“Back when we used a chat tool without AI, one or two leads a month was a good month. Since moving to Meeton ai it has been 20+ a month — more than 20x the leads are coming from chat. In a year when we have not been able to spend heavily on acquisition, our existing services like robop and Connect are winning customers through chat, and that has been a real help.”
— Chizuru Morita, BizteX Inc.
BizteX Inc. is a SaaS company leading the business-automation space under the vision "Technology for Humans." Its three core products are the cloud RPA "BizteX cobit," the iPaaS "BizteX Connect," and the desktop RPA "BizteX robop." Companies across a wide range of industries rely on them to automate everything from back-office work to core operations.
BizteX's marketing pipeline is mostly inbound, with the website as the front door. Within that, web chat had for years been an untouched channel, left in a state close to abandonment.
The previous tool was a scripted, non-AI chat. Because it was scenario-based, every answer had to be written and loaded in advance, and the maintenance cost kept growing. Eventually nobody could fully trace how the answer flows inherited over the years were even put together, and the chat had effectively stopped running.
We just couldn't anymore. We had given up on it, or rather, we were leaving it alone.
Even after giving up on it, one or two conversions a month still came in. It produced something, but the effort and the results did not match. Whether to cancel it or keep it was a decision that kept getting postponed.
The company's inside sales rep was set to leave. Until then, a "follow-up call within 5 to 10 minutes" routine had kept prospects from slipping away, but that could no longer continue. BizteX urgently needed to rebuild around automation, so that meetings would be created on the website on their own.
There was effectively no competitive evaluation. Ogawa, the head of sales, brought it in with "this looks good, I'd like to hear more," and the decision to adopt was close to agreed on the spot. The decisive difference from the old scripted chat was breadth: a marketing tool that reaches beyond the "chat" category.
Being able to do so many things in one place was the first deciding factor. Compared with the old scripted chat, it already felt less like a chat tool and more like a marketing tool, and I thought that if we really learned to use it, we could do a lot with it.
The biggest liability of the scripted chat was the cost of running the scenarios themselves. With Meeton ai, the AI reads the website's content and answers automatically, so there is nothing to maintain by hand. Technical questions, such as security, are answered from the documentation the AI has read, which makes mistakes unlikely.
The answers really do come from reading our web pages, and there is no work on my side at all. Maybe a little, but practically none. Compared with the old scripted chat, that is the big difference.
After going live, BizteX saw feature requests to DynaMeet reflected within a day to a few days. That agility, possible precisely because DynaMeet is in its startup phase, is something Morita personally recommended: "You should absolutely put this in the case study."
They are incredibly quick on their feet. You tell them something, and the next day or the day after they say "it's done." No other company does that, so it has been a real help.
In the scripted-chat era, BizteX got roughly one or two chat-sourced leads a month. After adopting Meeton ai, that jumped to more than 20 a month — a 20x+ level. Acquisition for the existing services is moving forward without significant additional cost.
In a year when we have not been able to spend heavily on acquisition, our existing services like robop and Connect are winning customers through chat, and that has been a real help.
The value of Meeton ai is not only the number of leads. The unfiltered questions customers leave in chat are becoming a new information asset for the organization.
Pricing dominates: most chat questions are about pricing. Realizing "so this is what people care about" leads to hypotheses for improving landing pages and content.
Early signals of churn intent: now and then, a "we want to cancel" inquiry arrives through chat. A customer set on cancelling would contact sales directly, so a customer asking in chat is still wavering. If customer success is looped in right away, there is room to turn it around. The chat has started to work as a retention radar.
If they are only at the stage of thinking about cancelling, looping the team in gives us a chance to stop it. We can hand off to CS, so it is good in that sense too.
AI accuracy on technical questions: BizteX Connect gets many technical questions, security among them. Because Meeton ai answers after reading the website, the team's sense is that "it has not said anything wrong." With the FAQ loaded in, prospects arrive at the meeting with their questions already cleared up.
At the end of the interview, there was one thing Morita made a point of stressing should go in the case study: development speed. "Once you have more customers you may not be able to move this fast, but right now, we tell you something and the next day or the day after you say 'it's done.' No other company does that." The episode shows that what customers look for in a vendor is not only how complete the features are, but just as much how the vendor engages with them.
In the first few months of operation, requests were mostly fine tuning. "Don't use this wording." "Change it to this phrasing." Through prompt adjustments, BizteX's tone and turns of phrase worked their way into Meeton ai. Work that had been "too tedious to update, so left alone" under the scripted chat became, with AI chat, a world of "just tell it and it is reflected immediately."
BizteX plans to cancel TimeRex, the external scheduling tool it had been using alongside, in the near future. The decision follows the maturing of Meeton ai's built-in calendar (Google Calendar integration, round-robin across multiple reps, buffer settings, and QR, link, and embed support). The team also aims to lift the meeting booking rate through UI improvements.
With inside sales short-staffed, automating follow-up after conversion was urgent. Meeton Email uses the behavioral signals and question history of leads captured in chat to have AI generate and send personalized follow-up emails automatically. BizteX will trial it in approval mode and compare it against its existing drip emails.
What Morita hopes for from DynaMeet going forward is simple.
Ultimately, I think the best outcome is for everything to be completed on the website. The whole customer interaction finishes there, right through to booking the consultation. And if it doesn't, you follow up by email. It is not just chat. I'd like you to keep expanding into those areas.
From chat to email, from appointment to calendar — raising the level of automation another notch while keeping the warmth of the interaction. BizteX's next phase has begun.
In a 30-minute demo, you can concretely confirm how it works for your company.
