639 results found

1. AI Hold Music

   Requesting to have a hold music for AI receptionist when checking information on the call for the caller instead of dead air. Not the hold music when AI is transferring a call to a user or groups.

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2. Notification after missed call to AI Receptionist when call forwarding is enabled to it

   AI Receptionist notifications after failed interactions or unsuccessful transfers

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3. coaching insights for super admins

   Wants a coaching insights for super admins to show on the ringsense portal

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4. AI Receptionist to pick up call After phone rings and no answer

   An option so that RingSence AI doesn't pick up automatically but only after several phone rings and no answer

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5. AI feature that'll automatically send out transcribed notes via email

   The customer wants us to add an AI feature that'll automatically send out transcribed notes via email

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6. Template Tab with Pre-Configured Questionnaire

   Introduce a new "Template" tab within the RingSense conversation overview screen alongside the existing tabs (Transcript, Trackers, AI Coach, Next Steps, Q&As).
   This Template tab would allow admins to pre-configure question templates (such as a pre-screen questionnaire or sales scripts) and have RingSense AI automatically extract answers from the conversation based on the transcript/audio data.

   Link: https://docs.google.com/document/d/1Y3rHbD1GPO_qq98R4Q10bqypIzUwXWFzG5XImaUHQQg/edit?tab=t.0

   How This Differs From Existing Trackers, Q&As, and Other RingSense Features
   While RingSense already provides powerful tools like Trackers and Q&As, the Template Tab introduces a fundamentally different workflow and user experience:
   Trackers are keyword or phrase-based detections that flag when specific terms appear in conversations. They show where something was mentioned but don't systematically organize responses into structured answers.

   Q&As currently allow AI to infer general questions and answers from a conversation, but these are generated post-call based on what the AI finds important — they are not based on a pre-defined, user-driven questionnaire.

   Scorecards provide a useful way to see whether specific questions have been asked during the conversation, but they do not capture or display the actual answers to those questions. Instead, scorecards track the presence of certain topics or questions, but they lack the ability to extract concise, one-line responses to each question.

   How it Works:
   Admin Configuration:
   In the Admin Portal, admins can create and manage "Templates" predefined sets of questions relevant to a specific workflow (e.g., pre-screen interviews, discovery calls, qualification calls).

   During/After Conversation Analysis:
   Once the conversation is processed, the AI will:

   Analyse the conversation (audio + transcript).

   Match user-configured questions against the conversation.

   Extract concise, one-line answers if information is available.

   Leave the answer field blank if a question was not answered during the conversation.

   User Interface:
   A new "Template" tab will be added to the overview screen where users can:

   Select a relevant template (if multiple exist).

   See each question with the extracted answer.

   Download/export the completed Q&A if needed.

   Example Use Case:
   Recruitment companies conducting pre-screen interviews:

   Create a template with standard questions like:

   "What is your current salary?"

   "What is your notice period?"

   "Describe your previous experience."

   "Are you open to relocation?"

   After an interview, the recruiter simply checks the Template tab to view the summarized answers without manually scanning the transcript.

   If a candidate didn't mention salary, that field remains blank.

   Why the Template Tab Is Different and Valuable:
   Pre-Configured Workflow: Admins can upload a consistent set of questions before the conversation, aligning the AI’s attention to exactly what matters for their specific business process (e.g., recruitment, discovery calls, sales qualification).

   Structured Data Extraction: Instead of unstructured highlights, users get a clean, one-question-one-line-answer format, making it much easier to review, export, and take action on the gathered information.

   Gaps Are Immediately Visible: If a question is not answered during a call, the corresponding field remains blank, providing clear visibility into missing information without reading the full transcript.

   Saves Manual Work: Users don't have to dig through the transcript or rely on ad hoc AI prompts; the important information is automatically captured in an organized format.

   Consistency Across Conversations: Ensures critical questions are always tracked and answered consistently, regardless of which rep or interviewer is running the conversation.

   Why This Is Valuable:
   Speeds up information retrieval:
   Users no longer need to manually read transcripts or ask AI externally (e.g., copy/pasting into ChatGPT) to find answers.

   Consistency in data collection:
   Ensures important business-critical questions are tracked across all conversations.

   Saves time and reduces error:
   Reduces human error in data gathering from calls and accelerates internal workflows (recruitment, sales, support).

   Enhances AI usage within RingSense platform itself:
   Keeps users inside the platform rather than needing to export transcripts to third-party tools for Q&A extraction.

   Introduce a new "Template" tab within the RingSense conversation overview screen alongside the existing tabs (Transcript, Trackers, AI Coach, Next Steps, Q&As).
   This Template tab would allow admins to pre-configure question templates (such as a pre-screen questionnaire or sales scripts) and have RingSense AI automatically extract answers from the conversation based on the transcript/audio data.

