Comparison
for your ENISA loan
ChatGPT is an excellent, highly capable assistant. What it is not — and does not try to be — is a product built around one specific programme, with the current requirements, your documents, and a person reviewing before anything is submitted.
An ENISA application is not won by writing well. It is won by showing consistency between what you claim, what your accounts say and what this year's programme requires. That is a product, not a conversation.
| With ChatGPT | With enisa.ai | |
|---|---|---|
| ENISA's real form | An approximate reconstruction, from memory | The 7 portal sections and their 5,000-character limits |
| Current requirements and lines | Whatever was in the training data; may be out of date | A versioned registry, with the date a human verified each rule |
| Your documents | Pasted or uploaded again in every conversation | A permanent per-company knowledge base, reused across applications |
| Financial consistency | Does not check the totals; writes what you ask for | Deterministic checks across balance sheet, projections and investment plan |
| Traceability | Depends on what you pasted into the chat | Every claim cited against the document and page it came from |
| Red flags | Only if you ask about them | Explicit rules, a verdict and a success estimate, always |
| Financial statements | Loose text and tables | ENISA's normalised template, importable and exportable |
| Human review | Not included | Included in the full application, before publication |
| Price | Monthly subscription | €3 analysis · €100 application · 3% success fee |
Every generated sentence comes from a document you uploaded or from an assumption flagged as one. If a figure is missing we ask for it; we do not infer it. No model, however good, can know your equity figure unless you give it — the difference is what the system does when it does not have it.
ENISA's requirements change: amounts, lines, conditions. We keep a versioned rule registry with its source, its literal quote and its verification date, and every report states which version answered it. A general assistant answers with what it learned when it was trained.
Incorporation deed, accounts, bank statements, deck, voice notes: uploaded once and kept in your company's knowledge base. The second application costs a fraction of the first. In a chat, every conversation starts from zero.
That assets equal equity plus liabilities, that projections start where the last financial year ended, that the investment plan totals the same as the financing sources, and that own funds reach the amount requested. That is arithmetic, and code does it — not a model.
In the full application, a reviewer checks the documentary support, the totals, the length limits and the tone before anything leaves. After that we support you through to the loan decision.
ChatGPT is probably the most versatile AI tool available today, and for drafting a first version of almost any text it is excellent. That is precisely its strength: it does everything. Preparing an ENISA application is not a writing problem — it is a fit-with-a-specific-programme problem, a consistency-between-documents problem and an arithmetic problem. There, a generalist tool leaves all the verification to you.
You can draft reasonable text, yes. What you do not get is the real form with its limits, verified current requirements, checked financial totals or a human review. Plenty of people start in ChatGPT and arrive here when they see the financial-statements template ENISA actually asks for.
We use several AI providers and route each task to the most suitable one, with no feature depending on a single vendor. The value is not the model — it is the deterministic workflow, your documents and the checks around them.
A monthly subscription costs more than our €3 analysis and less than the €100 application. The useful comparison is not that one: it is how many hours it takes you to reach something presentable, and what happens if the application is rejected.
Upload it. It is documentation like any other: we use it as a starting point, check the consistency and tell you what is missing before you submit.
The analysis tells you whether you are a candidate, which line fits and what to strengthen — before you invest weeks in the application.