You can generate workflow automation from natural language by describing the trigger, roles, approval rules, status changes, notifications, SLAs, and exception handling. INFORMAT turns those instructions into configurable business workflows.
Step-by-step process
Start by describing the business goal, users, records, process stages, approval rules, dashboards, and AI assistant tasks. Review the generated structure before inviting the wider team.
Example prompt
Write a prompt that includes the system purpose, required tables, user roles, workflow rules, reports, and integrations. Specific business language produces a better first version than a generic request.
Generated tables and fields
Review each generated table for ownership, required fields, status values, relationships, validation rules, and permissions. Good data structure is the foundation for reliable workflows and AI agents.
Recommended workflows
Add workflows for submission, review, approval, exception handling, notifications, reporting, and closure. Start with the most common path, then add edge cases after the first launch.
Common mistakes
Avoid vague prompts, too many fields in the first version, missing status definitions, unclear ownership, and dashboards that do not map to real operating decisions.
Frequently Asked Questions
What should a workflow prompt include?
Include the trigger, roles, decision rules, deadlines, notifications, exceptions, and final record updates.
Can workflows call APIs?
Yes. INFORMAT can expose and connect APIs so workflows can integrate with other systems.
Teams can use this page as a planning checklist, then turn the same requirements into tables, workflows, dashboards, APIs, and AI agents in INFORMAT.