Enterprise AI app builder
Turn a business requirement into a working application
Generate data models, pages, workflows, dashboards, APIs, permissions, and AI agents from natural language, then refine every layer with visual tools and code.
One promptto a complete app foundation
Full stackdata, UI, logic, and agents
Your cloudor private infrastructure
Business requirement
Build a procurement application with suppliers, purchase requests, approval limits, purchase orders, receiving, invoice matching, budgets, dashboards, and audit history.
Generated application
Ready to refineProcurement operations
One generation flow
Build the system, not just the screen
INFORMAT creates the connected layers an enterprise application needs, while keeping every generated element editable and governed.
Data and relationships
Generate tables, fields, validation, relationships, reference data, and import structures from the business requirement.
Pages and dashboards
Create role-aware forms, lists, detail pages, portals, mobile experiences, KPIs, and operational dashboards.
Logic and integration
Generate workflows, scripts, APIs, scheduled jobs, webhooks, and connectors for existing systems.
Governed AI agents
Add agents that understand application data, call approved actions, request human decisions, and keep an audit trail.
From idea to operation
A faster path to a production-ready business app
Start with the language your team already uses. Validate the generated design, refine the details, and publish within the controls your organization requires.
Describe the business outcome
Explain users, records, approvals, exceptions, reports, and integrations in plain language or attach an existing requirement.
Review the generated architecture
Inspect data models, screens, workflows, permissions, APIs, dashboards, and agent actions before publishing.
Refine visually or with code
Adjust generated components using prompts, configuration, JavaScript, reusable components, and integration APIs.
Deploy with governance
Release through controlled environments with access policies, audit history, version management, and private deployment options.
Start from a real system
Generate applications for complex operations
Use complete blueprints to move from a blank workspace to a validated proof of concept faster.
Sales
AI CRM Builder
Generate accounts, contacts, opportunities, activities, forecasts, dashboards, and sales workflows.
Explore blueprint →OperationsAI ERP Builder
Connect finance, purchasing, inventory, sales, projects, assets, and approvals in one governed system.
Explore blueprint →ManufacturingAI MES Builder
Model production orders, routes, machines, material lots, quality, downtime, traceability, and OEE.
Explore blueprint →Enterprise control
AI speed without giving up architecture or governance
Keep generated applications maintainable, observable, and deployable within the boundaries your security and operations teams define.
- Role, row, and field-level permissions
- Audit history and application versioning
- Development, test, and production environments
- REST APIs, webhooks, databases, and custom connectors
- Cloud, private cloud, and on-premises deployment
- Reusable components, scripts, skills, and MCP tools
Common questions
AI app builder FAQ
What can the INFORMAT AI App Builder generate?
It can generate data models, application pages, dashboards, workflows, permissions, APIs, scripts, portals, and governed AI agents from a business requirement.
Can developers edit generated applications?
Yes. Teams can refine generated assets with visual configuration, prompts, JavaScript, custom components, APIs, and reusable platform capabilities.
Is it suitable for enterprise applications?
INFORMAT is designed for data-intensive and process-heavy systems such as ERP, MES, CRM, procurement, inventory, service operations, and industry-specific applications.
Can applications run in a private environment?
Enterprise deployment options include private cloud and on-premises environments. Confirm the architecture, support, and security requirements during technical evaluation.
Start with your requirement
Build the first version of your business app with AI
Describe the system your team needs and turn it into an editable application foundation.