Christopher Blakey Full Stack Engineer
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Product case study / AI / Contact centers

Regal.aiVoice agents with human handoffs

Connect AI voice agents with customer information and smooth handoffs to human support.

Voice agentsContact centerHuman handoff

Relevant technical skills

  • API integration
  • Async workflows
  • LLM integration
  • Prompt design
  • Response evaluation
  • Error handling
  • Observability
  • Integration testing

These skills describe a proposed engineering approach. They are not a verified list of the company’s internal technologies.

01 / The problem

Context

Regal.ai addresses a connected operational workflow: voice agents and connected contact-center workflows. Teams using this type of platform need consistent context as information moves between systems and people.

02 / The experience

A connected product workflow

This product study focuses on the path from start conversation to hand off context. The central interface challenge is making the next action understandable while preserving the state and evidence behind it.

  1. 01Start conversation
  2. 02Resolve intent
  3. 03Run workflow
  4. 04Hand off context

03 / Technical perspective

Engineering approach

Keep conversation state synchronized with the contact-center record. A handoff should preserve intent, collected fields, and the actions already attempted.

This section outlines a proposed approach, rather than the company’s verified internal implementation.

04 / Reliability

Testing priorities

Exercise interruptions, silence, speech recognition errors, unavailable agents, and dropped calls. Confirm that an interrupted action cannot be executed twice.

05 / Source & attribution

Explore the product

This independent study is based on the company’s public website. The gallery contains imagery sourced from the company’s official website and public product resources. Images belong to their respective owners. This study does not claim a personal role in building the product.

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