The Process

Six Steps. Prompt to Application.

Start from a business prompt, configure with visual tools, and ship a production application.

1 Prompt

Start from a prompt, or add your existing database

Enta can create a new app model from a plain-language prompt. If you already have SQL Server or PostgreSQL, Enta can also read schema metadata: tables, columns, data types, constraints, indexes, and foreign keys. Nothing is modified.

  • Prompt-first app generation — no database required
  • Optional tables, views, stored procedures, and foreign-key relationships
  • Works with existing production databases when migration context helps
Connection Setup
-- Optional: add database metadata for migration context
Server=db.company.com;
Database=ProductionDB;
Trusted_Connection=true;

-- Enta reads schema metadata without changing data...

Discovered tables:
  ┣━ dbo.Customers (14 columns, 3 FK)
  ┣━ dbo.Orders (22 columns, 5 FK)
  ┣━ dbo.Products (18 columns, 2 FK)
  ┣━ dbo.Invoices (11 columns, 4 FK)
  ┗━ dbo.Employees (9 columns, 1 FK)

Optional metadata import complete.
5 tables · 74 columns · 15 relationships
2 Configure

Build the application layer visually

Four visual tools turn your database into a working application. No code generation, no scaffolding to maintain — the configuration is the application.

Expression Builder

Visual SQL query builder. Drag columns, define joins, add filters, aggregates, and window functions — all without writing SQL.

UI Designer

Drag-and-drop form and dashboard builder. 18 controls, data binding, event subscriptions, and responsive layouts.

Workflow Engine

Visual business process automation. 30+ step types, approvals, scheduled triggers, webhooks, and long-running orchestration.

Security

Deny-wins RBAC with data filters. Property-level, component-level, and row-level security — configured visually, enforced everywhere.

Raw Tables
tbl_cust
  cust_id  int
  cust_nm  varchar
  cust_eml varchar
  crt_dt   datetime

tbl_ord
  ord_id   int
  cust_id  int
  ord_dt   datetime
  tot_amt  decimal
  stat    tinyint
Business Objects
Customer
Id, Name, Email,
CreatedDate
+ Orders (1:N)
Order
Id, OrderDate,
TotalAmount, Status
+ Customer (N:1)
+ Edit Form (auto)
+ List View (auto)
Migration Assistant
3 Migration Assistant

Optional migration acceleration — automatically

When you already have a system, the Migration Assistant reads schema metadata and builds the application layer for you. It is a one-time setup accelerator, not a prerequisite.

Optional schema introspection — Reads tables, columns, constraints, and indexes when provided
Relationship inference — Detects foreign keys and builds navigable links
Business Object generation — Creates clean, named objects from raw tables
Expressions — Pre-builds common queries from detected relationships
UI scaffolding — Generates edit forms and list views for each object
Automation — Scaffolds workflows on record events, schedules, and approvals
Learn more about Migration Assistant
4 Import

Ongoing data ingestion

CSV files, API endpoints, other databases. Import brings external data into your application on a schedule — repeatable, validated, and fully audited.

CSV / Excel
REST APIs
Databases
Import vs. Migration Assistant

Migration Assistant creates the application structure (business objects, UI, expressions). Import moves data — on a schedule, from external sources, into your running application.

Import Pipeline
Source
CSV, API endpoint, or database connection
Map & Transform
Column mapping, type conversion, validation rules
Validate
Data quality checks, duplicate detection
Load
Insert or update with full audit trail
Runs on schedule · Every import logged · Errors reported
AI Test Generation
// Enta knows the complete definition:
// objects, UI, workflows, expressions, security

Generating test scenarios...

Order form: required field validation
Order form: FK constraint (Customer)
Approval workflow: happy path
Approval workflow: rejection branch
Security: role "Viewer" cannot edit
Expression: monthly revenue aggregate
Import: CSV with missing columns

7 scenarios · all generated from metadata
5 Test

AI-assisted test generation

Because Enta owns the complete definition — objects, UI, workflows, expressions, and security rules — AI can generate comprehensive test scenarios automatically.

Every form, every workflow branch, every security boundary becomes a testable scenario without manual test authoring.

100%
Metadata coverage
Zero
Manual test scripts
6 Run

Production application with full security

Your application is live. Audit trails capture every action. Workflows run on schedule. Security policies enforce access at every layer. Monitoring keeps you informed.

Audit Trails

Every create, update, and delete is logged with user, timestamp, and before/after values.

Workflow Automation

Background jobs, approval chains, and event-driven triggers run without intervention.

Role-Based Access

Deny-wins RBAC enforced at property, component, and row level. No gaps.

Monitoring

Health checks, performance metrics, error reporting, and import status — all in one dashboard.

Start building today

Six steps from prompt to running enterprise application. Add existing database metadata only when it helps.