Microsoft 365 and Azure. Faster with AI. No compromises.

Microsoft-only senior engineers, AI-augmented: working prototype in 2 weeks, in production in 6. Same enterprise quality, governance and GDPR included by default. Microsoft Gold Partner for 15 years.

Clients

200+ Microsoft implementations in production, across every industry.

See our projects
  • Manufacturing
  • Pharmaceutical
  • Retail
  • Professional Services
  • Public Administration
  • Healthcare
  • Finance
  • Insurance
  • Logistics
  • Media
  • Real Estate
  • Education
Bracco
Trenord
Bulgari
Scavolini
MSC Crociere
Swatch
LuVe Group
CDI
Ariston
Italo
BRT
Dolomiti Energia

Services

AI-augmented on Microsoft. Faster, without cutting corners.

01

Senior engineers + AI tools

Our engineers use AI to produce more: architectural judgement stays human, execution speed is AI. Same quality, less time.

02

100% Microsoft, by choice

No generic frameworks, no alternative cloud. 15 years on a single stack means depth that generalists simply cannot replicate.

03

Enterprise governance included

Audit trail, RBAC, GDPR, ISO 9001: built in from day one, not bolted on at the end. Your data stays inside the Microsoft tenant.

What we do

AI at work

Not just RAG. AI that accumulates knowledge about your company.

Most AI tools start from scratch on every query. We build systems that learn, accumulate and stay aligned with your organisation.

Enterprise LLM Wiki

Persistent knowledge base fed by documents, procedures and meeting notes. The model doesn't reprocess from scratch every time: it accumulates, cross-references and keeps knowledge current. More powerful than classic RAG.

AI Adoption and Microsoft Copilot

We guide companies through the full journey: training and change management, Microsoft Copilot adoption, through to custom plugins and agents that bring business data — ERP, CRM, SharePoint — directly into Teams.

Operational Agents on Teams

They answer operational questions, open tickets, retrieve data from SharePoint and Dataverse, send reports — without changing tools. Everything inside Teams, where your team already works.

Knowledge Base from intranet.ai

intranet.ai automatically feeds the enterprise knowledge base: intranet content becomes the source of truth for AI, always up to date and queryable in natural language by your colleagues.

Explore all AI use cases →

Free guide

4 steps to deploy an AI agent on Microsoft 365

From choosing the right process to go-live: the practical guide we share with every client before starting an AI project.

  • How to pick the right pilot process
  • Minimal architecture on Azure + Teams
  • Governance, permissions and sensitive data
  • KPIs to measure your agent's ROI
Download the free guide

Working prototype in 2 weeks. Let's start with a free evaluation.

Get a Free Evaluation

Numbers

15 years on Microsoft. AI-augmented since 2024. Results that speak for themselves.

15 Years

Microsoft Gold Partner

ISO 9001

Certified :2015

35%

Organic Growth 2025

96%

Client Retention 2025

200+

Successful implementations

100%

Microsoft Ecosystem

Reviews

What our clients say about us.

4.9 · 67 reviews on Google

"It's not easy to find professionals as competent and passionate as I found at this company. Congratulations."

— Raffaele Paolucci

"I recommend Dev4Side 100%! I needed their support and they were absolutely exceptional — not only very kind, but also fast and effective. A special thanks to the whole team!"

— Simona Quaglia

"I have been working with this company for several years and can confirm their great competence, reliability and availability. Always ready to support us with effective and tailored solutions — a solid and trustworthy long-term partner."

— Elisa Carrara

"Very competent company in the Microsoft 365 space, with professional and skilled technicians. Thanks to their help we were able to implement new technologies and solve difficult problems."

— Giovanni Resnati

"I confirm the excellent collaboration with Dev4Side. Engaged for a fairly critical project in cloud Azure software development, they proved extremely competent."

— Antonio Schepis

"Since 2022 we have been working with Dev4Side for national and international internal communications. The team is always present and ready to handle our requests, always offering solutions, ideas and interesting insights. We highly recommend Dev4Side to anyone looking for a reliable and innovative partner."

— Lucrezia Giulia Rossi

FAQ

Frequently asked questions about Dev4Side and AI on Microsoft 365

Q: What sets Dev4Side apart from other Microsoft consulting firms?

A: We specialise in native AI integration on Microsoft 365: custom agents, enterprise LLM Wikis and document automation built on the Microsoft platform you already use. We don't adapt generic tools — we develop AI that integrates with SharePoint, Teams and Power Platform while respecting existing governance and permissions. 15 years as a Gold Partner is the foundation; AI is the direction.

Q: Do you develop software outside the Microsoft platform?

A: We focus exclusively on Microsoft technologies — Azure, .NET, Microsoft 365, Power Platform and related Microsoft stacks. This specialisation allows us to deliver superior results in the Microsoft environment, including seamless integration with existing infrastructure.

Q: Can you add AI capabilities to our existing Microsoft applications?

A: Absolutely. We specialise in integrating AI functionality into existing Microsoft software, whether built on Azure, .NET, SharePoint or other Microsoft platforms. Our approach includes intelligent automation, document processing, conversational interfaces and predictive analytics.

Q: What types of Microsoft business software do you develop?

A: We build complete Microsoft business applications including Azure cloud solutions, 100% custom enterprise systems, SharePoint-based platforms, Power Platform applications, Microsoft Teams integrations and Microsoft 365-connected software.

Q: What distinguishes an enterprise LLM Wiki from classic RAG?

A: With classic RAG, the model reprocesses raw documents on every query — there is no accumulation. An enterprise LLM Wiki instead builds a persistent knowledge base: every new document is integrated, cross-references updated, contradictions flagged. The result is a system that truly knows your company and improves over time, rather than 'rediscovering' the same information every time.

Ready to ship? Prototype in 2 weeks, in production in 6.

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