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.
Connect systems or install apps once in the Admin Console, then deploy across Website, WhatsApp, Internal Portal, and API channels — with the same retrieval, permissions, and tool layer underneath. Customer support chat is one application on that platform — not the whole product.
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 an External SDK Connection. 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 Business Application 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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