Industry
Clinical and operational teams need fast access to protocols without chatting across department boundaries. Workspaces keep nursing, IT, and HR knowledge separated.
Patient-facing bots should stick to approved public content and refuse medical advice outside the knowledge base. Qefro’s grounding and refusal design support that posture.
Enterprise options include private deployment discussions for organizations with stricter hosting requirements.
Configure knowledge, instructions, and Business Tools once in the Admin Console. Deploy Customer AI on your website widget and WhatsApp, and Employee AI on a branded Internal Portal — with the same retrieval, permissions, and action layer underneath.
Answers are grounded in your documents and crawled pages. Hybrid search combines keyword and vector retrieval, returns source citations, and is designed to decline when nothing relevant exists — so teams can trust support and internal assistants in production.
When chat must change state — order lookups, tickets, CRM updates — connect your APIs via REST/OpenAPI or the Backend SDK. Credentials are encrypted; outbound calls use HTTPS with SSRF protections; execution logs support review and QA.
You should not rebuild RAG infrastructure, hosting, or channel adapters for every project. Qefro gives organizations a multi-tenant AI Workspace Platform: isolated knowledge per workspace, RBAC for owners/admins/members, PII scrubbing on model calls, and a 14-day free trial with full premium access so you can prove value before buying.
Compare plans on the pricing page, review security controls, and read the benchmark methodology for how we evaluate grounding and refusal behavior. Product docs live at docs.qefro.com.
Practical capabilities for ai for hospitals — not a demo chatbot.
Common questions about AI for Hospitals.
No. Qefro retrieves and acts on content and APIs you configure. It is not a diagnostic device and should only use approved knowledge.
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