Case Studies

1. Turning Conversation into Revenue Architecture

Wyzion

B2C Fintech

Most chatbots are designed to deflect customers and cut costs. As a result, they ignore high-value signals (churn risk, upsell intent) because the Chat interface doesn't talk to the CRM.

This case study details how we built an Intelligence Layer that connects the two, moving the system from Stateless Deflection to Stateful Orchestration.

The Shift: From Average Handle Time → Revenue Per Conversation

The Mechanism: A Listen-Decide-Act engine protected by a Financial Firewall.

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2. The Industrialization of Vertical AI

AiDash

Critical Infrastructure & Satellite Intelligence

Scaling Vertical AI can become a trap. If your model is 80% accurate, the remaining 20% often requires so much human review that you accidentally turn into a low-margin service agency.

This case study outlines the architectural playbook we used to scale revenue from $5M to $18M while escaping the Service Trap.

The Shift: From Model Accuracy → System Throughput

The Mechanism: Deterministic Feasibility Gates and "High-Velocity Auditing" workflows.

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