01
The shift rota
«Do we need an evening shift?»
The hour map shows the peak is 18:00–20:00. The answer is a chart rather than an opinion.
“4,000 messages answered this month” tells you nothing. Vexvon's report answers different questions: which channel produced leads, which hours nobody was there, how many conversations closed without an agent, and what all of it cost.
Most dashboards show what is easy to measure rather than what a decision needs.
01
The message count goes up, but that shows neither that sales grew nor that the team got any relief. There is a number, and no meaning attached to it.
02
You advertise on Instagram, but most of the leads may be arriving through WhatsApp. If leads are not counted per channel, that question gets answered by guesswork every month.
03
The bill arrives at the end of the month and nobody knows what drove it. To manage a cost you first have to be able to see it.
Vexvon logs every event anyway — the conversation, the lead, the call, every AI request. The report turns those records into answers rather than into more numbers.
It is built in the background and arrives as an Excel file — nobody fills in a spreadsheet.
Overview
Total messages, incoming messages, replies and unique customers — plus an estimate of the agent hours saved.
Working hours
Messages arriving and answered outside working hours, weekend volume, an hour-by-hour heatmap and the busiest hour.
Channel breakdown
Each channel's share of messages and the number of leads it produced — the input for an ad-budget decision.
Sentiment
The share of positive, neutral and negative customer messages — a satisfaction trend you can follow month to month.
Conversations
Total, closed, and fully bot-handled conversations — the real effect of the automation.
Leads
Total, successful and out-of-hours leads as a share — where the funnel leaks becomes visible here.
AI reliability
Total AI calls, success rate, average latency, total tokens and cost in dollars.
Volume by hour — example
The darker bars are outside working hours. This is an illustration of the screen — your figures will come from your own account.
The method behind the saved-agent-hours figure is printed too: each bot reply is counted as roughly three minutes of agent work. A number whose method is hidden is worth nothing — least of all to a buyer who has been shown a dashboard before.
The report arrives, the cost is visible, every event is logged, and the data can leave. Open any of them to see what is inside.
All four are questions that otherwise get answered by guesswork.
01
«Do we need an evening shift?»
The hour map shows the peak is 18:00–20:00. The answer is a chart rather than an opinion.
02
«Which channel do we back this month?»
The channel breakdown counts leads, not messages. The channel with the most messages is not always the one with the most leads.
03
«Is the bot paying for itself?»
The share of fully bot-handled conversations and the agent hours saved — with the method stated.
04
«Why is the AI bill up?»
The split across 17 purposes shows which operation drove it — image analysis, for instance.
Instagram, WhatsApp, Telegram, Facebook, TikTok, your website and your phone line all write to the same report.
You do not open a separate dashboard per channel. When a customer writes on Instagram and then calls, both touches appear in the same report — which is why “what did this customer cost us?” has its answer in one place.
An empty report template says nothing; a month of real data says a great deal. Tell us briefly about your company — our AI Call Center agent will call you shortly and answer your questions.