Copilot: Continuous Agent Improvement

Copilot is our AI agent for building AI agents. Create, test, deploy, monitor, and improve your Regal AI agents faster by managing an agent instead of going through workflows yourself.

Here's what that process looks like for an insurance support agent handling calls about policy questions, claims status, and billing:

Build: Instead of writing prompts from scratch, you drop in a call recording or existing script from your insurance support team. Copilot generates a complete first draft, including industry-specific actions for claims lookup, guardrails around coverage advice, and an agent style and tone customized for policyholders with urgent questions.

Test: Copilot generates tests that simulate the calls your insurance agent will actually face: a customer disputing a denied claim, confused about their deductible, or who keeps interrupting. It flags failures, explains why they happened, and recommends specific fixes before a single live call is made. For example, Copilot identifies that the agent gives generic and repetitive answers to claim disputes; it suggests updated prompts that acknowledge the customer’s frustration and clearly explain next steps based on their policy. In turn, you can go to market with an agent that has already been stress-tested across a range of customer personas and call scenarios.

Deploy: Copilot builds the orchestration flows, including outbound journeys, inbound IVR routing, and handoff logic needed to get your insurance agent live inside Regal. This eliminates manual configuration work and hand-off coordination.

Monitor: Once live, Copilot tracks real calls and surfaces patterns your team would never catch manually: frequent interruptions when the agent explains claim timelines, drop-offs during the billing verification step, repeated caller confusion around the word "deductible." It flags these automatically so nothing slips through.

Copilot also pairs each issue with its measurable impact: showing how it affects sentiment, conversion, and containment. So when you approve a suggested improvement, you know it’s not just better in theory, it’s a change that will move the needle.

Improve: Copilot analyzes performance signals and proposes targeted fixes, like adding an interruption resolution rule for the claims timeline section, or refining deductible explanations. Your team can review and approve the change in one click, with updates deployed automatically, so your agent improves without anyone needing to dig through call logs.

Every step of the loop runs faster, with less manual work. And when you build your next agent, such as an outbound renewal reminder agent, Copilot references your insurance support agent's configuration, tone, and performance to keep every customer touchpoint consistent and on brand.

Agent Improvement, Built Into Every Launch

Copilot never stops working even after you go live. Most teams ship an agent and then reactively patch issues as they surface. Copilot turns that reactive cycle into a proactive one: automatically surfacing what's breaking, explaining why, and proposing what and how to fix the issue.

Every iteration is informed by real customer conversations, not guesswork.

Copilot is the backbone of a continuous improvement loop for your agents. It connects your build process to your testing, your deployment to your monitoring, and your monitoring back to faster improvements. The result is agents that don't just launch stronger, but get measurably better over time without your team having to start from scratch every time something changes.

For your team, this means you can run more experiments, with no capacity constraints, and every call automatically analyzed . You can get faster signals on messaging, objections, and what's actually resonating with your customer base, and drive better business outcomes with every conversation.