Your salesperson gets the lead together with the question the customer asked. So they know the context before the first call, instead of dialing in blind. Meanwhile, a customer who lands on the site at 10 PM gets an answer right away, not the next day.
Lost time, lost customer
Scope of services, terms, differences between plans – the same questions keep coming back endlessly. Salespeople answer them for the hundredth time instead of handling conversations that actually need their expertise.
A customer who doesn’t get an answer in the evening usually doesn’t come back the next day – they simply ask somewhere else. You won’t see this in any report, because that contact never happened in the first place.
Solution
The assistant, embedded on your site, answers questions about your offer based solely on a knowledge base you’ve approved. It doesn’t make things up or improvise. When a question falls outside that knowledge, it says so directly and offers to connect the person with your team, instead of misleading the customer.
The contact collected is sent to your team and to your CRM, together with the question it was about.
B2B companies
Services, distribution, manufacturing, IT. The solution is industry-agnostic and isn’t tied to a specific sector or company size.
There’s no minimum sales team size. The assistant makes sense whether you have one salesperson or a dozen.
About the scope of a service, terms, or differences between plans.
Immediately, from your knowledge base, pointing to the source.
It says plainly that it doesn't know, and opens a contact form.
By email and into your CRM, together with the content of the question.
You get a ready-made list of gaps to fill in your knowledge base, plus a picture of what customers ask most often. This happens alongside everything above, in every conversation.
Knowledge and leads
What the assistant doesn’t do
Control sits with the knowledge, not with individual messages. You decide which materials the assistant can draw on, and it doesn’t go beyond them. Chat replies go to the customer immediately, without a human in between – because that’s exactly where the value is: the customer gets an answer in seconds, not hours.
Anything that would go to a customer on behalf of a salesperson – for example, a follow-up message referencing an earlier conversation – always requires human approval.
Responsibility
Each customer’s data is kept separate. The form requires consent for data processing. You have visibility into unanswered questions, usage statistics, and the status of every lead.
Effects
The assistant doesn’t speed up sales by writing faster than a human. It does three concrete things:
What we measure
We won’t quote someone else’s results here, because they wouldn’t mean anything for your site. Instead, we agree on exactly what to count, and you see it in the panel from day one.
How many inquiries turned into a lead that would previously have simply disappeared.
How many questions the assistant closed on its own, without involving a salesperson.
Compared with how long it currently takes your team.
A signal of what's missing from the knowledge base. Should decrease as the base is filled in.
You also see the distribution of inquiries over time: how many questions come in outside business hours - in other words, how many contacts you were already losing from the start. We set the baseline together, so it's clear after the pilot what actually changed.
Example use case
A B2B service company with an extensive offer and several partnership plans. Salespeople got the same questions every day: what’s the difference between plans, what’s included in scope, what the implementation process looks like. Some inquiries came in the evenings and on weekends. The answer went out on Monday, and some customers no longer replied.
After deployment, the assistant answers these questions from service descriptions and the FAQ, and when someone asks about pricing for a specific case, it says it can’t calculate that and opens the form. The salesperson receives the contact together with the pricing question, so the first conversation starts from something concrete.
The log of unanswered questions also showed, along the way, that customers were massively asking about something that hadn’t been described in the offer at all.
Pilot and implementation
First we check the effect on your traffic, and only then expand the solution.
We check what knowledge about your offer already exists, and in what form.
We load in documents and website content, and fill in the gaps.
A widget matched visually to your site.
We go through representative questions and check accuracy.
A working assistant built on your own knowledge base, data from real traffic against the metrics agreed at the start, and a list of questions that had no answer. Based on that, you decide whether and how to expand the solution.
Expansion within the implementation project
The following capabilities are added on as part of the implementation project, tailored to your processes:
