Summary:

Request to enhance the accuracy and readability of AI-generated call notes in RingCX, particularly transcription accuracy and structured summary formatting.

Description:

Currently, AI-generated call notes occasionally contain transcription errors, particularly when interpreting specific words or pronunciations (e.g., "Vetsure" being transcribed as "Vegetable"). This requires users to manually review and correct the notes.

Additionally, the generated summaries are often presented as general paragraphs rather than concise, structured bullet points, making them difficult to review and transfer into other systems.

Expected Behavior:

Improve AI transcription accuracy, particularly for company names, industry-specific terminology, and uncommon words.

Introduce customizable vocabulary or terminology recognition to reduce transcription errors.

Provide an option to generate concise, structured summaries using bullet points instead of paragraphs.

Allow users to configure their preferred AI summary format for easier reading and copying into external systems.

Business Impact:

These improvements would reduce manual corrections, improve productivity, and ensure more accurate and consistent call documentation for agents and other colleagues.