
September 2023 Releases
“How do I integrate Regal voice AI Agents with my contact center software / CCaaS / telephony stack?”
Great question.
Regal voice AI Agents integrate with any contact center software (ie. NICE, Genesys, Five9, AWS Connect, etc) so you never need to rip and replace your existing software.
Most often, customers use SIP (Session Initiation Protocol) to integrate Regal with their contact center software with Regal’s AI Voice Agents.
You can use SIP to route inbound calls from your system to Regal AI Agents. And you can use SIP to allow outbound calls from your system to be handled by Regal AI Agents.
And because it’s a universal protocol not an API, there is no custom integration. No need to rebuild your carrier routing, no custom backend code, no platform migration. SIP is the bridge.
Let’s break down how it works and why it matters.
SIP (Session Initiation Protocol) or SIP Trunking is a signaling protocol used to establish and control real-time voice sessions.
It initiates calls, negotiates session parameters (like codec and port), and terminates connections.
While SIP handles the signaling, the actual voice data flows through RTP (Real-Time Transport Protocol) or its encrypted counterpart, SRTP.
SIP is widely adopted in CCaaS and VoIP systems because it provides a straightforward and stable way to connect AI Voice Agents to existing telephony infrastructure—no new phone system, no backend API integration, and no changes to carrier relationships.
For a speedy integration, it’s important that there is an easy way to have inbound or outbound calls in your contact center software routed to Regal AI Agents.
SIP provides the signaling layer to make this possible.
Using SIP, calls can be routed to Regal from your existing CCaaS platform, PBX, or carrier—no need to change providers or re-architect infrastructure.
Regal serves as the system architecture around the signaling layer: receiving SIP sessions, managing AI Agent logic, and returning control when needed. We use standard SIP protocols and interoperable signaling, so our platform can connect with any system capable of initiating a SIP call to a defined endpoint.
Once the call is connected (and an inbound SIP is received), Regal takes over the interaction—parsing metadata from SIP headers and using it to inform real-time decisions and personalization inside the conversation.
Regal's AI Agent communicates with an LLM and, when needed, fetches or writes data from your connected systems (like a CRM or scheduling engine).
When the call ends (or if the Agent transfers it), Regal can send structured updates back into your stack via outbound SIP headers or through parallel data integrations. This makes the entire flow—from call setup to disposition—context-aware and infrastructure-friendly.
Regal accepts inbound SIP traffic from providers like:
We handle provisioning, authentication setup, firewall configuration, header mapping, and test validation—removing the need for deep SIP expertise on your side.
Set up typically takes a matter of minutes. Once connected, SIP calls route to Regal’s AI Agents like any other inbound session—only with the added flexibility, context-passing, and automation that SIP makes possible.
One of the most valuable aspects of SIP trunking for AI voice is the ability to pass structured metadata directly within the SIP signaling layer, without needing an API call, database query, or external integration.
Headers allow your systems to send context into Regal, and Regal to return enriched data back to you—all within the call flow itself.
At call initiation, your CCaaS platform, carrier, or PBX can include custom SIP headers to pass metadata that Regal uses to drive routing logic, personalize AI Agent prompts, inform escalation rules, and populate the agent UI if the call is transferred to a human.
When Regal’s AI Agent transfers a call—via SIP REFER or warm SIP handoff—we can send back a full set of headers that reflect what happened during the AI interaction.
This data allows the receiving system (e.g., NICE, Ringba, or another SIP endpoint) to receive a context-rich INVITE, making the handoff faster and more intelligent—without waiting for webhook ingestion or polling external APIs.
With that, your human agents have real-time updates when a call is transferred, instead of spending 30-60 seconds on each call before your systems update.
The setup process is designed to minimize overhead.
Key components of SIP-based integration include:
When these layers are aligned, SIP becomes a practical, scalable entry point for AI voice—especially in enterprise settings with established telephony infrastructure.
Before starting, we’ll need the following:
Choose between:
Identify which metadata should be passed in headers (e.g., X-Contact-ID, X-Campaign-ID, User-to-User).
Decide whether SRTP (Secure RTP) is required.
Regal supports secure and flexible SIP connectivity that aligns with enterprise networking standards.
We provide all necessary IP and port information up front, and we’ll work directly with your IT or infrastructure team to configure connectivity safely.
Supported security configurations include:
We can assist with firewall rule creation, test-call validation, and SIP trace analysis. Whether you're running in a cloud-native environment or routing through on-prem infrastructure, we’ll help make sure everything routes cleanly and securely.
Regal’s SIP voice infrastructure is designed to meet the compliance and data control standards expected in enterprise environments.
Our platform supports:
We also support data residency and retention controls for customers who need fine-grained data governance.
We’ve designed Regal’s SIP integration and infrastructure to support high-volume, distributed deployments across enterprise use cases.
What we support:
Whether you’re routing a hundred calls per day or tens of thousands per hour, Regal can help you scale safely and intelligently.
We’ll create a new SIP Domain using a branded subdomain that fits your naming conventions. During setup, we’ll configure authentication based on your preference:
This domain will be the entry point for all SIP calls to Regal.
We work with you to determine how calls should be routed once they reach the SIP domain, making sure routing is functional and consistent with your existing call logic.
For IVR-based routing, for example, we configure Twilio Studio to guide the call to the appropriate Regal entry point. This is useful when pre-processing is needed before the AI Agent picks up (e.g., language selection or office hours logic).
We help you define which SIP headers should carry customer context—things like:
X-Contact-ID: 12345
X-Campaign-ID: ABC123
User-to-User: 67890;encoding=hex
We ensure your headers are mapped correctly and automatically injected into the task attributes used by Regal’s routing and prompt logic.
Once routing and headers are configured, we test everything together. We’ll guide you through validating:
We can also assist in reviewing PCAPs or SIP logs for any edge cases.
We recommend starting with low-risk traffic and gradually scaling. Our team will help you:
As performance stabilizes, we’ll assist in expanding scope and applying learnings from early calls.
Visit our full SIP documentation here.
To ensure success and scalability, we recommend the following:
Choose an initial workflow that is high-volume but low-complexity—such as appointment reminders, lead qualification, or overflow handling. Begin with a limited call percentage (e.g. 1–5%) routed to Regal AI Agents.
These use cases help validate real-world performance (latency, containment, customer acceptance) without involving core revenue flows too early.
Once containment and fallback behaviors are verified in production, gradually increase volume. We can configure brand-level throttles to control rollout pacing and isolate segments for testing.
Use Regal’s reporting tools to observe containment and escalation patterns. Track key metrics such as:
Every deployment should include a defined escape hatch:
Regal AI Agents support all of these natively, and we’ll help configure the appropriate thresholds and conditions.
SIP is already embedded in most enterprise voice environments. Instead of rebuilding call routing with new APIs or platforms, SIP lets you route traffic to Regal using existing infrastructure.
It’s fast to deploy, easy to test, and flexible enough to support everything from basic calls to complex multi-party transfers.
If you’re evaluating AI Agents, SIP is often the most direct and least invasive way to get started.
We’re happy to walk you through it. Get started today.
Ready to see Regal in action?
Book a personalized demo.