Integration - Booker

Distinct Notification Email Subjects

Businesses want notification emails to be easier to distinguish at a glance. Instead of using the same subject line for every worksheet notification, the email subject should include relevant details such as the caller name, phone number, worksheet name, or notification type, helping staff quickly identify and prioritize notifications without opening each email.

Builder Testing – Pricing Package Field

Agencies want the ability to decide whether businesses are charged for Builder testing. Add a Builder Testing (Yes/No) field to each pricing package, allowing agencies to include or exclude Builder testing charges based on the package they offer.

Time-Based Notifications

Businesses want to configure notifications based on specific times and business hours. For example, they may want alerts during after-hours, operator hours, or other custom schedules to stay informed about missed calls, voicemails, pending follow-ups, or other important events at the right time.

AI-Powered Referral Fax Processing

Healthcare practices want the AI to automatically process incoming referral faxes, extract key patient and referral information, create patient charts, route documents to the appropriate staff, and synchronize the information with their EMR. This reduces manual data entry, speeds up referral workflows, and ensures referrals are processed accurately and efficiently.

Context Transfer Between AI Agents

Businesses want conversation context to be transferred when one AI agent hands a call off to another AI agent. This ensures the receiving AI has the full conversation history, caller intent, and relevant context, eliminating the need for callers to repeat themselves and enabling a seamless handoff.

Voicemail Detection

Businesses want the AI to automatically detect when a call reaches voicemail. Instead of waiting unnecessarily, the AI should identify voicemail, leave a predefined message if configured, and end the call, improving efficiency and reducing call time.

Integration - Patientfy

Mobile App for Businesses

Businesses want a dedicated mobile app to manage their AI receptionist while on the go. They want to quickly add notes, review AI recommendations, update schedules, and perform common actions without logging into the web dashboard, making day-to-day operations faster and more convenient.

AI Powered Notification on End Call

Businesses want automatic email notifications whenever a call ends without any meaningful outcome, such as no appointment booked, no notes created, and no transfer completed, allowing staff to recover missed opportunities. Another use case: Businesses want immediate notifications whenever the AI detects frustrated customers, negative sentiment, churn risk, or high-severity conversations so staff can intervene before the customer relationship deteriorates.

Group Appointment Scheduling

Therapy clinics and wellness centers often schedule large group sessions involving 10–50 patients. The AI should support booking multiple attendees into a shared appointment slot while managing attendance and follow-up rules.

Unified Customer Communication Timeline

Businesses want every customer interaction—including calls, SMS, emails, chat, and AI conversations—to appear in a single chronological timeline, providing staff with complete communication history before engaging with the customer.

Outbound Provider Availability Notifications

When providers are unavailable due to vacations or schedule changes, the AI should proactively contact affected patients to notify them and help reschedule appointments automatically.

Outbound Post-Treatment Follow-Up Calls

Practices want the AI to proactively contact patients after treatments or prescriptions to check recovery status. If patients report complications or concerns, the AI should immediately escalate the call to clinic staff.

AI Learning and Sentiment Analysis from Warm Transfers

Customers want the AI to continue listening after a warm transfer (with consent) so it can understand how staff resolve cases it couldn't handle. The AI should identify gaps in its knowledge, learn successful handling patterns, and generate recommendations to improve future conversations and reduce transfer rates.

Staff Productivity Benchmarking when Call Transferred

Measure individual employee performance. Example: Compare answer rates, booking rates, and response times across team members.

CSV Report Export

Export dashboard data into spreadsheet format. Example: Download booking, call, and performance data for internal reporting.

Website Chat Navigation Assistance

Guide website visitors to relevant pages and resources. Example: A customer asks about a replacement part and AI directs them to the correct purchase page.

Historical Keyword Analysis

Analyze historical call data when new keywords are added. Example: Add "weight loss" today and immediately see how often callers mentioned it over the past six months.

Booking Source Attribution

Track where appointments originated. Example: Determine whether a booking came from a website, chatbot, or phone call.