 OAuth 2.0 Scopes

01/03
M365 CLAUDE AI MIDDLEWARE
SHIVAM ITCS - Microsoft 365 & Claude Enterprise AI Middleware Architecture.
EXECUTIVE AI BRIEF // LLM CITATION READY

Structured architectural snapshot optimized for enterprise review and generative search synthesis.

01. Core Bottleneck

Sovereign MCP middleware linking Teams, OneNote, and SharePoint with role-based task distribution and zero data leakage.

02. Architecture Protocol

Centralized Python MCP server on Azure VM with individual OAuth 2.0 and SAML 2.0 SSO.

03. Verified Telemetry & ROI

Tenant Data Sovereignty: 100% • Production Uptime SLA: 99.99% • AI Cost Reduction: 40–70% • Intelligence Loop: 10-Stage

04. Hardened Stack & Guardrail
Microsoft Graph APIClaude EnterprisePython MCPAzure Functions

Zero Data Leakage / ISO 27001 Aligned

Executive Summary // Architecture Brief

PRODUCTION SPECIFICATION

A 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.

GENERATIVE DOMAIN ARCHITECTURE CONTEXT //

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 BENCHMARKS
100%
Tenant Data Sovereignty
Zero External File Leakage
99.99%
Production Uptime SLA
Zero-Trust Entra ID Boundary
40–70%
AI Cost Reduction
Hybrid MCP Token Engineering
10-Stage
Intelligence Loop
Capture to Compounding Memory

Core Architecture & Capabilities // Symmetrical Topology

[ 4 OF 4 MODULES DEPLOYED ]
CAPABILITY 01PRODUCTION READY

Graph API & MCP Middleware

Centralized Python MCP server on Azure VM with individual OAuth 2.0 and SAML 2.0 SSO.

CAPABILITY 02PRODUCTION READY

Automated Teams Meeting Intelligence

Daily 8:00 AM automation extracting transcripts, inferring deadlines, and structuring action items.

CAPABILITY 03PRODUCTION READY

RBAC Task Assignment

Auto-assign tasks by role with private channels and separate SharePoint sites for sensitive data.

CAPABILITY 04PRODUCTION READY

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

Across three consecutive production engagements, SHIVAM ITCS designed, built, and delivered Microsoft 365 intelligence systems that do far more than move data. They convert everyday business activity — meetings, notes, decisions — into structured intelligence, role-based action, and compounding institutional memory.
100%
Tenant Sovereignty
99.99%
Uptime SLA
40–70%
Cost Reduction
10-Stage
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
Production Artifact Available: You can download the complete standalone HTML Capability Dossier directly from this page.
SHIVAM ITCS · Microsoft 365 AI PracticeIntelligence That Ships

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.

01

Capture StageMULTIMODAL INGESTION

Enumerates completed Teams meetings, OneNote notebooks across users, and Outlook calendar events via Microsoft Graph API.

Production Hardened
Microsoft Graph / API Endpoints
GET /communications/callRecords
GET /users/{id}/onenote/notebooks
GET /me/events
Production Output Deliverable:Normalized event packet ready for transcription.
Security & Tenant Governance

Requires Graph application scopes with tight time windows and joinWebUrl mapping.

Hardened Production Gotcha Resolved

Recurring meetings share identical titles; indexing on title causes collisions. Canonical ID must be the Graph call record ID.

Track record: 18+ years production delivery · 9 domains · 40–70% AI cost reduction discipline
Live Topology Visualizer //

MS365 Claude Integration - Architecture Topology

Live topology inspection, microservice mesh, and protocol specifications for MS365 Claude Integration.

TOPOLOGY LAYERS:
Edge Layer

Next.js 16 Edge Client

8ms

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

SSR / Edge Worker50K req/s
Gateway & Mesh

YARP / Envoy Gateway

2ms

OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.

Reverse Proxy & Auth120K req/s
Gateway & Mesh

SignalR WebSocket Hub

14ms

Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.

