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AI Conversation Expert (ACE, formerly RingSense), AIR & AVA

AI Conversation Expert (ACE, formerly RingSense), AIR & AVA

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  1. In the Analytics part of the AI Receptionist, it should also show how many calls are being transferred to an extension, eternal number and such so. Currently, we are only getting it in call history. But to track the details, we should be able to get it under Analytics.

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  2. Have the ability to change the user's name in AIR or make an changes on the AIR extension for RingCentral AIR plan account.

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  3. Provide administrators with a dedicated System Prompt / Instruction setting within the AI Receptionist configuration. This feature would allow admins to inject a permanent behavioral script or toggle a "Speech Pace" setting (e.g., "Calm and Measured," "Professional/Executive," or a percentage slowdown), ensuring the AI maintains a calm, consistent, and unhurried pace throughout the entire conversation, not just during the initial greeting.

    Business Impact & Justification
    Brand Alignment: For high-touch B2B industries, like executive technology leadership or legal counsel, a rapid-fire default AI voice sounds robotic and rushed. Admins need the ability to enforce a relaxed, premium, and human-like tone.

    Customer…

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  4. Please add a dedicated configuration section that allows account administrators to define persistent behavioral instructions for each AI Receptionist before the Company Greeting and all caller interactions begin.

    This would function as a pre-conversation system instruction layer that continuously influences the AI receptionist’s communication style, pacing, tone, and personality throughout the entire call.

    Example use cases include:
    • Slower or calmer speech cadence
    • Executive or concierge-style communication
    • More empathetic or reassuring tone
    • Reduced sales-like enthusiasm
    • Industry-specific communication styles
    • Consistent pacing and professionalism across all calls

    Example instruction:
    “Speak in a calm, confident, and measured manner.…

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  5. Can we have the ability to automatically end a call if AI detects that the caller is only playing around with the system? This is to protect AI minutes being consumed in a wrong way from callers who might play around with AI receptionist.

    4 votes

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  6. For AIR + Ability to edit text template.

    2 votes

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  7. Currently, leads captured by the AI Receptionist (AIR) require users to leave the main interface and log into the Admin Portal or a CRM, which creates friction and slows down follow-up times. I propose adding a dedicated "Leads" tab directly within the RingCentral desktop and mobile apps, allowing users to view AI-captured responses, read call summaries, and initiate immediate call-backs or texts without switching platforms. Integrating this workflow natively would significantly improve "speed-to-lead" and make AIR a more powerful, cohesive tool for daily business operations.

    2 votes

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  8. The feature of having usage summary. Total number minutes used. Remaining minutes. Option to export call history.

    7 votes

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  9. Summary

    Enhance AIR Analytics to provide comprehensive visibility into Unresolved Calls, including categorization, metrics, and actionable insights across all failure types: Abandoned Calls, Dropped Calls, Lost Calls, Out-of-Scope Intent, Multilingual/Dialect Failure, and other system-level or user-level breakdowns.

    Problem / Opportunity

    Currently, AIR Analytics offers limited insight into why certain calls go unresolved. Without detailed categorization and metrics, users cannot accurately diagnose performance issues, optimize call flows, or understand where the AI receptionist is failing. This diminishes the ability to improve customer experience and reduces confidence in the system’s accuracy and coverage.

    Proposed Solution

    Introduce a dedicated Unresolved Calls Analytics Module…

    3 votes

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    New  ·  1 comment  ·  AIR (AI Receptionist)  ·  Admin →
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  10. AI should have the abillity to ask questions and gather data that can be useful for some company that involves scheduling or booking. Once information is obtain it will be sent to users

    6 votes

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    New  ·  1 comment  ·  AIR (AI Receptionist)  ·  Admin →
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  11. There is a confirmed 10-hour discrepancy between the portal and the exported reports. While the web dashboard correctly reflects the customer’s local time (MST), the exported CSV files are shifting timestamps by +10 hours.

    Confirmed Details:

    Customer/Site Settings: GMT -07:00

    Export Behavior: Timestamps are offset by 10 hours (Confirmed by SME/SE).

    Impact: This behavior makes the data unusable for daily reporting as calls are shifted into the wrong business day. SME confirmed this is currently "working as designed," so a feature update is required to allow exports to inherit local regional settings.

    2 votes

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  12. For AI receptionists to have the ability to callback whenever the cx leave a voicemail and requests a callback, or if there is a missed call.

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  13. It would be a great option if AI can be used to pick up phone calls not automatically, but rather after 3 phone rings or no answer.

    10 votes

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    New  ·  1 comment  ·  AIR (AI Receptionist)  ·  Admin →
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  14. There ought to be more functionality for teams to inject custom logic and training.

    Examples:

    • Never Say...
    • Talk About...
    • When asked about (enter context, keywords, just like transfer by context)... Respond with...
    • Be more specific about whether employee names should be stated specifically in the call or avoided altogether
    5 votes

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  15. We would like to request the ability to implement retry logic within AI Agent rule-based actions. Currently, when a rule fails to execute successfully (e.g., input not recognized, transfer failure, or timeout), the system does not consistently retry or provide configurable fallback handling.

    This feature would allow administrators to:

    Configure the number of retry attempts for each rule
    Define retry conditions (e.g., no input detected, failed transfer, invalid response)
    Customize retry prompts or messages
    Set fallback actions after retry attempts are exhausted

    Adding retry logic would improve reliability, reduce failed interactions, and enhance the overall user experience when using AI-driven…

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  16. Enable Calendar on AI receptionist

    6 votes

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    New  ·  1 comment  ·  AIR (AI Receptionist)  ·  Admin →
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  17. AI Receptionist: Allow call queue extension to be use as backup extension

    as per Engineering Team

    AIR does not support this feature for now, only user extensions can be used as backup ext.

    6 votes

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  18. Having the ability to integrate a custom API with RingCentral’s AI Receptionist would be a game-changer for us. It would let us connect our existing CRM and scheduling tools directly to the receptionist, so it could automatically pull up customer info and book appointments without any manual input. That kind of seamless flow would save us so much time and reduce errors, plus it would make the experience way smoother for our clients. Honestly, it feels like the perfect way to take our customer service to the next level

    9 votes

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  19. Please make the ai receptionist able to integrate gohighlevel crm so we can use the lead capture feature and automatically send the lead information to the gohighlevel crm and create an opportunity.

    1 vote

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    New  ·  0 comments  ·  AIR (AI Receptionist)  ·  Admin →
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  20. Customers feedback is that during the conversation between the caller and the receptionist, the AI Receptionist, would take a while to respond. Then, at the end of the conversation, when the caller says thank you, the AI would say, "let me check that for you" before having a closing remarks.

    14 votes

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