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Notes from the workshop

Building grounded, agentic AI assistants for real businesses — chat and voice, on your knowledge and your systems.

Guide · Philippines
AI customer service for SMEs in the Philippines: what it costs and where to start

A practical guide: what AI customer service does today, what it costs (it starts free), and a no-developer path to going live on chat and voice.

Recruiting
AI for recruiters: answer candidates and screen around the clock

Keep every candidate moving — role questions, application status, first-pass screening, scheduling — grounded in your real roles, with handoff to your recruiters.

Healthcare
AI receptionist for clinics: appointments, hours, and directions

Take the routine front-desk load — logistics and appointments, 24/7 — while every clinical question is handed to your staff, by design.

Hospitality
An AI front desk for your hotel: answer and book guests 24/7

Every unanswered "do you have a room this weekend?" is a booking that may not come back. How an AI front desk answers and books around the clock — grounded in your own rooms and rates.

Agents
From answers to actions: what makes an AI agent "agentic"

Answering questions is table stakes. The leap is letting the assistant do the thing — book, reschedule, check a status — safely, inside your systems.

Grounding
Why your AI assistant should answer from your knowledge — not guess

Generic chatbots sound confident and get the details wrong. Grounding is what separates a helpful business assistant from a liability — here's what it means and why it matters.

Launch
Introducing Zynlab: one AI agent for any business

One multi-tenant engine that grounds in your knowledge, acts through your systems, and talks to customers on web and the phone.