AI Agent & Chatbot — 24/7 Virtual Assistant for Business
Automate customer care, sales and operations with smart AI Agents that understand natural language.
How an AI agent is built and handed over
An AI agent is only as good as the documents behind it. The build starts by collecting what your team already answers every day — price lists, service descriptions, delivery rules, warranty terms, the twenty questions your inbox repeats — and turning that into a knowledge base the agent reads at answer time. Nothing is invented. When the answer is not in the knowledge base, the agent says so and hands the conversation to a person instead of guessing.
Before launch the agent runs in shadow mode against real conversations, so you can read what it would have said without a customer seeing it. That is where tone, escalation rules and the questions it must never answer alone get settled. Every conversation is logged, which means the agent keeps improving from what customers actually asked rather than from what we assumed they would.
- CS staff overloaded as customers grow
- No 24/7 response
- Lost leads from slow replies
- No data for behavior analysis
- 24/7 CS AI Agent on Web, Facebook, Zalo, Messenger
- AI Sales Agent: consulting & order close
- Internal AI Agent — employee assistant, process automation
- Train AI on business data (RAG, Knowledge Base)
Top benefits
24/7 instant response
60-80% less CS workload
Higher conversion via smart consulting
Real-time data analytics
AI Agent deployment
Business & scenario analysis
Data collection & training
Channel integration (Web, Zalo, Facebook, Messenger)
Test & fine-tune
Operate & continuously optimize
What an AI agent deployment includes
Built on your data, connected to your channels, logged so you can audit every answer.
Knowledge base from your own documents
Your price lists, policies and service details structured for retrieval, so answers cite your business rather than a generic model.
Channel integration
Website widget, Facebook Messenger, Zalo and internal chat connected to one agent, so a customer gets the same answer wherever they ask.
Escalation and handover rules
Clear boundaries on pricing exceptions, complaints and anything legally binding, with the conversation passed to a named person along with its history.
Conversation logs and tuning
Every exchange stored and reviewable, with a monthly pass to fix wrong answers and add the questions customers started asking.
Questions about AI agents
Will it invent answers about our prices?
It answers from your knowledge base, and when the information is not there it says so and escalates rather than filling the gap. That behaviour is tested during the shadow phase, which exists precisely so you see the failure cases before a customer does.
How long does deployment take?
Two to four weeks for a customer-service agent, depending on how much documentation already exists. Answering from day one is easy; answering correctly takes two to three weeks of real conversations, which is why tuning is part of the scope rather than an upsell.
Does it replace our support staff?
It removes the repeated questions — opening hours, price ranges, delivery status, warranty terms — which is usually the majority of the volume. Your team then handles the conversations that need judgement, with more time for each. Businesses that fire the team and leave the agent alone lose the escalation path.
Which languages does it handle?
English, Filipino, Vietnamese and mixed-language messages, including the Taglish most Philippine customers actually type. The tone is configured per channel, since the register that suits Messenger is not the one that suits a corporate email.
Where does the conversation data live?
In a database on infrastructure registered to your business, with export available at any time. Customer conversations are a business record; keeping them in a vendor account you cannot export from is how companies lose their own history.
Ready to accelerate with Waebox?
Contact our experts for AI and tech solution consulting tailored to your business.
Free consultation