   Link: https://docs.google.com/document/d/1Y3rHbD1GPO_qq98R4Q10bqypIzUwXWFzG5XImaUHQQg/edit?tab=t.0

   How This Differs From Existing Trackers, Q&As, and Other RingSense Features
   While RingSense already provides powerful tools like Trackers and Q&As, the Template Tab introduces a fundamentally different workflow and user experience:
   Trackers are keyword or phrase-based detections that flag when specific terms… more

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7. Allow AIR to be an option for an incoming call queue group.

   Allow AIR to be an option for an incoming call queue group. When an incoming call sequeces past live operators, AIR will answer.

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8. Enhanced AI Receptionist Customization and FAQ Compliance

   Currently, the AI Receptionist uses an FAQ to provide responses, but not all answers set in the FAQ are followed by the AI Receptionist. The responses sometimes differ, and there is no option to update or modify the verbiage (wording) used by the AI.

   Feature Request:

   Ensure FAQ Compliance – Provide an option to make the AI Receptionist follow the exact answers set in the FAQ, ensuring consistency between the FAQ and the AI's responses.
   Verbiage Customization – Allow users to update the verbiage or exact phrasing that the AI Receptionist provides in its responses. This would allow businesses to align the AI responses more closely with their specific needs, tone, and communication style.

   Why this feature is needed:

   Consistency: Businesses want the AI to deliver responses exactly as defined in the FAQ to ensure accuracy and consistency.

   Personalization: The ability to customize the wording would help businesses reflect their unique communication preferences and improve the customer experience.

   Flexibility: Allowing this feature would enhance the flexibility of the AI Receptionist, making it more adaptable to different business requirements.

   Impact: This feature would improve the reliability and customization of the AI Receptionist, ensuring that responses are more consistent and personalized to meet specific business needs.

   Currently, the AI Receptionist uses an FAQ to provide responses, but not all answers set in the FAQ are followed by the AI Receptionist. The responses sometimes differ, and there is no option to update or modify the verbiage (wording) used by the AI.

   Feature Request:

   Ensure FAQ Compliance – Provide an option to make the AI Receptionist follow the exact answers set in the FAQ, ensuring consistency between the FAQ and the AI's responses.
   Verbiage Customization – Allow users to update the verbiage or exact phrasing that the AI Receptionist provides in its responses. This would allow businesses to… more

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9. AI notes recovery

   Need to have an option to recover recently deleted AI notes

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10. Google Calendar Appointment booking

    Please support Google Calendar for appointment booking.
    People call in AI Receptionist and they can book an appointment based on schedule availability.

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11. Translate other languages into English in the transcripts

    AI to translate more languages into English not just Spanish and French. There is a higher need for Portuguese, Mandarin, Cantonese, Arabic and Hindi

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12. if scorecards can show timestamps for when the behaviors are observed.

    if scorecards can show timestamps for when the behaviors are observed.

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    Implemented  ·  AdminSushant (Sr Director, Machine Learning, RingCentral) responded

    Thanks again for the suggestion! I’m pleased to let you know that we’ve added this feature—it’s now live and ready to use.  

    RingSense AI now annotates the timestamp where the certain situation was observed based on the scorecard question. This should allow you to easily jump to relative sections in the conversations while reviewing the call.

    Please find the attached screenshot which details the section where you can find the player in the AI scorecard.

13. transcript the recorded call into text
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14. RingCentral - Granular AI Assistance

    Currently, RingCentral's AI assistance features, like call summaries and sentiment analysis, are applied broadly without much customization. This feature request suggests enabling more granular control, allowing businesses to manage these features by specific user roles or individual extensions. It also includes the ability to disable AI assistance for all users and selectively re-enable it as needed. This would enhance flexibility and make the AI features more valuable for businesses of all sizes.

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15. translator

    Integrate AI into live phone calls. Create the ability for an employee to speak in English, and have the AI translator say it in Spanish for the client. Vice versa- If a client speaks Spanish the AI translator would say it to me in English. We would benefit from this not just for Spanish-English but for other languages as well.

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16. Change AI Pre-recorded Message

    Change AI Pre-recorded message before transcribing

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17. Automatically Enable AI Transcription,Notes as soon as call connects

    Allow calls to initiate the Smart Notes and transcription as soon as the call connects weather its inbound or outbound. Also add option for Super Admin to controls to allow or not the users to pause the transcription or recording.

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18. AI continue automatically after hold

    continue automatic AI note taking and or recording after you take someone off hold

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19. Ability to report and print completed evaluations.

    Ability to print / report on completed evaluation forms for agents.

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20. Customization of CRM Advanced Call Logging in RingSense for Sales

    Add the ability to customize mapping of advanced call logging to allow for clients to chose where in the CRM they want RS4S data to be logged. As an example, Zoho advanced call logging defaults to the "Task Body" and not "notes" where customers may want to have this data instead of the task body, This will increase the usability of RingSense and CRM integrations.

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