COMPARISON
RAG chatbot vs ChatGPT Enterprise for financial services
A RAG chatbot answers from the firm’s approved documents. ChatGPT Enterprise gives employees a general assistant. A financial-services team often needs both decisions made separately.
Quick answer
Choose a RAG chatbot when policy, product, or procedure answers must come from a named corpus with access rules. Choose ChatGPT Enterprise when employees need a general assistant and the firm accepts a per-seat product. Leapfrog AI builds one agreed RAG use case as an AI Pilot from €20,000, after an AI Audit at €3,000 when the corpus is still undecided.
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What is RAG chatbot?
A RAG chatbot retrieves passages from documents the firm has approved and drafts the answer from those passages. For a financial-services team that corpus might be product terms, procedure notes, or internal guidance. Someone still owns which documents are in bounds. Leapfrog AI scopes that boundary in the AI Audit (€3,000, one week) or builds one chatbot in the AI Pilot (from €20,000, six weeks, 90 days of support after launch).
What is ChatGPT Enterprise?
ChatGPT Enterprise is OpenAI’s business assistant: a general chat product with admin controls. Employees decide how to use it. It does not, by itself, bind every answer to your procedure manual. The broader comparison, including how Leapfrog AI describes seat pricing there, is on the ChatGPT Enterprise vs custom AI page.
Side-by-side comparison
| Criteria | RAG chatbot | ChatGPT Enterprise |
|---|---|---|
| What the user gets | An answer drafted from retrieved passages | A general assistant in a chat window |
| Source of the answer | The approved document set | The model, plus whatever the employee pastes in |
| Leapfrog AI price to get there | Audit €3,000, or a pilot from €20,000 for one use case | OpenAI’s per-seat plan, bought from OpenAI |
| Who owns access | Named in the engagement, with GDPR constraints written down | The tenant admin for the assistant |
| Where it is the wrong tool | Ad-hoc questions with no house document | A process that must cite the firm’s own procedure |
When to choose RAG chatbot
- Answers must come from approved internal documents
- Access differs by role or client team
- You want one workflow built, not a seat for every employee
When to choose ChatGPT Enterprise
- Employees need a general drafting assistant
- The firm has already standardised on OpenAI’s enterprise plan
- The work is not tied to a single document corpus
Frequently asked questions
RAG chatbot or ChatGPT Enterprise for a financial-services team?
Use a RAG chatbot when the answer has to come from the firm’s documents. Use ChatGPT Enterprise when people need a general assistant. Leapfrog AI builds the chatbot as an AI Pilot from €20,000, or ranks the use case first in an AI Audit for €3,000.
Does this page claim a financial-services client result?
It describes the two product shapes. It does not name a financial-services client and it does not state a client metric.
Where is GDPR handled?
The glossary term GDPR-compliant AI states the constraints Leapfrog AI already publishes: purpose, lawful basis, and where data is processed. The audit is where those constraints enter the roadmap.
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