Architecture
System boundaries, contracts and scale paths are explicit before complexity grows.
Publication transparency: this page is a reference architecture / product concept used to demonstrate engineering approach. It is not represented as a named client engagement.
Project snapshot
- Type
- AI sales assistant
- Scope
- AI sales automation
- Technology
- OpenAI, CRM, n8n, WhatsApp
- Publication
- Reference architecture
Context and challenge
Sales teams lose context and time across scattered conversations.
Engineering response
The assistant consolidated lead context and generated reviewable recommendations.
Architecture intent
The system is designed around clear boundaries, maintainability, user experience and integration resilience so future capabilities can be added without unnecessary coupling or early rewrites.
Key capabilities
- Lead summaries
- Suggested replies
- Next-best action
- CRM context
- Human approval
Design objectives
- Faster follow-up
- More consistent replies
- Better lead visibility
Security
Validation, authorization, secret handling and least-privilege are design concerns, not launch add-ons.
Reliability
Timeouts, retries, idempotency, logging and recovery are engineered into integrations.
Delivery
Testing, CI/CD, environments and observability are part of the delivery contract.