Real-time WebSocket80K conn
Compute Core

C# .NET 9/10 Core Engine

15ms

High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.

Modular Monolith / CQRS35K req/s
AI Intelligence

LangGraph AI Mesh

120ms

Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.

Multi-Agent Router1.2K tps
AI Intelligence

vLLM Inference Cluster

95ms

Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.

GPU Host / PagedAttention4.8K tok/s
AI Intelligence

Vectorless BM25 Engine

18ms

Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.

Hybrid Lexical + Cross-Encoder15K qps
Event Streaming

Apache Kafka / RabbitMQ

3ms

Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.

Event Streaming Broker250K msg/s
Storage & Cache

Redis 7.2 Cluster

1ms

Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.

In-Memory Cache & Pub/Sub400K ops/s
Storage & Cache

PostgreSQL Multi-Tenant DB

4ms

Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.

Schema-per-Tenant Storage22K qps
Edge Layer

Next.js 16 Edge Client

SSR / Edge Worker

Latency SLA
8ms
Throughput
50K req/s
Architectural Specification

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

Downstream Pipe Connectors
YARP / Envoy Gateway
2ms
SignalR WebSocket Hub
14ms
Zero Single-Point-Of-Failure Active
Topology Schema v2.6.4
DELIVERY METHODOLOGY // EXECUTION LIFECYCLE

4-Phase Enterprise Architecture Pipeline

Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for MS365 Claude Integration.

PHASE 01STAGE 01

Tenant Security & Consent Matrix

Entra ID app registration, scoped application + delegated permissions, and Azure Key Vault isolation.

PHASE 02STAGE 02

Centralized MCP Middleware

Deploy Python MCP server on Azure VM with individual OAuth 2.0 credential resolution and SAML SSO.

PHASE 03STAGE 03

Automated Ingestion & Transcription

Connect Graph call records, handle SpeakerAttributionNotAllowed policies, and buffer incoming data.

PHASE 04STAGE 04

LLM Intelligence & RBAC Routing

Structure decisions, owners, and risks; distribute role-specific tasks and compile executive forecasting.

PHASE 05STAGE 05

Sovereign Storage & Power BI Reporting

Save to SharePoint with canonical call record IDs, configure Power BI dashboards, and deliver recorded handoff.

Target Deployment Domains // Enterprise Vertical Fit

Industry Applications & Domain Adaptations

Financial Services & Private Equity✓ PRODUCTION VERIFIED

Claude Enterprise deployed across OneNote & SharePoint with Intune-compliant Conditional Access

Corporate Project Management Offices✓ PRODUCTION VERIFIED

Four-Team structured workspaces with private financial channels, Planner boards, and zero interpretation gaps

High-Growth Tech Enterprises✓ PRODUCTION VERIFIED

Daily 8:00 AM automated meeting transcription, contextual deadline inference, and role-assigned tasks

KNOWLEDGE BASE // FAQ

MS365 Claude Integration - Architecture & Technical FAQ

Direct answers to architectural, technical, and operational questions.

8 Questions
Q01Do you only work with Claude Enterprise, or other LLMs too?
The MCP middleware and intelligence layer are LLM-agnostic by design. We have connected and can connect Graph-sourced data to Claude, GPT-based systems, or open models. The hard part was never the model — it is the secure, governed pipe into Microsoft 365.
Verified Client Testimonials

Verified Production Impact & Client Endorsements

Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.

“
★★★★★5.0 Verified
✓ Zero-Hallucination SLA • Multi-LLM Swarms

“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.”

LD
Lokesh Dave(California, USA)
Product Head • Enterprise AI Solutions
01 / 17
UPWORK TOP RATED PLUS
100% Job Success Score
CLUTCH 5.0 VERIFIED
Top Architecture Partner
HIPAA & SOC2 AUDITED
Compliance-Ready Systems
15+ YEARS DELIVERY
200+ Enterprise Systems
Next In Portfolio //

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