Clients, leads and pipeline — right inside Telegram: cards, statuses, reminders, no separate app.
Clients and agreements live in chats and in your head, unstructured, follow-ups and payments slip.
We set up a CRM with a Telegram interface: the bot creates the card, runs the pipeline (new→quote→in progress→paid), sends reminders; Claude on top enriches cards and suggests the next step. Leads from bot №7 flow in here.
CRM bot interface in Telegram (aiogram, MIT)
Client cards, pipeline/statuses, reminders
Backend on a permissive stack (Django-CRM MIT with built-in MCP for Claude, or Chatwoot MIT)
Claude on top (enrichment, chat summarisation, next-best-action)
Leads intake from bot №7 and other channels
GDPR/DPA + AI Act art.50
aiogram (MIT) + Django-CRM/BottleCRM (MIT, MCP for Claude) or Chatwoot (MIT, with a Telegram channel).
Limitation: a ready permissive "Telegram CRM from GitHub" barely exists — we sell a custom build on an MIT stack, not someone else’s repository; twenty (AGPL), personalCRMbot (no licence) — reference only.
+ €99/mo
Indicative "from" prices, VAT (IVA) not included. Model: one-off setup + support subscription.
How you manage clients and deals today.
5–7 days: bot + backend + pipeline.
Real clients and deals in the pipeline.
The team works in the Telegram CRM.
Support, reminders, improvements.
We run the pipeline on real deals, tune the reminders and train the team.
Timeline ~1.5 weeks.
A by-chapter estimate with correct VAT and PEM/PEC in minutes — in your own Excel template.
Replies in minutes in the client’s language, qualifies the lead, creates a CRM card, and won’t let the quote go cold.
Schedule, budget, photo progress and reports — one managed loop. AI prepares, you decide.