Audit what customers actually ask
Export the last thirty days of WhatsApp chats or have staff tag incoming messages for one week. You will see clusters: "fee kitna hai," "Sunday open?," "parking available?" — the same themes with different wording.
Rank clusters by frequency and risk. High-frequency, low-risk questions (timings, address, basic pricing) are automation candidates. High-risk questions (refunds, medical advice, legal commitments) stay human-first with optional draft replies.
Turn answers into owned knowledge, not memory
Consolidate approved answers into PDFs, Notion exports, or simple FAQ sheets — one source of truth per location if you run branches. When prices change, update the document once; automation propagates the new answer everywhere.
Sabrixa indexes those files and retrieves the relevant chunk per question, so you are not maintaining brittle if-this-then-that trees. Gyms upload class schedules; salons upload service menus — the bot mirrors what you already use internally.
Close the loop so repeats do not creep back
When a human answers something new, add it to the knowledge base within forty-eight hours. Assign an owner — often the same person who updates Instagram — so documentation does not rot.
Publish a short "before you message us" note in your profile or auto-greeting for the top five questions, but rely on the bot for conversational follow-ups. Businesses that treat WhatsApp like a searchable help centre see repeat volume drop within the first month.