Multi-channel doc AI: customize + deploy in days by John HenryMulti-channel doc AI: customize + deploy in days by John Henry
Multi-channel doc AI: customize + deploy in daysJohn Henry
Stop copying the same answers into five inboxes. I’ll connect Ktzir Bot–style infrastructure so customers get accurate replies from your real documents—and your team only handles true escalations.
What you get
One knowledge base, every channel — same answers on WhatsApp, Instagram DM, Messenger, SMS, and your website widget (as your stack allows).
Grounded answers (RAG) — responses pulled from your PDFs, DOCX, CSV/JSON catalogs, FAQs, and policies—not generic model guesses.
Optional rich media — audio/video ingested via transcription, then searchable like text (where you enable it).
Optional live data — when it fits your business, tie in Shopify (orders/products) or HubSpot (tickets/deals-style context) so answers can reflect what’s true right now.
Human handoff that doesn’t lose context — when the bot shouldn’t guess, escalations are stored with conversation summary so follow-up is fast.
Operator dashboard — volume, answer rate, channel mix, top questions, document management, and settings behind secure login.
Who it’s for
Teams that already get repeat questions across chat and want faster first response, consistent messaging, and less manual triage—without building a custom ML team.
What I need from you
Your FAQ/docs, channel accounts (Twilio / Meta as needed), hosting preference, and whether you want Shopify or HubSpot connected.
Deliverables
Deployed backend + configured webhooks, widget embed (if used), dashboard access, runbook for uploads and escalation workflow, and a 30-minute handoff call.
FAQs
Yes. Answers are built by retrieving chunks from what you upload (and optional CRM data if we turn that on)—not from a static script.
Typically, WhatsApp and SMS via Twilio, Instagram/Messenger via Meta, plus a site widget. The exact combination depends on your accounts and approval status.
It sends your fallback message and creates an escalation record with the conversation context, allowing a human to reply with the full background.
The stack supports disclosure and retention-style controls for EU-style deployments; we’ll align config to your policy.
You’ll have hosting, Twilio/Meta messaging (where applicable), and OpenAI (embeddings, chat, and transcription if you use audio/video). I’ll give you a realistic range after scoping volume.
Stop copying the same answers into five inboxes. I’ll connect Ktzir Bot–style infrastructure so customers get accurate replies from your real documents—and your team only handles true escalations.
What you get
One knowledge base, every channel — same answers on WhatsApp, Instagram DM, Messenger, SMS, and your website widget (as your stack allows).
Grounded answers (RAG) — responses pulled from your PDFs, DOCX, CSV/JSON catalogs, FAQs, and policies—not generic model guesses.
Optional rich media — audio/video ingested via transcription, then searchable like text (where you enable it).
Optional live data — when it fits your business, tie in Shopify (orders/products) or HubSpot (tickets/deals-style context) so answers can reflect what’s true right now.
Human handoff that doesn’t lose context — when the bot shouldn’t guess, escalations are stored with conversation summary so follow-up is fast.
Operator dashboard — volume, answer rate, channel mix, top questions, document management, and settings behind secure login.
Who it’s for
Teams that already get repeat questions across chat and want faster first response, consistent messaging, and less manual triage—without building a custom ML team.
What I need from you
Your FAQ/docs, channel accounts (Twilio / Meta as needed), hosting preference, and whether you want Shopify or HubSpot connected.
Deliverables
Deployed backend + configured webhooks, widget embed (if used), dashboard access, runbook for uploads and escalation workflow, and a 30-minute handoff call.
FAQs
Yes. Answers are built by retrieving chunks from what you upload (and optional CRM data if we turn that on)—not from a static script.
Typically, WhatsApp and SMS via Twilio, Instagram/Messenger via Meta, plus a site widget. The exact combination depends on your accounts and approval status.
It sends your fallback message and creates an escalation record with the conversation context, allowing a human to reply with the full background.
The stack supports disclosure and retention-style controls for EU-style deployments; we’ll align config to your policy.
You’ll have hosting, Twilio/Meta messaging (where applicable), and OpenAI (embeddings, chat, and transcription if you use audio/video). I’ll give you a realistic range after scoping volume.