Healthtech is the clearest example of where AI should assist, not decide. The wins are real — fewer no-shows, faster intake, less phone tag — but only if the agent knows exactly where its job ends. Here's how healthtech teams deploy agents responsibly on WisebotAI.
Good use cases (and one hard line)
Yes: appointment scheduling and reminders, insurance/coverage FAQs from approved documents, intake form completion, "where do I go / what do I bring," routing to the right department.
Never: diagnosis, dosage, triage severity, or anything that reads as clinical advice. The agent's job is logistics and grounded information — a clinician owns judgment.
The guardrailed prompt
You are the front-desk assistant for a clinic. Help with scheduling, directions,
forms, and questions answered in the attached approved documents.
You do NOT give medical advice, interpret symptoms, or recommend treatment.
If a message describes symptoms, an emergency, or asks for clinical guidance:
- do not answer clinically
- share emergency guidance ("if this is an emergency, call your local
emergency number") and hand off to staff.
Answer only from approved knowledge; if it's not there, say so and route to a person.
Tone: calm, plain, respectful.Back it with guardrails — blocked topics (symptoms, diagnosis, medication) and required approval for any action — so the boundary is enforced, not just requested.
Tools, kept minimal
- Knowledge search over approved policy/FAQ documents (cited).
- Book appointment (built-in) for scheduling.
- A custom HTTP tool to your scheduling system, behind auth.
- Escalate to staff for anything clinical or sensitive.
The intake workflow
- Trigger — message on web, SMS, or WhatsApp.
- Manager branch — does it mention symptoms/emergency? → emergency message + immediate handoff.
- Otherwise — KB-grounded answer, or scheduling via the booking tool.
- Hand off — staff receive the transcript and any captured intake fields.
- Run record — every interaction is logged for review.
On compliance — be precise
Don't let marketing outrun reality. Treat data handling, BAAs, and regulatory requirements as contractual and configuration decisions you make with your legal and security teams — not a checkbox a chatbot grants you. Keep humans in the loop, keep the agent's scope narrow, and document the escalation paths.
Start with one non-clinical workflow — scheduling or FAQs — measure no-show rate and staff time saved, then expand carefully.
See writing agent system prompts for the guardrail patterns and a support deflection playbook for the handoff design.