A customer says: "hey do u still have the black one in medium btw do u ship to tirana?"
• Keyword matcher looks for "black", "medium", "ship" — fails because the message is multi-intent.
• Falls into default "I didn't understand" branch.
• Customer gets a main menu. Leaves the chat.
• Lost sale. Brand feels robotic.
• LLM splits the two intents: stock check + shipping.
• Queries inventory API for black-medium SKU.
• Checks shipping zone for Tirana from your shipping rules.
• Replies: "Yes! Black, size M is in stock. We ship to Tirana in 2–3 days for ALL 800. Want me to reserve it?"
• Closes the sale in one message.
Post-purchase support, sizing questions, returns — all off-script by nature.
Customers never book with a template sentence. AI handles real questions + calendars.
Flows stop scaling at volume. AI keeps answering quality at 10x inbound.
ManyChat flows are drag-and-drop rule engines. They handle scripted journeys well, but break the moment a user goes off-path. An AlbTech agent uses a real LLM — it understands intent, handles typos and mixed languages, and can deviate gracefully. If your customers do anything but follow a script, you need the upgrade.
No — we port them. The business logic (order lookups, booking, FAQs) carries over. You trade the flow editor for natural conversation. Most clients keep ManyChat running during the 2–3 week migration so there is zero customer disruption.
All three, plus Telegram, SMS, and your website. The same underlying agent brain runs across channels with per-channel tone adjustment. WhatsApp uses the Cloud API; Instagram and Messenger use Meta's Graph API; Telegram uses Bot API.
Included. Scheduled broadcasts, drip sequences, segmented audiences, opt-in management — all supported. The difference is that incoming replies to a broadcast are handled by a real AI agent, not a keyword matcher.
We will audit your top 10 flows, show you what an AI agent would do differently, and give you a migration plan. Free.