AI-assisted development

AI that builds your app — and fixes it

Tell Enta what you need and its AI builds it: data, queries, pages and workflows. Something not right? Ask, and the same AI finds the cause and fixes it. AI-assisted development at the highest level — for business users and developers alike.

  • Builds the whole app — data, queries, pages, workflows, security
  • Checks every change before it is saved, and corrects its own mistakes
  • Debugs with you — reads the query, runs it on your data, fixes the cause
  • Nothing is a black box — open anything the AI built in the visual designers
See the Builder Ask the Enta assistant

AI with complete, structured knowledge

Enta's AI doesn't guess. It knows your entire application definition before generating a single line.

  • Knows every table, column, relationship, and constraint

    Database schema can be part of the context when you provide it -- not a prerequisite.

  • Knows every Business Object, property, and validation rule

    Domain semantics, computed fields, and constraints are all explicit.

  • Knows every UI layout, data binding, and event subscription

    Your forms, grids, and dashboards are structured definitions, not opaque markup.

  • Knows every workflow step, trigger, and approval rule

    Process logic, branching conditions, and escalation paths are all machine-readable.

  • Knows the security matrix -- who can see what, who can do what

    Roles, permissions, data filters, and row-level access are fully declared.

This isn't AI generating code in a vacuum. It's AI with complete context.

Debugging

When something is off, the AI finds out why

Debugging is part of building. Enta's AI checks every change before it is saved and reads any error as a clear, structured message it can act on. Ask about a wrong number or an empty list and it inspects the query, runs it against your data, and explains the cause in plain words — then fixes it, or asks you first when the fix is a business decision.

  • Validation before save — broken changes never reach your app
  • Query preview and test runs against your real data
  • A visual debugger with every request and event, when you want to look yourself
Chat
The low-stock list is empty, but I know we are almost out of label rolls.
The list shows items where On hand is below Reorder level. 38 items, label rolls included, have no reorder level set, so they never qualify. Shall I use a default of 10 for items without one?
For technical teams

The AI uses the same tools your team does

Every operation a person performs in Enta's visual editors, the AI performs through the same tested contract. No screen-scraping, no private back doors — which is why what it builds is reliable, and why your developers can pick up exactly where it left off.

Every operation is a toolSchema, queries, pages, workflows, security and imports.
Every tool is testedBehavior is guaranteed before the AI gets to use it.
Same rules for people and AISame validation, same security, same audit trail.
Round-trips cleanlyWhat the AI builds opens in the visual designer; what you edit, the AI reads next.
Schema & Domain Understanding

From raw tables to typed domain models

Enta's AI analyzes your existing database and suggests Business Objects, inheritance hierarchies, and relationships. It detects patterns that take humans hours to catalog: header/detail pairs, lookup tables, junction tables, soft-delete flags.

  • Automatic type inference and label generation
  • Relationship and FK detection from naming conventions
  • Pattern recognition across hundreds of tables
Before
-- Raw database column
CUST_HDR.CRTD_DT  DATETIME  NULL
After
// Generated Business Object property
Customer.CreatedDate
  Type:     DateTime
  Label:    "Created Date"
  Format:   "dd MMM yyyy"
  ReadOnly: true
Natural Language Prompt

"Show me all overdue invoices grouped by customer with total outstanding"

Generated SQL
SELECT
    c.Name                AS Customer,
    COUNT(i.Id)           AS InvoiceCount,
    SUM(i.AmountDue)      AS TotalOutstanding
FROM Invoice i
JOIN Customer c ON c.Id = i.CustomerId
WHERE i.DueDate < GETDATE()
  AND i.Status <> 'Paid'
GROUP BY c.Name
ORDER BY TotalOutstanding DESC
Expression Generation

Natural language to visual SQL

Describe what you need in plain English. The AI generates a fully structured expression -- not raw text, but a visual query in the expression builder that you can refine, validate, and execute.

  • Query generation with JOINs, CTEs, and window functions
  • Query optimization suggestions
  • Validation rule generation from business requirements
UI Generation

Schema-aware layout generation

The AI reads your Business Object definitions and picks the right control for each property. Foreign keys become dropdowns. DateTime fields become date pickers. Boolean fields become checkboxes. No manual wiring required.

  • Automatic control selection from property types
  • Dashboard generation from a text description
  • Responsive adaptation based on field importance
Schema Input
Customer
  Name           String
  Email          String    [Email]
  Country        FK       -> Country.Id
  DateOfBirth    DateTime
  IsActive       Boolean
Generated Layout
Text input
Email input with validation
Dropdown (FK lookup)
Date picker
Checkbox / Toggle
Description

"When an order is placed, notify the warehouse, wait for confirmation, generate invoice"

Generated Workflow
Trigger: Order Created
Notify Warehouse Team
Wait for Confirmation
Generate Invoice
+ Error handling, retry logic, escalation (auto-generated)
Workflow Generation

Process from description

Describe a business process and the AI generates a complete workflow definition -- triggers, steps, approval chains, error handling, and escalation paths. Built on Enta's 30+ step type library, not generic code generation.

  • Approval chain scaffolding from org structure
  • Automatic error handling and retry logic
  • Escalation rules based on timeout and conditions
Test Generation

Test generation from your full app definition

Because Enta knows your entire application -- schema, rules, UI, workflows, and security -- the AI can generate end-to-end tests that cover real business scenarios, not just happy paths.

  • End-to-end test generation from full app definition
  • Edge case detection from declarative rules and constraints
  • Security testing across all roles and access paths
App Definition Input
// Known to the AI:
BusinessObject: Invoice
Rule: Amount > 0
Rule: DueDate > CreatedDate
Security: SalesRep sees own invoices only
Workflow: Approval required if Amount > 10,000
Generated Tests
test_create_invoice_valid
test_create_invoice_zero_amount     // edge
test_create_invoice_past_due_date  // edge
test_salesrep_sees_own_only       // security
test_admin_sees_all              // security
test_approval_required_over_10k    // workflow
test_no_approval_under_10k         // workflow
User Request
“When an order over $5,000 comes in, notify the regional manager, wait for their approval, then send the confirmation to the customer.”
Generated Workflow
Trigger: Order created where Amount > 5,000
Step: Resolve regional manager from customer region
Step: Request approval from manager
Step: On approval, send confirmation email
Status: Pending review Submit for approval →
User-Defined Workflows

Your users automate their own processes

With permission, end users describe a business process in plain language. Enta produces a workflow definition they can review and refine, then submits it through your standard approval and deployment pipeline. Once deployed, it runs as part of the application.

The same engine that runs admin-authored workflows runs user-authored ones. No second-tier runtime. No sandbox. Same triggers, same step types, same security.

  • End users describe processes in plain language
  • Generated workflows go through the standard approval and deployment pipeline
  • Permissions control who can author and who can approve
  • True process automation — written by the people who run the process

See AI build an app

Describe the app your team needs and watch the Builder create it, live.

See the Builder