CASE STUDY

AI-Powered Patient Engagement & Intake Automation

Healthcare Technology • AI Patient Engagement • Workflow Automation

A connected AI-assisted patient engagement and intake platform that turns conversational enquiries and callback requests into structured, prioritized leads while coordinating CRM, marketing automation, staff notifications and operational follow-up.

Healthcare & Wellness

Ongoing Project

AI-powered patient engagement and intake automation connecting enquiries, CRM, qualification, scheduling and staff workflows

The Challenge

Healthcare organizations increasingly receive patient enquiries through multiple channels, including websites, conversational interfaces, forms and phone interactions. Capturing an enquiry is only the first step. Staff still need enough context to understand what the person needs, determine the appropriate next action and make sure the enquiry does not disappear between systems.

For this engagement, AI-driven conversations and website callback requests needed to become part of the same operational workflow used by the clinic team.

Without a connected system, staff would have to move between conversational platforms, website submissions, email, CRM and marketing systems while manually identifying which enquiries required attention and reconstructing previous interactions.

The requirement therefore went beyond deploying an AI agent. The clinic needed an intake and orchestration layer capable of converting conversations into structured lead information, preserving relevant context, prioritizing follow-up and coordinating the systems responsible for the next step.

The Solution

Digital Bevy designed and developed a centralized patient-engagement and intake workflow around the clinic’s existing technology stack.

AI conversations and website callback requests enter the platform through dedicated integrations. Relevant information is converted into structured lead records, preserving details such as contact information, location, intent, conversation context and callback requirements.

The platform applies configurable lead-scoring and triage logic so staff can identify enquiries requiring attention instead of treating every incoming interaction identically.

From the centralized intake environment, downstream workflows coordinate CRM synchronization, marketing automation, staff notifications and callback management. Integration safeguards such as retry handling, duplicate-processing controls and activity logging help prevent temporary failures from disrupting the primary intake workflow.

Rather than replacing the clinic’s specialized platforms, the solution connects them through an operational layer designed around the patient-enquiry journey.

What We Built

  • Centralized Patient Intake: A unified intake environment that receives enquiries from multiple sources and converts them into structured lead records that staff can review, prioritize and manage from one operational interface.
  • AI Conversation & Callback Integration: Webhook-based integrations bring AI conversation data and website callback requests into the same workflow, preserving relevant contact details, conversation context, location and requested follow-up.
  • Lead Scoring & Triage: Configurable scoring evaluates incoming enquiries using factors such as intent and urgency, allowing staff to filter and prioritize leads that may require faster attention.
  • CRM & Marketing Automation Integration: Qualified intake information synchronizes with the clinic’s CRM and marketing automation environment so lead records, contact updates and downstream workflows remain connected.
  • Staff Notifications & Callback Management: Configurable notifications alert appropriate team members when qualifying events occur, while callback requests can be reviewed and progressed directly through the operational workflow.
  • Analytics & Administrative Controls: Dashboards provide visibility into intake activity, scoring distributions, conversion-related signals and operational performance, while administrators can manage locations, thresholds, notification settings and integration configuration.
  • Integration Reliability & Security Controls: Retry handling, duplicate-processing protection, activity logging, authenticated access, role-based administration, masked integration credentials, rate limiting and related safeguards support reliable operation across connected systems.

Technology & Capabilities

  • ElevenLabs
  • AI Voice
  • Webhooks
  • WordPress
  • vTiger
  • Mautic
  • CRM Integration
  • Lead Scoring
  • Email Automation
  • Workflow Automation
  • APIs
  • Analytics

The Outcome

  • One connected intake workflow: AI conversations and website callback requests become structured lead information within the same operational process instead of remaining isolated in the platforms where they originated.
  • Better context for staff follow-up: Relevant patient-enquiry information, conversation history, lead status and callback requirements can be reviewed together, reducing the need to reconstruct context across separate systems.
  • Prioritized operational attention: Configurable scoring and triage give staff a systematic way to identify enquiries that may require faster follow-up while preserving the broader lead pipeline.
  • Connected systems without replacing the existing stack: CRM, marketing automation, conversational AI, notifications and intake operations work through an orchestration layer, allowing specialized systems to remain in place while creating a more consistent patient-engagement process.

Build a More Connected Patient Engagement Workflow

Tell us where patient enquiries, AI conversations or follow-up are getting disconnected. We’ll help identify a practical way to connect the workflow around your existing systems.