Private knowledge base
Store, organize, and use documents as a searchable knowledge base for AI conversations.
Sovereign AI for private knowledge
April Flow helps users ask questions over selected document Collections and receive answers grounded in the right context — with access to the document extracts that support them.
Selected Collections
User question
What governance requirements apply to this institution?
April Flow thinking
Searching selected Collections, analysing relevant context, preparing grounded answer...
Supporting extracts
Verifiable"The institution shall have a sufficient number of human resources with appropriate professional skills."
Most AI assistants can generate fluent answers, but they do not automatically understand your documents, your data, or the specific context behind each question.
For organizations working with sensitive, technical, legal, operational, or business-critical information, this creates challenges around accuracy, privacy, control, and cost.
April Flow is designed for organizations that need AI to work with their own knowledge while keeping control over where data is stored, searched, and processed.
Store, organize, and use documents as a searchable knowledge base for AI conversations.
Users select one or more Collections so April Flow knows where to search before replying.
Users can access the document extracts that support the AI answer and open the original source.
Documents in April Flow are organized into Collections. A Collection can represent a department, project, client, product, procedure, topic, or any other knowledge area.
Before asking a question, users select one or more Collections. April Flow searches inside those Collections and focuses its answer on the most relevant information.
Highlights
AI summary
Circular CSSF 12/552 defines central administration, internal governance, and risk management expectations for regulated institutions.
Lines 13-24
Open documentThe changes relate to the implementation of a new chapter and clarify governance requirements applicable to institutions.
Lines 201-203
Open documentThe principle of proportionality applies to governance arrangements based on the size and complexity of the institution.
Lines 448-457
Open documentThe institution shall have sufficient human resources with appropriate individual and collective professional skills.
Trusted answers
April Flow does not only provide contextual answers. It also gives users access to the document extracts that helped support the response.
Users can open the original document, review highlighted passages, or browse a list of relevant extracts linked to their source documents.
This makes answers easier to understand, verify, and trust — especially when the source documents are legal, technical, regulated, or business-critical.
See the document passages that contributed to the answer.
Open the original document with the relevant extract highlighted.
Move from AI response to supporting evidence without searching manually.
April Flow is designed to analyse context before producing an answer.
When a user asks a question, the assistant first searches for useful information inside the selected Collections. It then prepares a response aligned with the documents, data, and knowledge available to the organization.
This helps reduce generic answers and improves the quality of AI-assisted work.
April Flow can be deployed as a sovereign AI solution, without relying on external AI services.
Organizations can host the application inside their own infrastructure, private cloud, or data center. Documents, databases, and AI processing remain under their control.
For organizations that also need managed private cloud infrastructure, April Flow can be deployed with April Computers as an optional infrastructure and operations path.
Give users an AI assistant that searches your knowledge before replying — and shows the extracts that support the answer.