Can AI integrate with Microsoft 365integrate
Yes. IRPR builds AI agents that live inside Teams, Outlook, and SharePoint. 12-week delivery, fixed pricing, enterprise-grade compliance.
Can AI integrate with Microsoft 365? Yes, through the Microsoft Graph API and Azure AI services. IRPR builds AI copilots that read your emails, summarize Teams meetings, auto-fill SharePoint lists, and respond to Outlook calendar invites. We use Azure OpenAI, Cognitive Search, and Logic Apps to wire AI directly into the tools your team already uses.
A full AI integration with Microsoft 365 ships in 10-14 weeks. Fixed pricing runs from $80K to $250K depending on the number of endpoints and AI models. Every build includes SOC 2-compliant data handling, role-based access control, and audit logging. You own the code, the prompts, and the deployment pipeline.
CTOs at mid-market logistics firms hire us to build dispatch AI agents in Teams. Healthcare operations directors need HIPAA-compliant AI that reads patient intake forms in Outlook. Fintech compliance leads want AI that flags risky language in SharePoint contracts. SaaS founders ask us to embed AI copilots into their own Microsoft 365 add-ins for resale.
Types of software we ship.
AI Copilot for Teams
An AI agent that joins Teams channels, answers questions from SharePoint documents, and summarizes threads using Azure OpenAI and Cognitive Search.
AI Email Assistant for Outlook
An add-in that drafts replies, prioritizes inbox, and extracts action items using Microsoft Graph and GPT-4. Deploys via Azure App Service.
AI Document Analyzer for SharePoint
A service that scans uploaded contracts, policies, and RFPs for key clauses and compliance risks. Uses Azure Form Recognizer and custom NLP models.
AI Meeting Scheduler in Microsoft 365
An agent that finds open slots across calendars, proposes agendas, and books rooms via Graph API. Reduces scheduling back-and-forth by 90%.
AI Data Entry Bot for Excel
A bot that reads incoming emails or PDFs and populates Excel Online sheets. Uses Power Automate, Azure Functions, and GPT-4 structured outputs.
AI Compliance Monitor for Microsoft 365
A watchdog that scans all Teams messages and SharePoint uploads for HIPAA, PCI, or FINRA violations. Flags issues in real time with Microsoft Sentinel integration.
AI Sales Coach for Dynamics 365 + Teams
An agent that listens to Teams call recordings, scores rep performance, and pushes tips to Dynamics 365. Uses Azure Speech-to-Text and custom scoring models.
AI Knowledge Base for Viva Engage
A bot that answers employee questions by searching SharePoint, OneDrive, and internal wikis. Uses Azure AI Search and GPT-4 with grounding.
We build for every business type.
Enterprise Operations
Healthcare
Financial Services
SaaS and Tech
Professional Services
What you get when AI integrates with Microsoft 365
IRPR ships working AI agents, not slide decks. Here is what lands in your tenant by week 12.
Every AI integration with Microsoft 365 starts with a security review of your tenant. We map out which Graph API permissions the AI needs, lock them down to least-privilege, and get your infosec team to sign off before a single line of code runs. The AI agent runs in your Azure subscription, not ours.
By week 8, you have a staging environment where the AI is reading real emails or Teams messages. You test it with actual data. By week 12, it ships to production with monitoring, logging, and a rollback plan. 98% of our projects hit the original deadline.
How IRPR builds AI for Microsoft 365 vs generic dev shops
Most agencies say they can integrate AI with Microsoft 365. Few have shipped it inside a regulated enterprise tenant.
Generic dev shops treat Microsoft 365 like any other SaaS. They hard-code API keys, skip the Graph API permission model, and deploy on shared infrastructure. When your security team audits the integration, it fails. IRPR starts with your tenant's compliance requirements and builds backward from there.
We have shipped AI agents inside Microsoft 365 for a HIPAA-covered pharmacy chain, a PCI-DSS Level 1 payment processor, and a SOC 2 SaaS company with 40,000 users. Each deployment passed audit on the first try because we document every permission, every data flow, and every encryption key.
- No Graph API permission model expertise
- Shared infrastructure, data leaves your tenant
- Hard-coded API keys in config files
- No audit logging for AI actions
- One-size-fits-all AI prompts
- No rollback plan for bad AI outputs
- Least-privilege Graph API scoping per endpoint
- All compute runs in your Azure subscription
- Key Vault + Managed Identity for every secret
- Every AI action logged to Azure Monitor
- Prompt engineering tuned to your data and domain
- Canary deployments with automated rollback
The 4-phase process to integrate AI with Microsoft 365
Every project follows the same roadmap. You see working software by week 4.
