
September 2023 Releases
October’s releases give you deeper structure and insight across your AI operations—from designing predictable, multi-state conversation flows and delivering seamless human handoffs to uncovering performance insights and strengthening your agents’ knowledge for continuous improvement.

Customer conversations are rarely linear—they branch, loop, and pivot. In complex lead qualification or customer support flows, relying on a single, bloated prompt quickly breaks down: the agent becomes unpredictable, updates are error-prone, and maintenance becomes unmanageable. With Regal’s new Multi-State Agent Builder, you can finally design, control, and scale multi-turn flows with structure and precision.
Use the Multi-State Builder to:
For early access to the Multi-State Builder, reach out to your Customer Success Manager.

Access data-driven insights revealing where your AI Agent’s knowledge is strong—and where it needs improvement—with Regal Improve’s Knowledge Base Coverage dashboard. Each topic is analyzed and grouped into high, medium, or low tiers based on retrieval quality and response accuracy, with every transcript moment scored and aggregated by topic. Drill down to view detailed scores, listen to relevant call recordings, and prioritize updates that most improve context, accuracy, and overall conversation quality and outcomes.
For early access to Regal Improve’s Knowledge Base Coverage dashboard, reach out to your Customer Success Manager.

From escalating a complex support case to connecting a qualified lead with a specialist, Regal now supports native warm transfers so AI Agents can hand off calls to humans with full context. Customize every stage of the handoff, including when the transfer should occur, what the AI agent says before and during connection, and the summary details it provides once the human agent joins.

Regal Improve’s Conversation Insights and Transcription Search dashboards are now generally available, giving you deeper visibility into how your AI Agents perform at scale by topic, question, and objection. Once sufficient call volume is reached, Conversation Insights are generated automatically to surface recurring and underperforming themes so you can focus QA and refinement on updates that actually move the needle. From there, Transcription Search lets you drill into any topic using semantic matching to instantly locate relevant conversation moments, making it easier to diagnose issues, assess agent behavior, and measure improvement at scale.

Set up or modify Call Restrictions—like daily contactable hours, holidays, call attempts limits, and states of emergency—directly in Regal. Respond faster to operational changes and maintain compliance with complete control.

Agents can now sort contacts in their custom lists by key indicators of value, making it easy to focus on the highest-priority leads first. Sort by any RegalVoice attribute—such as lead score, last_contacted_at date, or spend—to surface the most relevant contacts instantly and drive more efficient, outcome-focused outreach.
Deploy Regal’s AI Agents to your site via an embeddable widget that supports omnichannel conversations across chat and WebRTC voice, enabling customers to engage where they are without dialing.
Align AI dialing speed with available transfer agent capacity to ensure every handoff happens smoothly, creating a frictionless customer experience and minimizing abandons.
Monitor latency and function call errors at the turn level to pinpoint performance bottlenecks and ensure consistent, high-quality conversations.
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