AIX

AIX Technologies was losing high-intent inbound leads across WhatsApp and Instagram Direct. With response times averaging over 4 hours, qualification was inconsistent and drop-off during peak commercial windows was severe. The team needed a system that could engage the moment intent surfaced, qualify in natural conversation, and only hand off to a human when deal value justified the cost.

The existing stack could not keep up: generic chatbot flows failed on multi-intent messages, product catalog queries were unsatisfiable, and slot booking required human intervention on every step.

RunThrou engineered an enterprise-grade autonomous sales agent on top of the WhatsApp Cloud API and Instagram Direct. The architecture combined multi-intent classification, a custom product catalog query layer, instant slot booking, and zero-latency failover to human operators when deal-value thresholds were detected.

Under the hood: NLU intent classification, prompt orchestration pipelines, a multi-turn context hub, and webhook-driven CRM auto-sync. Every conversation flows through a routing layer that decides in milliseconds whether the agent continues, escalates, or closes.

Production rollout was completed in 3 weeks, with continuous learning loops refining the agent's qualification accuracy week over week.

Within three weeks of going live, AIX's autonomous agents were qualifying more leads than the human team had in any prior quarter. Sales reps now focus exclusively on warm, high-value conversations handed off by the agent — with full context attached.

What started as a single-channel WhatsApp deployment is now expanding to multi-market rollouts, with the same architecture reused across new geographies and product lines.