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Attia Saleh
Business Problem:
Currently, Respond AI Agents can only process a limited range of file types — mainly text (and images coming soon). However, many customers receive valuable information through audio messages, video recordings, and PDF documents. The inability to parse and respond to these content format restricts the AI Agent’s usefulness and limits automation potential.
Use Case Pain Points:
  • Audio files
    : Customer send voice notes or support queries via platforms like WhatsApp or Messenger. These aren’t transcribed or actionable by the AI Agent.
  • Video recordings
    : Video walkthrough, customer complaints, or screen recordings are ignored by the agent due to lack of video understanding/transcription.
  • PDF documents
    : Information-rich PDFs like invoices, receipts, contracts, or brochures cannot be read of referenced by the AI Agent.
Desired Outcome:
  • Audio files
    : Transcribe and analyze content (e.g. .mp3, .wav)
  • Video files
    : Extract spoken content via transcription and identify key visual and contextual cues (e.g. .mp4, .mov)
  • PDF files
    : Pull out both structured and unstructured text so it can be used in chats or automated workflows.