Telegram sales automation, from first message to closed deal
Pulse handles incoming conversations, flags hot leads, and reminds your team about stalled deals — so people focus on clients who are actually ready to buy.
What happens to every incoming conversation
When a client messages you on Telegram, the AI replies first, drawing on your configured knowledge base. The conversation automatically becomes a lead card, and the system tracks what happens next — whether the client keeps replying, interest cools off, or a manager needs to step in.
Core automation mechanics
Handles high volume
AI manages many conversations in parallel — a spike in incoming messages doesn't mean longer wait times for clients.
Flags hot leads
The system marks conversations showing clear commercial intent, so your team knows exactly where to focus first.
Reminders for stalled deals
If a conversation sits unanswered by your team for too long, Pulse reminds you — no lead lost to simple forgetfulness.
AI and managers working together
AI covers routine questions, while complex or closing-stage conversations go to a human — without losing any conversation context.
Visibility and reporting
Leaders get the full picture: how many conversations the AI handled, how many were handed off to managers, and how quickly the team responds to handoffs. Daily reports and team-wide stats surface bottlenecks before they turn into lost deals.
A typical workflow
A client asks about your product → AI replies and clarifies details → if genuine interest is confirmed, the lead is flagged as hot and a manager gets notified → the manager takes over and closes the deal, building on the context the AI already gathered.
Frequently asked questions
How does Pulse identify hot leads?
The AI evaluates the content of each conversation and flags leads showing genuine commercial intent, so your team can prioritize them first.
Can Pulse remind the team about conversations that went quiet?
Yes, the system tracks stalled conversations and reminds the team about them, so leads don't fall through the cracks.
Does automation still work with a high volume of inquiries?
Yes, the AI handles conversations in parallel — more incoming volume doesn't mean clients wait longer for a reply.