Enterprise AI is mostly not about chatbots. In practice it means teams describing an app they need, getting a working version in an afternoon, and having IT able to sign off on it: the app reads production data under the right permissions, logs what people do and runs where the security team wants it to run.
That last part is where most AI app generators fall short. A prototype that connects to a copy of the data and has no access control is not something a large company can put in front of 400 employees. Below are five AI app builders that were designed with that requirement in mind, and the point where each one stops.
What an enterprise AI app builder needs
- Production data, in place. Connections to the databases and systems the company already runs, without copying data into the builder.
- Permissions below the app level. Roles that decide which rows, columns and actions each user can reach.
- Identity and audit. SSO with the company's identity provider and a log of who changed what.
- Deployment options. Cloud for most teams, self-hosted or on-premise for regulated ones.
- Something IT can maintain. Version control, environments and a way to change the app after the person who prompted it has moved on.
The five builders at a glance
| Builder | Best for | Pricing model |
|---|---|---|
| Jet Admin | AI-generated business apps on existing data, for mixed technical and non-technical teams | Free plan; paid by AI credits, unlimited users |
| Retool | Developer-built internal tools and agents | Per builder and per user |
| Microsoft Power Apps | Companies standardized on Microsoft 365 and Dataverse | Per user or per app |
| Superblocks | Engineering-led teams that want AI-generated apps under central governance | Custom, enterprise-focused |
| OutSystems | Large application portfolios built by professional developers | Custom |
1. Jet Admin
Jet Admin generates business apps from a prompt on top of data the company already has: Postgres, MySQL, SQL Server, Snowflake, Salesforce, a REST API or any of 200+ integrations. You describe the app, such as "an order review tool where regional managers see only their region and can approve refunds under $1,000", and Jet builds the tables, forms, dashboards and workflows. Data is queried in place, so there is no second copy to secure.
Apps can be edited visually, extended with custom React, Vue or Angular components and server-side functions, or synced two-way with GitHub so engineers work on them in their own IDE. Users are unlimited on every plan. Granular permissions, SSO and audit logs are on the Business plan and above; on-premise, air-gapped deployment and SCIM provisioning are on the Enterprise plan.
Where it stops: it builds business apps, portals and agents on company data. It is not a platform for consumer mobile apps or public websites.
2. Retool
Retool is the established choice for internal tools built by developers. Its AI features generate apps and queries, and Retool Agents adds agent building on the same platform, with a large component library and deep database support.
Where it stops: pricing is per builder and per user, which grows quickly as adoption spreads, and self-hosting sits on the enterprise tier. Non-developers usually need an engineer to get past the first version.
3. Microsoft Power Apps
Power Apps, with Copilot, lets Microsoft 365 companies describe an app and build it on Dataverse, SharePoint or connected sources, governed through the Power Platform admin center.
Where it stops: it is strongest inside the Microsoft stack. Licensing is complex, and apps on non-Microsoft databases often need premium connectors.
4. Superblocks
Superblocks positions itself around governed AI app generation for enterprises, with central control over integrations, permissions and audit, aimed at engineering and IT teams.
Where it stops: it is built for engineering-led organizations, and pricing is sales-led rather than published.
5. OutSystems
OutSystems is a mature low-code platform for large application portfolios, with AI-assisted development and strong lifecycle tooling for professional developers.
Where it stops: it is a heavyweight platform with a matching price and learning curve, better suited to building dozens of core applications than to a team shipping one tool this week.
Which to use
- Business teams need apps on existing company data, with IT-grade permissions and no per-seat bill: Jet Admin.
- Developers build the internal tools and want the deepest component library: Retool.
- The company runs on Microsoft 365 and Dataverse: Power Apps.
- Engineering wants central governance over AI-generated apps: Superblocks.
- You are rebuilding a large portfolio of core applications: OutSystems.
For the wider category, including assistants and search tools, see our list of enterprise AI tools, and for the governance layer, AI governance solutions.
Frequently asked questions
What is an enterprise AI app builder?
It is a platform that generates working applications from a description and runs them with the controls a large company needs: SSO, role-based permissions, audit logs and approved deployment options.
How is it different from Lovable or Bolt?
Those tools generate prototype code quickly. Enterprise builders connect to production data under permissions and keep the app maintainable, which is the part IT has to sign off on.
Can enterprise AI apps run on-premise?
Some can. Jet Admin supports on-premise and air-gapped deployment on its Enterprise plan; Retool and OutSystems also offer self-managed options on enterprise tiers.
How are these tools priced?
Most charge per user or per builder. Jet Admin charges by AI credits with unlimited users, which matters when an app is used by hundreds of employees.
Build the app IT can sign off on
Start with Jet Admin for free and generate your first app on the data you already have.