Why not build it yourself

Start with the infrastructure already built

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Most of an enterprise system is under the waterline

What the client sees · your team builds it
User interface Business logic
waterline
What every enterprise system needs · Omnitep provides it
Authentication & SSO Access control & roles Audit log Integrations & REST API Workflow engine Reporting Testing & RPA Releases & environments DevOps & monitoring Runtime & deployment
AI coding tools

Fast code, no foundation

AI coding tools can speed up application development. Your team still needs to connect and maintain access controls, testing, releases and monitoring.

Infrastructure is on your team
Cloud-only platforms

Structure without ownership

They provide a development structure but keep applications on their infrastructure, which can limit projects that require on-premises deployment.

No on-premises deployment
Best fit Omnitep

Everything under the waterline

Structure and ownership together. The part under the waterline comes with the platform and runs on your infrastructure or your client’s.

Included · runs anywhere

What predictable means

The scope is defined

Templates and ready components cover standard infrastructure, so AI can focus on the client’s business logic.

One model from prototype to production

Use the same application model from prototype to production, and update it as the project evolves.

Changes are checked

Every change passes review and a test run before deployment, so rework stays under control.

Effort can be estimated

The agent follows the platform’s architecture templates, so a project’s effort can be planned up front.

Build it yourself with AI tools
On the Omnitep platform
If data and interface structures are left to code generation, your team needs to review them later
The data schema and UI schema are generated separately, before any code, and go through human review before the application is built
A prototype built without production data requirements may need rework before deployment
The reviewed data schema is used in both the prototype and the production application
Generated changes need review for consistency with the existing application
Every change goes through syntax and type checks, relationship integrity checks, a diff against the previous version and a test run before deployment
If the prototype and production system use different models, client-specific logic may need rework
Client-specific logic is added to the application model already used for the prototype
Your team still needs to build and maintain authentication, access controls, workflows and deployment
Templates and ready components provide standard infrastructure, so the agent can focus on client-specific business logic
Your team connects tickets, tests, releases and monitoring across separate tools
Tickets, tests, releases, environments and monitoring live in one system together with the application model
Book a call How it works ›