24/7 customer support without operators — setting up after-hours AI mode
Close 90% of overnight WhatsApp messages with AI, queue the complex ones for morning. Full setup: knowledge base, escalation rules, morning review.
Why this matters
A customer messages at 11:40 pm: "are you open tomorrow?". Next one at 6:15 am: "how much is service X?". Third at 2 am: "can I book for tomorrow morning?". Your staff are asleep. In the morning the owner sees 18 unread messages — a chunk of those people already booked with a competitor.
ZiFlow's after-hours mode answers 80–90% of these itself: hours, prices, address, available slots, order status. Complex cases are queued politely with "a team member will reach out first thing in the morning". The owner wakes up to 2–3 real cases, not 18.
How night mode works
Three typical after-hours messages to a clinic:
- Simple fact — "what's your address?". Bot replies instantly: "22 Main St, 2nd floor. Open tomorrow from 9 am."
- Booking request — "can I come in tomorrow for a cleaning?". Bot checks Google Calendar, proposes slots, confirms. Customer wakes up to a confirmation.
- Complex case — "I have pain after the procedure, what do I do?". Bot: "That sounds serious. A clinician will call you first thing at 9 am. If it's urgent now, please call [emergency number]." A high-priority task is queued.
Step-by-step setup
AI Agent → Knowledge Base → Upload. Markdown/TXT file or paste manually. Target 30+ Q&A pairs: prices, hours, address, services, refunds.
AI Agent → Escalations. Instant handoff triggers:
- Keywords: "complaint", "refund", "manager", "human"
- Strongly negative sentiment (auto-detected)
- Order value above $500
- Same question asked a third time
Settings → Operating Hours. Define team hours (e.g. Mon–Sat 9:00–18:00). Night mode activates outside them. Confirm the account timezone is correct (America/New_York, Europe/London, etc.).
AI Agent → Night Mode → On. Opening template: "Hi! We're closed, but I'm [company]'s AI assistant — I can answer quick questions now and queue anything complex for the morning."
Settings → Automations → Add rule. "Night escalation → dashboard task at 9 am with priority overnight". Operators open "To handle" and blitz 3–5 items.
Settings → Notifications. Attach a Telegram channel or phone number. Add rule: keywords urgent, pain, emergency → SMS / call owner.
Logs → Overnight conversations. For 3 weeks, spend 10 minutes each morning: flag wrong answers and click "Add correction to knowledge base".
Analytics → Night Mode. Metrics: % closed by AI, avg response time, optional overnight NPS. Target: 85–90% closure, under 30 sec response, NPS ≥ 8.
What good looks like
- Closure rate: 80%+ of overnight conversations resolved without a human. Below 60% means the knowledge base is thin.
- Response time: under 30 seconds. At night the customer doesn't wait — if there's no reply in a minute they bounce.
- Morning task count: 2–5 per day for a typical SMB. More than 10 usually means escalations are too aggressive and simple questions are getting handed off unnecessarily.
- Retained customers: compare "10 pm – 9 am" bookings before and after. Typical lift: +15–25%.
Before ZiFlow I'd wake up to 25 unread messages. Now it's 4, all real. The bot handles hours, address, pre-booking — I no longer burn the first hour of my day on chat.
— David Lambert, dental clinic co-owner, Chicago
Common pitfalls
Keep reading
After-hours support compounds with auto-booking — overnight customers book slots instead of slipping away. Vertical playbook for salons: beauty industry guide. Side-by-side with a traditional chat widget that has no AI: ZiFlow vs Jivo.