Messenger bot development for business
Bots wired into the business process: order intake, payments, CRM and accounting integration, operator roles and an admin panel, AI answers from your own knowledge base.
- What we build
- A messenger bot wired into the business process: requests, payments, CRM, AI answers.
- Who for
- Companies where a messenger is the main channel with customers or partners.
- Stack
- Python with aiogram, FastAPI, PostgreSQL, Redis, CRM and accounting integrations, payments.
- Timeline
- MVP in three to five weeks, production in two to three months.
- → Requests arrive in a messenger while the team works in the CRM
- → You need a sales or support bot with real scenarios
- → Payment has to happen inside the bot
- → Users expect answers around the clock and there are not enough operators
- → A bot with multi-scenario dialogue and buttons
- → A mini app — a user portal inside the messenger
- → Integration with CRM, accounting and spreadsheets
- → Payment acceptance
- → An admin panel, funnel analytics, operator roles
- → AI answers from the knowledge base with human fallback
- 01 Discovery: dialogue scenarios, the funnel, the integrations
- 02 An MVP bot with the key scenario and the CRM connection
- 03 Expansion: payments, AI answers, analytics, operator training
Custom development earns its place where your processes matter.
Ready-made SaaS is good for standard scenarios. But once the business logic depends on specific roles, documents, integrations, security or data, the cost of the workarounds quickly exceeds the cost of a proper architecture.
We start with discovery, separating what genuinely has to be built from what is cheaper to cover with an existing service. That is why the project ends up smaller, clearer and easier to run.
Similar problems from the portfolio.
Common questions
What does a turnkey bot cost?
How long does it take?
Can payments happen inside the messenger?
How does a bot answer around the clock without embarrassing us?
Do you build mini apps?
How do we measure the effect?
What about no-code bot platforms?
Who owns the bot afterwards?
Let us go through your problem.
We will show you a possible architecture, the risks, the order of the budget and what an MVP could prove.
Discuss a project