Most talk about AI in business software is vague: a chat box added to a product, with little said about what it does or what it can see. An AI business application builder should be specific about both. This article separates the two phases where AI is genuinely useful, building the application and using it, and sets out the human review, access control and data handling that should come with each.
Two phases, two different jobs
AI helps in two quite different situations, and they have different risks.
- While building, AI works with the person designing the application. It proposes structure, and a human accepts or rejects it before anything changes.
- While using, AI works with the people doing the daily work. It answers questions about the data, summarises records and guides them through the next step, within what their role allows.
Keeping the two separate makes it easier to decide what to trust, what to check and who is responsible. On Vibe, AI is included in every plan in both phases and is not metered, so teams do not have to ration it.
AI while building an application
Building a business application involves a lot of small design decisions: which things deserve their own records, how they relate, what each screen should show, which rules apply when. AI is good at proposing a sensible first answer to each of these, which a person who understands the process can then correct.
In Vibe, AI helps while building by:
- Proposing the schema from a description, a spreadsheet or an existing database, including entities, fields and relationships.
- Proposing screens for lists, detail pages and forms suited to each role.
- Proposing rules such as approvals, required fields and status changes.
- Explaining changes in plain language before you accept them, so you know what will happen.
Say a finance operations lead types: "Invoices over the approval limit should go to the budget holder, and anything disputed should be flagged to the supplier manager." The useful response is not an instant change, but a proposal: a new rule, the roles it affects and the fields it relies on, with an explanation. The lead reviews it, adjusts the limit, and accepts. The AI while building FAQ has more detail.
AI proposals are a starting point, not a decision, so human review stays in the loop. The controls that keep building safe are the ones that apply to any change:
- Every change is versioned and reversible, whether a person or AI proposed it. If a rule behaves unexpectedly, roll it back.
- Staged environments let you test a change with real users before it reaches everyone, with one-step rollback afterwards.
- Explanations come first. Read what the change does before accepting it, particularly for permissions and rules involving money or personal data.
A useful habit is to ask the AI to explain an existing part of the application, not just to change it: "Who can edit a closed claim, and why?" It is a quick way to check that the application behaves as you think it does.
AI while using an application
Once an application is live, the people using it every day have different needs. They want answers, not schema changes. In Vibe, AI helps while using the application by:
- Answering questions of the data in plain language, such as "Which supplier onboarding requests have been waiting more than a week?"
- Summarising a long record, a case history or a set of comments, so someone picking up the work can get up to speed quickly.
- Guiding the next workflow step, for example explaining what is needed before a request can move to approval.
This matters most for occasional users, such as a manager who approves requests a few times a month and does not remember the process in detail. Instead of asking a colleague, they ask the application. See the AI while using an application FAQ.
Access control applies to AI too
The most important question to ask of AI inside a business application is simple: what can it see? The answer should be "exactly what the person asking can see, and no more".
In practice, that means:
- Role-based access on every entity and action should govern AI answers as well as screens. If a user cannot open salary records, asking the AI about salaries should not reveal them.
- Single sign-on over SAML or OIDC means every question comes from a real, current identity.
- Audit logging records data changes and administrative actions, so there is a trail whichever way a change was made.
When you evaluate any AI business application builder, ask the vendor to show you a user with restricted access asking about data they should not see. The answer tells you a great deal.
Data handling questions to ask
Security and data protection teams will want clear answers about AI. Useful questions include:
- Is data encrypted in transit and at rest, including when AI features are used?
- Are AI answers limited by the same permissions as the rest of the application?
- Are changes proposed by AI subject to the same versioning and audit trail as manual ones?
- Can we export our data and the application if we leave?
For Vibe's position on the platform controls, see is my data secure? and can it pass our security review?. Data and generated code are exportable on any plan.
Where AI fits in the bigger picture
AI does not replace the person who understands the process. It shortens the distance between that person's knowledge and a working application, and it makes the finished application easier for everyone else to use. That is why it pairs naturally with business users owning their own tools, as described in how business analysts can build their own apps, and why it helps make a working business app in hours realistic.
See it on your own process
The clearest way to judge AI in a business application is to use it on a process you know well. The product page shows how Vibe uses AI while building and using, and the pricing page explains how plans work. Ahead of general availability, the design partner programme is open and free during the programme, with direct access to the engineers. Tell us about the workflow.