Client
A software development company delivering custom software and AI solutions for global clients. The project also serves as a reference implementation of GenAI-powered sales automation WEZOM builds for its clients.
ObjectiveAutomate the first stage of inbound lead qualification using GenAI, reduce manual sales workload, and provide sales teams with structured, CRM-ready project briefs generated directly from client conversations.
Location:
Development time:
Cooperation period:
Services used
Project Team
Work approach
Agent-style conversation design
Controlled GenAI usage
Business-first logic
Client-ready architecture
Agent-style conversation design
The chatbot was designed as a task-oriented AI agent rather than a generic chat interface. It follows a predefined, stage-based qualification flow with clear goals at each step.
Controlled GenAI usage
Instead of open-ended responses, the AI operates within restricted prompts, validates user inputs, and confirms collected data before generating the final output.
Business-first logic
Questions are dynamically adapted based on project context, ensuring relevant data collection without overloading the user.
Client-ready architecture
The same approach is used in WEZOM’s client projects, where GenAI agents automate sales, support, and internal workflows while maintaining predictability and control.
Technical architecture
AI & GenAI layer
Backend & orchestration
Infrastructure
Integrations
AI & GenAI layer
- Prompted LLM API with controlled outputs
- Stage-based dialogue orchestration
- Structured JSON generation for downstream systems
Backend & orchestration
- Python-based backend
- Aiogram for conversational flow management
Infrastructure
- Cloud-based conversational AI service
- Stateless interaction handling for scalability
Integrations
- HubSpot CRM (contacts and deals)
- Optional Google Sheets logging
Results
Operational efficiency
Data quality & sales impact
Scalability
Operational efficiency
- Up to 40–60% reduction in lead qualification time
- Faster first response to inbound requests
- Reduced manual work for sales teams
Data quality & sales impact
- Consistently structured project briefs
- Improved CRM data accuracy
- Higher lead quality and conversion rates
Scalability
- Ready to extend to additional messengers
- Multi-language support
- Foundation for client-facing GenAI agents in sales and operations
