Testing
Check the tool against realistic scenarios, edge cases and user expectations before it handles important work.
Production support
WorkFlint does not stop at the prototype.
AI-assisted prototypes can be powerful, but production systems need proper review, testing, security, documentation, deployment planning, support and governance.
Production question
What needs to be true before this tool can safely handle real work?
What production-readiness covers
The right level depends on the process, data and risk. WorkFlint helps make those decisions explicit.
Data handling
Decide what data is collected, where it goes, how long it is kept and who can access it.
Security review
Review permissions, secrets, integrations, hosting, access controls and staff responsibilities.
Documentation
Create clear notes for users, maintainers, assumptions, limitations and future improvements.
Deployment
Move from an early build to a reliable hosting and release approach.
User training
Help the team understand when to use the tool, when to escalate and how to report issues.
Support model
Define ownership, triage, maintenance windows, backups and change requests.
Governance
Set sensible rules for AI use, review, data safety and production sign-off.
Handover
Transfer knowledge so the business is not dependent on a single person or fragile environment.
Improvement roadmap
Prioritise the next useful changes once the first version is in real use.