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Transformed Phone Bot Development: RelayHawk Customer… | SignalWire
Customer Testimonials

Transformed Phone Bot Development: RelayHawk Customer Testimonial

Initially constrained by rigid call flow diagrams and complex backend infrastructure, RelayHawk pivoted to SignalWire’s prompt-based AI system.

From Flowcharts to Flexibility: How SignalWire AI Transformed Phone Bot Development

For developers building intelligent phone systems, speed and flexibility matter just as much as accuracy. When one developer working with answering services and call centers set out to build a smarter AI phone bot, they quickly found that traditional tools—like rigid call flow diagrams—were slowing everything down.

They needed something faster, more adaptable, and built for modern AI workflows. That’s when they found SignalWire AI.

The Problem: Static Call Flows and Infrastructure Overhead

At first, the team relied on standard flowchart-based systems to define call trees. They integrated large language models (LLMs) like OpenAI to help infer caller intent, but still hit roadblocks.

Even with LLMs handling intent recognition, traditional tools required precise workflows and left little room for dynamic, conversational behavior. That structure added complexity—and slowed delivery.

The Shift: Adopting Prompt-Based AI with SignalWire

Once they switched to SignalWire AI, everything changed. Instead of hardcoding every step of a flow, they simply wrote text-based prompts to define how a call should behave.

This prompt-driven model made it easier to:

  • Iterate on bot behavior without reworking flowcharts

  • Improve caller experience with more natural responses

  • Focus on user interaction instead of infrastructure

  • Launch updates faster with fewer technical dependencies

The Developer's Perspective: Let AI Handle the Voice, Let Me Handle the Experience

For RelayHawk, the real value of SignalWire AI was in reducing the friction between idea and implementation.

SignalWire handles the heavy lifting of telephony by offering low-latency, reliable call handling so developers can concentrate on what matters most: the caller experience.


“When my customer comes to me with a problem, I want to get them an answer as fast as possible. I don’t want to be dealing with WebSockets, UDP, or VoIP traffic.”