Abstract: Automating follow-up actions from conversations may be provided by analyzing a transcript of a conversation, by a Natural Language Processing (NLP) system, to generate a summary of the conversation in a human-readable format, the summary including action items associated with an identified entity; retrieving, by the NLP system from a supplemental data source, supplemental data associated with the action item that are lacking in the transcript; generating, by the NLP system, a machine-readable message based on the action item and the supplemental data; and transmitting the machine-readable message to a system associated with the identified entity.

Abstract: A user interface (UI) linking analyzed segments of transcripts with extracted key points may be provided by capturing audio of a conversation including first and second pluralities of utterances respectively spoken by first and second parties; transmitting the audio to a Natural Language Processing (NLP) system; receiving a transcript of the conversation and analysis outputs from the transcript including a key point and hyperlink to a most-semantically-relevant segment of a plurality of segments included in the transcript for the key point according to a semantic context for the key point within the conversation; displaying, in a UI, the transcript and a selectable representation of the key point; and in response to receiving a selection of the selectable representation via the UI, adjusting display of the transcript in the UI to highlight the most-semantically-relevant segment.