Built for headless operation from day one
Every configuration option in Enta is exposed as a tested tool. Every operation a human performs through the visual editors, an AI agent performs through the same contract. No screen-scraping. No private back doors. The same path, validated end-to-end.
- Every operation is a tool — schema, expressions, UI, workflows, security, imports
- Every tool has tests — behavior is guaranteed before AI gets to use it
- Same validation, same security, same audit trail — human or agent
- Round-trips cleanly — what AI produces, a human can open and edit in the visual designer
AI with complete, structured knowledge
Enta's AI doesn't guess. It knows your entire application definition before generating a single line.
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Knows every table, column, relationship, and constraint
Database schema can be part of the context when you provide it -- not a prerequisite.
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Knows every Business Object, property, and validation rule
Domain semantics, computed fields, and constraints are all explicit.
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Knows every UI layout, data binding, and event subscription
Your forms, grids, and dashboards are structured definitions, not opaque markup.
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Knows every workflow step, trigger, and approval rule
Process logic, branching conditions, and escalation paths are all machine-readable.
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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.
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
CUST_HDR.CRTD_DT DATETIME NULL
Customer.CreatedDate
Type: DateTime
Label: "Created Date"
Format: "dd MMM yyyy"
ReadOnly: true
"Show me all overdue invoices grouped by customer with total outstanding"
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
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
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
Name String
Email String [Email]
Country FK -> Country.Id
DateOfBirth DateTime
IsActive Boolean
"When an order is placed, notify the warehouse, wait for confirmation, generate invoice"
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 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
BusinessObject: Invoice
Rule: Amount > 0
Rule: DueDate > CreatedDate
Security: SalesRep sees own invoices only
Workflow: Approval required if Amount > 10,000
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
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 in action
Start with an agent-readable demo: tested public contract, validated output, and a live app preview.
See Demo Options