Before launch, our team tests your AI employee on your own systems, and you review its real replies. It goes live only after you sign off.
Every deployment goes through it. Your AI employee goes live after it passes and you sign off.
AI plays the customer and grades the chats. Our engineers, testers and specialists decide what is tested, what passes and what ships.
Build the test setup on your systems and ship each fix.
Confirm every failure is real. Re-run the full suite after each change.
Write the hard cases and review every flagged chat for accuracy and tone.
We turn past chats into anonymised outlines (topic, language, timing) and map what customers ask most. No names or phone numbers are used.
Short and long chats in English, Chinese and Malay, plus hard cases written by hand. Each runs on a fresh test contact.
An AI customer chats with a staging copy of your setup: the same channel, knowledge sources, CRM, booking systems and API routes.
Every reply is checked against your website, price list, CRM and booking system. Each failure is reviewed by a person and fixed at its cause.
Every change re-runs the full suite, so a fix never breaks something that already worked.
You receive the full report. Launch happens on your sign-off.
A chatbot tested in a chat window can still fail in production: a slow booking system, a CRM field that does not sync, an outdated knowledge file. We test the full chain.
Example: your deposit policy changes. We update the knowledge source and re-run every scenario. The change ships only when the full suite passes.
Conversations we never use for tuning. Passing them shows the AI employee has learned the rule, not memorised the test.
From recent deployments, with client details removed.
The booking system returned morning slots only. Replies now quote only times the system returns.
The knowledge source contradicted the website. Corrected to match.
A live check now compares each quoted price and slot with the calendar and alerts staff on a mismatch.
Pass rates by topic, chat length and language.
The same conversation before and after each fix.
Each failure, its cause and where it was fixed.
Decisions only you can make, such as which requests go straight to your staff.
Thousands per AI employee. They are built from anonymised outlines of your real chats (topic, language and timing) and varied by length and language, plus hard cases our conversation specialists write by hand.
Three days to a week. The range depends on how many flows, languages and system connections your AI employee has.
Yes. Tests run against a staging copy of your real setup: the same WhatsApp channel, knowledge sources, CRM, booking systems and API routes as the live AI employee.
No. Each past chat is reduced to an outline of topic, language and timing, with no names or phone numbers. Test conversations run on dedicated test contacts.
After every change, the full test suite runs again so that a fix in one place cannot break something that already worked. We also keep a held-back set of conversations that is never used to tune the AI employee, to check it has learned the rule rather than memorised the test.
Results for every round, the same conversation before and after each fix, every issue found and how it was fixed, and the questions we need you to answer. Nothing goes live until you have signed off.
Where the AI employee quotes prices or availability, a live checker can compare each reply against your real system and alert your staff when one does not match. When you change a price or policy, we update the source and re-run the suite.
Message us on WhatsApp. We will show you how testing would work for your business.
Message us on WhatsApp