Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in the Microsoft cloud
Financial Services organizations adopting AI face one hard constraint before any feature: client financial data and trading records must stay protected under SEC, FINRA, SOX, and PCI DSS rules. Where the AI runs — and who controls it — matters as much as what it does.
Microsoft Copilot is a managed assistant from Microsoft, billed at about $30 per user per month and running in the Microsoft cloud on Microsoft and OpenAI models. Its strength is deep Microsoft 365 integration with little setup, but it is tied to Microsoft 365 and OpenAI models and your data is processed in the vendor's cloud.
Self-hosted AI runs on infrastructure you control — on-premise, in your private cloud, or fully air-gapped. You own the code, the data, and the models, run any LLM, and keep client financial data and trading records inside your perimeter, integrated with Bloomberg, Refinitiv, FIS, and Salesforce Financial Cloud. This comparison covers compliance monitoring, risk assessment, client advisory, KYC/AML, and research for financial services — and when each option is the right call.
by ibl.ai
Owned agentic AI platformby Microsoft
Per-seat AI assistant| Criteria | Self-Hosted AI | Microsoft Copilot |
|---|---|---|
| Out-of-the-Box Productivity | Strong agent capability once deployed; you configure the workflows your teams need. | Polished assistance from day one with deep Microsoft 365 integration. |
| Financial Services System Integration | Deep integration with Bloomberg, Refinitiv, FIS, and Salesforce Financial Cloud via APIs and MCP, built around your data. | Connects to common tools, but integration with sector systems is limited. |
| Custom Agents & Workflows | Build and own production agents for compliance monitoring, risk assessment, client advisory, KYC/AML, and research. | A few prebuilt agents; customization is bounded by the platform. |
| Any-LLM & Model Control | Run any open or commercial model, route by cost/latency/capability, and switch anytime. | Runs on Microsoft and OpenAI models; tied to Microsoft 365 and OpenAI models. |
| 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 Stays in Your Perimeter | client financial data and trading records never leaves your environment; every interaction is logged for audit. | Vendor controls help, but data is processed in the provider's cloud. |
| Model Choice | Any LLM — open-source or commercial — under your control. | 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 |
|---|---|---|
| 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 & Audit Fit | Data stays in your perimeter, supporting SEC, FINRA, SOX, and PCI DSS rules with full audit logging. | Vendor compliance coverage under shared-responsibility cloud terms. |
| Time-to-Value | Requires infrastructure and setup, or a partner to deploy it for you. | Turn it on for your users with minimal setup. |
| Support & Maintenance | Self-managed, or fully supported with forward-deployed engineers. | Fully managed by Microsoft with enterprise support. |
Self-hosted AI keeps client financial data and trading records inside your perimeter and can run fully air-gapped — the strongest posture for SEC, FINRA, SOX, and PCI DSS rules.
Microsoft Copilot adds capable assistance quickly, but processes data in the Microsoft cloud under shared-responsibility terms.
For financial services workloads bound by SEC, FINRA, SOX, and PCI DSS rules, owning the stack is the safer default; Copilot fits lower-sensitivity productivity.
Self-hosting replaces per-seat licensing with flat cost on compute you own, so broad rollouts don't scale with headcount.
Microsoft Copilot is about $30 per user per month, predictable per user but growing with every license.
For organization-wide deployment, owned infrastructure is often far cheaper at scale.
A model-agnostic platform runs any model — including the vendor's own — and switches as the frontier moves.
Microsoft Copilot is tied to Microsoft 365 and OpenAI models.
If avoiding model lock-in matters, the owned, model-agnostic platform wins.
Self-hosting keeps client financial data and trading records in your environment, supporting SEC, FINRA, SOX, and PCI DSS rules and air-gap requirements a managed cloud assistant cannot meet.
Microsoft Copilot delivers immediate value with deep Microsoft 365 integration and minimal setup.
Flat, usage-based cost on owned compute avoids per-seat fees that scale with headcount.
Owning the platform lets you build and tune production agents for compliance monitoring, risk assessment, client advisory, KYC/AML, and research across any model.
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.