Engineering Challenges of Conversational Systems: Why In-House Builds Fail
Building an omnichannel conversational platform in-house often starts as a seemingly simple project slated for a couple of sprints. However, as the business scales, engineering teams run into harsh realities:
- Messaging Protocol Fragmentation: each channel provider (WhatsApp Cloud API, Telegram Bot API, Instagram Graph API, WebSockets) enforces proprietary payload formats, distinct rate limits, unique media handling quirks, and strict ban policies;
- Unreliable Third-Party Webhooks: during peak traffic bursts or transient network blips, dropped events lead to duplicated orders or unhandled conversational deadlocks;
- LLM and AI Agent Orchestration Bottlenecks: naive prompting fails on multi-step business logic, while integrating AI with relational databases (PostgreSQL), ERPs, and microservices requires bulletproof tool calling protocols;
- Escalating Infrastructure Overhead: maintaining persistent connection pools, distributed message queues, and terabytes of media storage pulls senior engineers away from core product innovation, burning tens of thousands of dollars each month.
The volbor platform is built by engineers, for engineers. We handle low-level messenger protocols, guaranteed queue delivery, and semantic routing out of the box, exposing a clean, strongly typed interface for seamless integration with your backend.


