Healthcare · Medical Practices · Urgent Care · Multi-Location Health Systems
Every Patient Call Answered. Every Intake Consistent. No Missed Appointments.
We build AI intake voice agents, practice operating dashboards, and patient outreach systems for medical practices and healthcare groups. Compliance-aware. Trained on your appointment types. Integrated with your EHR. Deployed in weeks.
24/7
Patient intake coverage: no missed calls
0.918
Avg eval score on intake accuracy
100%
Compliance-aware configuration
1:42
Average intake call duration
Where patient opportunities are being lost right now
- Inbound patient calls going to voicemail during busy clinic hours, and a percentage of those patients book somewhere else
- Front desk staff spending the first two hours of the day returning calls from the night before instead of managing the live patient flow
- Inconsistent intake information collected depending on which staff member answered the call
- No visibility into which referring providers are sending volume, which are declining, and which need a touchpoint
- High-intent appointment requests falling through the cracks when the scheduling system is not integrated with the intake process
- Multi-location practices with no unified view of patient volume, revenue, and staffing efficiency across sites
Most practices patch the intake gap with answering services, voicemail callbacks, and front desk overtime. The result is inconsistent data, missed patients, and a front desk that starts every day behind. We build AI intake systems that handle every inbound call at any volume, with consistent data quality, so your team starts the day with a clean queue.
AI tools built for healthcare practices
Every system is custom to your practice area, intake workflow, and compliance requirements.
AI Intake Voice Agent
Answers every inbound patient call with a structured, compliant intake script. Collects demographic and insurance information, identifies appointment type, and routes based on urgency. Compliance-aware from day one: appropriate disclosures, no clinical advice, configurable escalation paths.
- Full intake script trained on your practice's appointment types and criteria
- Per-field confidence scoring: low-confidence data flagged for human review before entry
- Structured patient data pushed to your EHR or scheduling system after every call
Operating Dashboard
Real-time view of your practice operations: patient volume by location, appointment fill rate, no-show rate, revenue cycle status, and provider utilization. Built for practice administrators and multi-location medical groups who need one screen instead of five reports.
- Integrates with athenahealth, Kareo, DrChrono, eClinicalWorks, or your practice management platform
- Location-by-location comparison for multi-site practices
- Appointment funnel from inbound call to completed visit: where patients are falling out
Patient Outreach Automation
Personalized outreach sequences for recall campaigns, appointment follow-ups, and referral source nurture. Reaches patients who are due for a follow-up and referring providers who have gone quiet. No dedicated person required.
- Recall sequences by appointment type and time since last visit
- Referring provider nurture with personalized messaging per relationship type
- All replies to one inbox, sorted by patient status and urgency
What this looks like in practice
The after-hours intake gap
A multi-specialty practice generates 35% of its inbound patient calls between 5pm and 8am. Those calls go to a third-party answering service that takes a message. The next morning, the front desk has 40 messages to return while also managing the live queue. An AI intake agent answers every after-hours call, collects structured intake data, identifies appointment type and urgency, and routes emergency situations to the on-call line immediately. Morning callback list is pre-sorted. The front desk works the live queue.
Inconsistent intake driving bad data
A primary care practice has four people answering phones. Each of them runs the intake script differently. Insurance information is frequently missing. Referring provider data is inconsistently captured. An AI intake agent runs the same script on every call: same questions, same order, same confidence threshold before data is accepted. The EHR has cleaner records. Billing exceptions go down.
Multi-location visibility for a growing practice group
A practice group with five locations gets a monthly management report from each site. By the time the data is compiled, it is 30 days old. An operating dashboard connects to each location's practice management system and surfaces patient volume, no-show rate, revenue cycle status, and provider utilization in one view updated daily. The administrator spots a staffing efficiency issue at location three before it shows up in the monthly report.
Why healthcare practices choose Kingbird
Compliance built in from day one
We do not bolt compliance on at the end. The intake agent is configured with appropriate disclosures, escalation paths, and data handling standards from the first line of the script. Your legal and compliance team reviews before go-live.
Your intake script, not a generic one
The agent runs your script. Your appointment types, your qualifying questions, your insurance requirements, your language. It does not sound like a generic answering service because it is trained on your practice.
Data that actually enters the EHR clean
Per-field confidence scoring means low-confidence data is flagged before it enters your system. Billing exceptions that trace back to bad intake data go down. Your EHR gets better records, not more records to fix.
Scales through any volume surge
An urgent care with a Monday morning rush or a specialty practice during open enrollment season gets the same intake quality at 5 calls or 50. Capacity is not a constraint when the intake agent answers every call.
Common questions from practice administrators and healthcare operators
Is the AI intake voice agent compliance-aware for healthcare environments?
Yes. The system is built with compliance guardrails from the ground up: appropriate intake disclosures, no clinical advice given, structured data handling, and configurable escalation paths for urgent or emergency situations. We walk through your specific compliance requirements during scoping and build the guardrails in before go-live. We work with your legal and compliance team to ensure the configuration meets your standards.
What happens when a patient has a medical emergency or urgent situation?
The agent identifies escalation triggers, including language indicating emergency, chest pain, difficulty breathing, and other high-urgency signals, and routes immediately to a human or to an after-hours emergency line. You define the escalation criteria during configuration. The system never handles a situation it is not configured to handle.
Can the agent integrate with our EHR or practice management system?
Yes. We integrate with athenahealth, Kareo, DrChrono, eClinicalWorks, NextGen, and most platforms with an API. We assess your specific setup during the scoping call. If your platform is less common, we evaluate integration options before committing to the build.
How does per-field confidence scoring work for patient intake data?
Every data point collected during an intake call, including patient name, date of birth, insurance ID, appointment type, and referring provider, is scored for how clearly it was stated and captured. Fields below your confidence threshold are flagged for a human to verify before the record is finalized. This prevents bad data from entering your EHR and triggering downstream billing issues.
Can this work for a single-location practice, or is it designed for groups?
Both. A single-location practice with high inbound call volume, primary care, urgent care, specialty practices with active patient populations, gets significant value from an AI intake agent and recall outreach. Multi-location groups get the additional benefit of cross-site visibility in the operating dashboard. We scope to your actual patient volume and workflow.
What does a healthcare AI build cost?
AI Intake Voice Agent starts at $14,500. Operating Dashboard starts at $9,500. Most healthcare deployments land between $15,000 and $40,000 depending on integrations, location count, and scope. Book a free AI audit and we will put a specific number against your patient volume and workflow within a week.
Stop losing patients to missed calls and inconsistent intake.
Free 30-minute AI audit. We will map your intake gaps, walk through what a compliant custom build looks like for your practice, and put a number against it. No obligation.