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Paper manuals and PDF equipment packs are hard to search on the floor. OCR and document chat make procedures findable in the Internal Portal.
Keep safety-critical content in controlled workspaces with RBAC. Public marketing chat stays separate from plant knowledge.
Integrate ticketing or maintenance APIs when the assistant should open work orders instead of only quoting a PDF.
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 manufacturing — not a demo chatbot.
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