Own your models, data, and code on your own servers — vs. a per-seat assistant embedded in the Microsoft cloud
Self-hosted AI runs on infrastructure you control — your own servers, your private cloud, or a fully air-gapped network. You own the code, the data, and the models, and you can run any LLM you choose.
Microsoft Copilot is a managed assistant woven into Microsoft 365 — Word, Excel, Teams, Outlook — built on Microsoft and OpenAI models, billed at roughly $30 per user per month, with your data processed in the Microsoft cloud.
Copilot's strength is its deep fit with the Microsoft ecosystem and zero setup. Self-hosted AI's strength is ownership, privacy, model freedom, and flat cost at scale. This comparison covers both — and when each is the right call.
by Open-source / ibl.ai
AI platformby Microsoft
AI platform| Criteria | Self-Hosted AI | Microsoft Copilot |
|---|---|---|
| Out-of-the-Box Productivity | Strong agent capability once deployed; you configure the workflows you need. | Polished assistance inside Word, Excel, Outlook, and Teams from day one. |
| Microsoft 365 Integration | Connects to M365 and other systems via APIs and MCP, with work to configure. | Native, deep integration across the Microsoft 365 suite. |
| Custom Agents & Workflows | Build and own production agents tailored to your processes and data. | A few prebuilt agents; customization bounded by the platform. |
| Fine-Tuning & Model Control | Full fine-tuning and routing across any model on your own data. | Locked to Microsoft + OpenAI models with limited tuning. |
| Criteria | Self-Hosted AI | Microsoft Copilot |
|---|---|---|
| Self-Hosting / On-Prem / Air-Gapped | Run on your servers, private cloud, or fully air-gapped with zero external calls. | Runs in the Microsoft cloud; cannot be self-hosted or air-gapped. |
| Data Sovereignty & Privacy | Prompts, documents, and embeddings never leave your environment. | Tenant controls help, but data is processed in the Microsoft cloud. |
| Model Choice | Any LLM — open-source or commercial — and switch anytime. | Locked to Microsoft and OpenAI models. |
| Source Code & Platform Ownership | Own the full platform code; no lock-in to a vendor's roadmap. | You rent access; the platform and roadmap belong to the vendor. |
| Criteria | Self-Hosted AI | Microsoft Copilot |
|---|---|---|
| Out-of-the-Box Convenience | Requires infrastructure and setup, or a partner to deploy it for you. | Turn it on across your existing Microsoft 365 tenant. |
| Cost at Scale | Flat, usage-based cost on owned compute — no per-seat fees. | About $30 per user per month; cost rises with every seat. |
| Compliance Fit (HIPAA / FedRAMP / FERPA) | Data stays in your perimeter and every interaction is logged for audit. | Strong Microsoft compliance coverage under shared-responsibility terms. |
| Support & Maintenance | Self-managed, or fully supported with forward-deployed engineers. | Fully managed by Microsoft with enterprise support. |
Self-hosted AI gives you the model and platform to run offline, fine-tune on proprietary data, and keep every prompt inside your walls — essential under strict data, residency, or air-gap requirements.
Copilot shines for organizations standardized on Microsoft 365, adding capable assistance directly inside the apps employees already use.
Choose Copilot for the deepest Microsoft 365 fit with zero setup; choose self-hosted AI when ownership, privacy, and model freedom matter most.
Self-hosting replaces ~$30/user/month licensing with flat cost on compute you own, so broad rollouts don't scale linearly with headcount.
Copilot's per-seat model is predictable per user but grows with every license across a large workforce.
For organization-wide deployment, owned infrastructure is often far cheaper than per-seat Copilot at scale.
Run a self-hosted platform for sensitive, high-volume, or custom-agent workloads you need to own.
Keep Copilot for everyday productivity inside Microsoft 365 where its native integration helps.
Many organizations pair Copilot for in-app productivity with a self-hosted platform for private, owned AI agents — a model-agnostic platform makes that split clean.
Self-hosting keeps data in your environment, supporting HIPAA, FedRAMP, FERPA, residency, and air-gap requirements a managed cloud assistant cannot meet.
Copilot's native integration across Word, Excel, Teams, and Outlook delivers immediate in-app value.
Flat, usage-based cost on owned compute avoids ~$30/user/month per-seat fees that scale with headcount.
Owning the platform lets you build, route, and tune production agents across any model — beyond Copilot's prebuilt set.
Timeline: A few weeks, depending on infrastructure and MLOps maturity
Timeline: Days to a couple of weeks
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.