196 results found
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AIR Response Delay - Immediate Need
AI Receptionist response delay should be integrated as immediately as possible. 3-4 seconds should be enough time for most people to naturally pause in their speech as they think about what they want to say next. That said, I've seen another request here for 5 seconds so it would help if this were an adjustable feature.
Without much programming on my part, the AI response time was absurdly short, interrupting literally every single time I said something (sent a recording to ring central support). With more programming (more FAQ information and documents loaded and assigned to the AIR) the response…
2 votes -
AI usage
Ability to see the accurate usage of the AI receptionist. Currently, there is a "blind spot" where the AI Analytics dashboard and the Call History exports don't match—specifically with call durations showing as 0 seconds in the logs despite active interactions.
2 votes -
Enable AI Receptionist Integration with External Systems for Order Status Inquiries
Requesting the ability to integra website or order management system with the RingCentral AI Receptionist so it can automatically respond to caller inquiries related to order status.
Currently, the AI Receptionist cannot access external systems or pull real-time, customer-specific data.
3 votes -
AI Receptionist
AI would be better if it was able to take notes from callers
1 vote -
Have Lead Capture filters the questions based on the transfer by context
Lead capture on AI Receptionist should have the option to filter to specific transfer by context.
For example, lead capture A - that should only cater transfer by context A. Then Lead Capture b, should only cater transfer by context b. Current work around is all lead captures are being asked in all transfer by context. It should vary per transfer by context or department
1 vote -
Analytics on AI Receptionist
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 -
AIR Update User Information
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 -
AI Receptionist global speech and tone controls for the super admins
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 -
Add Persistent AI Receptionist Behavioral Guidance / System Instructions
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 callsExample instruction:
“Speak in a calm, confident, and measured manner.…1 vote -
AI Minutes safeguard rail (set up time limit each caller can stay with AI)
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 -
Ability to edit text template
For AIR + Ability to edit text template.
2 votes -
AI Lead Management in the RingCentral App
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 -
AI Receptionist Usage Counter
The feature of having usage summary. Total number minutes used. Remaining minutes. Option to export call history.
7 votes -
Expanded Analytics for Unresolved Calls in AIR (AI Receptionist)
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 -
AI Receptionist to ask and gather information
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 -
Update the AI Receptionist "Call History" export to align with the account’s configured regional settings (GMT -07:00).
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 -
AI receptioninst to have the ability for callback
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 -
It would be a great option if AI can be used to pick up phone calls not automatically, but only after 3 phone rings and no answer.
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 -
Training and Custom Logic
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 -
AI Agents Retry Logic for Rule-Based Actions
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 exhaustedAdding retry logic would improve reliability, reduce failed interactions, and enhance the overall user experience when using AI-driven…
1 vote
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