The Recommendation Agent
Guide every patient to the right doctor, service, or care pathway. The Recommendation Agent matches patients based on symptoms, location, insurance, language, and prior history — before they book.
Humans for care. AI for everything else.
Humans for care. AI for everything else.
What it does
How the Recommendation Agent works.
Patients don't know your service catalog. They know they have a knee that hurts, and they need someone who takes their insurance, within thirty minutes of home, who speaks Mandarin. Getting them to the right doctor on the first try is the difference between a booked appointment and a bounced inquiry.
The Recommendation Agent asks the right questions — location, insurance, symptoms, urgency, language preference — and matches the patient to the right specialist, service line, screening package, or wellness program from your catalog. It weights hospital priorities (higher-margin services, capacity constraints, specialty campaigns) alongside patient fit.
Once the match is made, it hands off to the Scheduling Agent to book the appointment in one continuous conversation. No form to fill, no menu tree to navigate.
Example workflow
A day in the life of this agent.
Outcomes
What hospitals get from this agent.
Where it runs
Deploy the Recommendation Agent on every channel your patients use.
FAQ
Common questions about the Recommendation Agent.
How does the agent decide who to recommend?
Rules-based matching layered with the LLM: hard filters (insurance coverage, location radius, specialty scope, language) narrow the candidate list, then the LLM ranks by patient fit using the described symptoms and preferences. Recommendations are auditable — every match has a stated reason.
Can we control which specialists get recommended?
Yes. The agent respects your service catalog priorities — you can weight specific specialties, promote new doctors, throttle overbooked ones, or exclude specialists on leave. Configured in your admin console; no code required.
Does it recommend packages, not just doctors?
Yes. Screening packages, wellness programs, health screening bundles, and chronic care programs are all first-class recommendation targets alongside individual specialists.
What if there's no good match?
The agent explains what it couldn't match on (e.g., "no cardiologist accepts your insurance within your location range") and routes the patient to a human staff member who can broker an alternative.
Does the Recommendation Agent make clinical decisions?
No. It matches patients to services and specialists — it does not diagnose, treat, or provide clinical advice. Clinical decisions remain with your clinicians. The agent's job is to reduce the friction between a patient's need and the right clinician being booked.
More AI Agents
Explore the full agent suite.
FAQ Agent
Deflect repetitive patient inquiries before they reach your call center.
Scheduling Agent
Let patients book, reschedule, and confirm appointments without calling.
Pre-Admission Agent
Replace paper intake with structured digital pre-admission.
Remote Monitoring Agent
Monitor patients between visits and escalate when care teams need to act.
See how Bot MD can automate one of your patient workflows in 30 minutes.
Bring us a workflow — patient inquiries, appointment booking, pre-admission, patient education, surveys, remote monitoring, or campaign conversion. We’ll show how an AI Agent can handle it across chat, integrate with your systems, and escalate safely to your team.