What is a demo account
A demo account is a Debitura account that is marked as non-production. It behaves like a regular account but all data created under it is classified as demo data. This classification keeps demo activity separate from real collection cases across the entire platform.
What is included
Each demo account comes pre-loaded with sample data so users can explore the platform immediately:
Contract documents: Sample contract documents are uploaded and ready to view.
Demo cases: Approximately 20 demo cases with fictitious debtors and a range of statuses (paid, insolvent, paused, and others) are pre-created.
Login credentials: One or more login credentials are provided when the account is set up.
Restrictions
Demo accounts use the same interface as production accounts, but certain features are restricted to keep demo data isolated:
API access blocked: The API returns a validation error if a demo account attempts to create a case programmatically.
Communications suppressed: Automatic emails, partner assignments, and integrations are suppressed. No real outreach occurs.
Reporting exclusion: Reports exclude demo data so company metrics reflect only real production activity.
How to get a demo account
Debitura creates demo accounts on request. Once the account is ready, the login credentials are shared with the prospect or tester. No self-service sign-up is currently available.
Data isolation
Demo data is classified separately from production data. Demo cases appear in account overviews but do not trigger partner assignments, external communications, or inclusion in production reports. This ensures a clear boundary between test scenarios and real collections.
Impact by actor
Client (prospect/tester): Gains access to a fully functional interface pre-loaded with sample data. Can explore case management, view lifecycle stages, and test workflows. Cannot use the API or trigger real communications.
Debitura: Provisions and manages demo accounts. Demo data is excluded from production reporting and partner assignments, ensuring operational metrics remain accurate.