We want to track signal logs corresponding to specific keywords. E.g. Customers call logs marked as "Churn Risk" will be called back by the customer success team.

Anuj K 3 days ago

Feature Request

Build a native payment collection module within Kickcall that enables AI agents to securely collect payments on behalf of businesses, even when third-party integrations do not provide payment APIs. The module should support payment collection, card-on-file authorization, deposits, and prepayments, with funds being transferred directly to the business's designated account. Key use cases include: Restaurants: Collect payment for delivery orders before order confirmation. Beauty & Wellness Businesses: Collect advance deposits or securely store a payment method to reserve appointments and enforce cancellation or no-show fees.

Anuj K 4 days ago

Feature Request

Testimonials and reviews play a critical role in the success and growth of any agency. Build a solution that helps agencies efficiently collect testimonials and reviews from their business clients through automated. The experience should be simple, time-efficient, and designed to minimize effort for businesses while maximizing response rates.

Anuj K 4 days ago

Feature Request

Allow customers/practices to configure how long call data is retained within the platform. It will help them to manage storage cost.

Anuj K 4 days ago

Feature Request

Enable native integration with Bandwidth, allowing agencies to connect their own Bandwidth accounts and provision phone numbers directly to AI agents. The integration should support automated number assignment, routing, and lifecycle management from the agency's Bandwidth account. Additionally, agencies should be able to leverage their existing A2P 10DLC registrations and messaging compliance setup within Bandwidth for SMS-enabled AI agents. This feature provides greater flexibility, simplifies telephony management, and allows agencies to maintain full control over their voice and messaging infrastructure.

Anuj K 4 days ago

Integrations

Provide a native integration with Asterisk to support agency partners running Asterisk-based VoIP environments. The integration should enable seamless connectivity between the AI platform and Asterisk telephony systems, including automated phone number routing, extension mapping, call handling. This will broaden compatibility with open-source telephony deployments, reduce manual setup effort, and allow partners to manage voice infrastructure and AI-powered communications within a unified workflow.

Anuj K 4 days ago

Integrations

Provide a native integration with the Crexendo NetSapiens Platform to enable seamless connectivity. The integration should simplify customer onboarding and management across both platforms by automating key telephony workflows, including business/domain mapping, phone number assignment, extension provisioning, and account synchronization. This will eliminate manual configuration efforts, reduce operational overhead, and enable partners to manage customers efficiently from a unified ecosystem.

Anuj K 4 days ago

Integrations

Embeddable chat or call widget for customer websites to capture inbound leads and inquiries and find best possible route to move that lead in business lead pipeline.

Anuj K 4 days ago

Feature Request

Enable an internal communication layer that allows the AI agent to interact with staff, providers, and administrators, similar to how a receptionist communicates with internal team members. Since internal communication is a critical part of daily business operations, the AI agent should be able to send messages, request information, and obtain real-time confirmations or approvals from staff, providers, or administrators while a call is in progress. This human-in-the-loop capability ensures the AI can handle situations that require human validation, decision-making, or coordination without disrupting the caller experience.

Anuj K 4 days ago

Feature Request

Enable two-way SMS conversations between the AI agent and customers, allowing patients to send and receive text messages through the platform. The AI should be able to handle common interactions such as appointment scheduling, confirmations, cancellations, reminders, follow-ups, and general inquiries via SMS. This feature provides a convenient communication channel for patients, improves engagement, and reduces the need for phone calls and manual staff intervention.

Anuj K 4 days ago

Feature Request

Enable the AI agent to handle last-minute patient updates and immediately notify the relevant provider or staff member in real time. Supported scenarios include: Running Late: When a patient calls to inform the practice that they will be late (e.g., 5–10 minutes), the AI instantly notifies the assigned provider or office staff. Appointment Cancellation: When a patient calls to cancel an appointment and didn’t give details for Appointment Cancelation and sends an immediate notification to the appropriate provider or team. This feature improves operational efficiency, keeps providers informed, and helps practices better manage their schedules.

Anuj K 4 days ago

Feature Request

Enable AI agents to automatically verify a patient's insurance eligibility in real time during the intake and scheduling process. The system should validate active coverage, payer information, and plan eligibility before an appointment is booked. This feature helps reduce claim denials, minimize administrative workload, improve scheduling accuracy, and ensure patients are informed of any coverage issues before their visit.

Anuj K 4 days ago

Feature Request

When a call goes to voicemail, AI leaves a pre-configured message and auto-triggers a follow-up SMS.

Anuj K 4 days ago

Feature Request

Before any AI interaction begins, check the caller's phone number against a maintained VIP/flagged number list. If the number is found in the list, bypass the AI receptionist and route the call directly to the front desk for immediate handling.

Anuj K 4 days ago

Feature Request

Enable AI agents to transfer or escalate calls to multiple operators simultaneously. When a transfer is initiated, all designated operators should receive the incoming call at the same time, and the call should be connected to the first operator who answers. Once an operator picks up the call, ringing should automatically stop for all other operators. This feature helps reduce response times and ensures callers are connected to an available staff member as quickly as possible.

Anuj K 4 days ago

Feature Request

Enable automatic transfer of calls to a human agent after a configurable duration (e.g., 5 minutes) while ensuring the AI does not interrupt an active conversation or critical workflow mid-call. The transfer should occur at a natural transition point in the conversation. This feature is particularly valuable for sensitive healthcare specialties, such as mental wellness and ADHD care, where prolonged AI interactions may require timely human involvement while maintaining a seamless patient experience.

Anuj K 4 days ago

Feature Request

Enable AI agents to automatically adjust conversation flows based on caller attributes and predefined practice rules. This includes different scripts and workflows for new vs. returning patients, self-pay vs. insured patients, referral sources, appointment types, or any custom patient segmentation defined by the practice. This feature ensures more relevant conversations, improved patient experiences, and higher operational efficiency by tailoring interactions to each caller's specific context.

Anuj K 4 days ago

Feature Request

When a returning patient calls, the AI should recognize them and use their previous interaction history to provide a personalized experience, eliminating the need for patients to repeat information. The AI should also be able to access relevant data from integrated systems, such as the patient's last provider visit, and proactively offer appointment availability with the same provider when appropriate. This helps create a more seamless, personalized, and human-like patient experience.

Anuj K 4 days ago

Feature Request

Enable real-time sentiment analysis during AI-powered calls to detect signs of frustration, confusion, dissatisfaction, or distress. When negative sentiment is identified, the system should automatically escalate the call to a human staff member before the caller disengages or the experience deteriorates. This feature will improve customer satisfaction, reduce abandoned calls, and ensure sensitive conversations receive timely human intervention when needed.

Anuj K 4 days ago

Feature Request

Enable an in-app outbound dialer that allows staff or practitioners to place calls using the same phone number assigned to their AI agent. This is especially useful for solo practitioners who share their AI agent number with patients but currently lack a way to make outbound human calls from that number. The feature should provide a seamless calling experience, ensuring all inbound and outbound communication appears to come from a single, consistent business number.

Anuj K 4 days ago

Feature Request