Maintaining accurate, up-to-date documentation remains a challenge in enterprise environments — especially as applications evolve and team members change.

While tools such as OutDoc provide valuable metadata-based documentation (e.g., structural elements, entities, modules, dependencies), there is an opportunity to extend documentation capabilities further using AI within the platform itself.

I would like to propose native AI-generated documentation that goes beyond structural metadata and instead leverages the platform’s understanding of:

• Application logic flows

• Business rules and decision paths

• Integration intent and usage patterns

• Architectural layering

• Cross-module interactions

Rather than simply listing components, the AI could generate contextual explanations such as:

• What the application does functionally

• How key processes are orchestrated

• Which integrations are critical and why

• How data flows across modules

• Where architectural boundaries exist

This could live within the application overview, Service Studio, or a dedicated Documentation view — refreshable on demand and editable as needed.

Importantly, this would add value not only for future platform directions, but also for the large base of existing OutSystems 11 (O11) applications running in production today. Documentation drift and knowledge loss are challenges that exist now, and having AI-assisted documentation available in O11 would provide immediate impact for enterprise teams.

Many teams already experiment with exporting artifacts and using external AI tools to generate higher-level documentation. I recently explored this approach externally as a proof of concept: 👉 https://www.acceleratedfocus.com/post/bringing-clarity-to-undocumented-outsystems-code-with-ai

Embedding this capability directly into the platform would:

• Improve developer onboarding

• Reduce knowledge loss

• Support governance and compliance

• Accelerate modernization initiatives

• Strengthen long-term maintainability

This would not replace structured metadata documentation tools like OutDoc, but would complement them with AI-driven contextual understanding.