Phase 1 is the tenant audit. We map your Microsoft 365 environment, identify which Graph API endpoints the AI needs, and document every permission. Your security team reviews and approves before we proceed.
Phase 2 is the AI prototype. By week 4, you have a working AI agent in a sandbox Teams channel or Outlook mailbox. It uses real prompts on sample data. You test it, give feedback, we iterate. Phases 3 and 4 are hardening and production rollout.
What ships when AI integrates with Microsoft 365
Every IRPR project includes these deliverables by default. No hidden fees, no surprise gaps.
You get source code, deployment scripts, and documentation. The AI agent runs in your Azure subscription. You own everything. If you want to extend it later, your internal team has full access to the repo and the prompts.
- Source code in your Azure DevOps or GitHub repo
- CI/CD pipeline on GitHub Actions or Azure Pipelines
- Terraform or Bicep infrastructure-as-code scripts
- Azure Monitor dashboards with alert rules
- Full Graph API permission documentation
- Prompt library with version history
- PII redaction rules for all AI outputs
- Rate limiting and throttling configuration
- User acceptance test suite with 50+ scenarios
- Rollback runbook tested in staging
What we ship in this practice.
AI contract review agent in SharePoint
A logistics company reduced contract review time from 4 days to 4 hours. The AI scans uploaded PDFs in SharePoint, flags non-standard clauses, and emails a summary via Outlook. Stack: Azure Form Recognizer, GPT-4, Logic Apps.
HIPAA-compliant patient intake AI in Outlook
A 200-clinic healthcare network automated intake form processing. The AI reads emailed PDFs, extracts diagnoses and medications, and writes structured data to a SQL database. Reduced manual data entry by 12 hours per week per clinic. Stack: Azure OpenAI, Microsoft Graph, Azure SQL.
PCI-compliant payment reconciliation bot for Teams
A fintech processor built a Teams bot that queries Stripe and Braintree APIs, matches transactions to invoices in SharePoint, and alerts the finance channel on discrepancies. Saves 15 hours of manual reconciliation per week. Stack: Azure Bot Service, Stripe API, Graph API.
SOC 2 evidence collection agent for SaaS
A SaaS company with 40,000 users automated SOC 2 evidence gathering. The AI scans Teams channels and SharePoint for access reviews, change approvals, and incident reports, then compiles a compliance dashboard. Audit prep time dropped from 3 weeks to 2 days. Stack: Azure Cognitive Search, GPT-4, Power BI.
Real estate listing AI for Outlook and Teams
A brokerage built an AI that reads new listing emails, extracts property details, and posts formatted cards to a Teams channel. Agents get instant alerts on matching client criteria. Reduced listing-to-alert time from 6 hours to 2 minutes. Stack: Microsoft Graph, Azure Functions, GPT-4.
EdTech plagiarism checker in Microsoft 365
A university deployed an AI that scans student submissions in SharePoint, checks against a database of 100M papers, and returns originality reports to professors via Outlook. FERPA-compliant, all data stays in the university tenant. Stack: Azure AI Search, Custom Vision, Graph API.
Why teams hire us.
Fixed price, not hourly
Every AI integration with Microsoft 365 gets a fixed quote during the Roadmap phase (week 2). No hourly billing, no surprise invoices. If the scope changes, we re-quote before writing code.
Your Azure tenant, your data
The AI agent runs entirely in your Azure subscription. No data ever touches IRPR servers. We set up Managed Identity and Key Vault so no secrets leave your environment.
Senior engineers only
Every project is built by engineers with 8+ years of experience in Azure and Microsoft 365. No junior devs learning Graph API on your dime. We have shipped 200+ products across 50+ countries.
Compliance-first development
We start every project by mapping your compliance requirements (HIPAA, PCI, SOC 2, FERPA) to specific Azure policies. Your security team approves the architecture before a single line of AI code runs.
You own the code and the prompts
All source code, prompt libraries, and deployment scripts land in your repo. No vendor lock-in. Your internal team can extend the AI agent without calling us.
12-week delivery, 98% on-time
We ship working AI agents in 10-14 weeks. 98% of our projects hit the original deadline. If we are late, we eat the overage. That has happened twice in 200+ projects.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.