# Self-Hosted AI vs ChatGPT Enterprise for Financial Services

> Source: https://ibl.ai/resources/comparisons/self-hosted-ai-vs-chatgpt-enterprise-for-financial-services


*Own the models, data, and code behind your financial services AI on your own infrastructure — vs. a per-seat assistant running in OpenAI's 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.

ChatGPT Enterprise is a managed assistant from OpenAI, billed at about $60 per user per month and running in OpenAI's cloud on OpenAI's GPT models. Its strength is polished general-purpose assistance and strong reasoning with little setup, but it is locked to OpenAI's 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.

## Feature Comparison

### Capabilities

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Out-of-the-Box Productivity | Strong agent capability once deployed; you configure the workflows your teams need. | Polished assistance from day one with polished general-purpose assistance and strong reasoning. |
| 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 OpenAI's GPT models; locked to OpenAI's models. |

### Ownership & Data Control

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Self-Hosting / On-Prem / Air-Gapped | Run on your servers, private cloud, or fully air-gapped with zero external calls. | Runs in OpenAI's 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 OpenAI's GPT 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. |

### Cost & Compliance

| Criteria | Self-Hosted AI | ChatGPT Enterprise |
|----------|--------------------|--------------------|
| Cost at Scale | Flat, usage-based cost on owned compute — no per-seat fees. | about $60 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 OpenAI with enterprise support. |

## Detailed Analysis

### Financial Services Data Sovereignty vs Cloud Convenience

**Self-Hosted AI:** 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.

**ChatGPT Enterprise:** ChatGPT Enterprise adds capable assistance quickly, but processes data in OpenAI's cloud under shared-responsibility terms.

**Verdict:** For financial services workloads bound by SEC, FINRA, SOX, and PCI DSS rules, owning the stack is the safer default; ChatGPT fits lower-sensitivity productivity.

### Per-Seat Cost vs Flat Ownership

**Self-Hosted AI:** Self-hosting replaces per-seat licensing with flat cost on compute you own, so broad rollouts don't scale with headcount.

**ChatGPT Enterprise:** ChatGPT Enterprise is about $60 per user per month, predictable per user but growing with every license.

**Verdict:** For organization-wide deployment, owned infrastructure is often far cheaper at scale.

### Model Freedom vs a Single Vendor

**Self-Hosted AI:** A model-agnostic platform runs any model — including the vendor's own — and switches as the frontier moves.

**ChatGPT Enterprise:** ChatGPT Enterprise is locked to OpenAI's models.

**Verdict:** If avoiding model lock-in matters, the owned, model-agnostic platform wins.

## FAQ

**Q: Is there a self-hosted, SEC/FINRA-ready alternative to ChatGPT Enterprise for financial services?**

Yes. A self-hosted, model-agnostic platform runs on infrastructure you control, keeping client financial data and trading records in your perimeter under SEC, FINRA, SOX, and PCI DSS rules — while delivering AI agents for compliance monitoring, risk assessment, client advisory, KYC/AML, and research without per-seat fees.

**Q: Can it run air-gapped, unlike ChatGPT Enterprise?**

Yes. It can run on-premise or fully air-gapped with local models and zero external calls. ChatGPT Enterprise is a cloud service in OpenAI's cloud and cannot be self-hosted or air-gapped.

**Q: Where does client financial data and trading records go with ChatGPT vs self-hosting?**

ChatGPT Enterprise processes data in OpenAI's cloud under shared-responsibility terms. With a self-hosted platform, client financial data and trading records stays entirely within your environment and every interaction is logged for audit.

**Q: Is self-hosted AI cheaper than ChatGPT Enterprise at scale?**

Usually, for large rollouts. ChatGPT Enterprise is about $60 per user per month, so cost grows with every seat. Self-hosting replaces that with flat, usage-based cost on compute you own.

**Q: Can I still use OpenAI's GPT models?**

Yes. A model-agnostic platform can route to OpenAI's GPT models alongside open and other commercial models — and switch anytime — rather than being locked to OpenAI's models.

**Q: How does ibl.ai fit in?**

ibl.ai is a model-agnostic, self-hosted AI platform you own and run on your own servers — on-premise or air-gapped — for compliance monitoring, risk assessment, client advisory, KYC/AML, and research, while supporting SEC, FINRA, SOX, and PCI DSS rules by design.