How to Use SIP Headers in Regal to Route and Personalize AI Voice Calls

Written by:

Reviewed by: Regal Product Team

Published

Jun 23, 2025

•

Last updated

Mar 17, 2026

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5 min read

In our article on How to Use SIP (Session Initiation Protocol) we explain why SIP and SIP trunking are so valuable for enterprise Voice AI—it lets you connect Regal without changing your existing telephony infrastructure.

This usually comes up in one of two scenarios:

(1) You already have numbers, campaigns, and reporting set up with a telephony provider, and want to leverage Regal’s AI Agents on top of that setup.

(2) Your human agents operate in a third-party CCaaS platform, and you need Regal’s AI Agents to transfer calls to them seamlessly.

Here, we'll get more specific, giving tactical guidance on selecting and setting up SIP headers—why they matter, what you can do with them, and how to easily put them to use in Regal.

We’ll show how SIP headers can:

Drive routing decisions using metadata like call type, region, or campaign
Personalize conversations by injecting customer, product, or segment info
Send enriched context to other systems during cold/warm transfers

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Here’s how to scope and apply SIP headers inside Regal to unlock more intelligent, context-aware voice automation.

What are SIP headers?

SIP headers are pieces of contextual metadata—like customer ID, campaign source, or call type—that travel with a call as part of the SIP signaling layer.

In other words, it’s a way to pass metadata back and forth between calling systems.

Why SIP Headers Matter

You can pass structured data into Regal to personalize and route calls in real time, and pass data back out to downstream telephony/CCaaS/contact center systems at the end of the call.

This allows Regal to power, personalize, and intelligently route AI Agent calls for any platform that supports SIP (which all big players do) with minimal setup.

No backend API calls, no CRM polling, and no data stitching post-call.

Why not just use PSTN?

Traditional phone networks (PSTN) can connect a call, but they can’t carry any context. There’s no way to pass metadata.

That means you’d have to rely on backend APIs or database lookups to share data between systems, which often happens after the fact—adding latency and complexity.

SIP headers are the simplest way to inject and extract context in real time.

Setting Up and Managing SIP Headers in Regal

Sending SIP Headers to Regal

Your telephony provider likely gives you two main options for sending SIP calls to Regal:

SIP Trunking: Configure a SIP trunk within your provider, and point your numbers to that trunk.
SIP URI Dialing: If your provider supports direct SIP dialing, you can point calls straight to Regal’s SIP endpoint.

Once Regal receives a SIP INVITE, we automatically extract the header data and make it actionable within our platform.

This data can be used to:

Dynamically route calls to the right AI Agent using fields like call type, zip code, priority, etc.
Personalize prompts based on campaign, product, or segment
Share context with downstream systems on transfer (like NICE or Ringba), so they know what happened earlier in the call
Enrich contact records by mapping header values to custom contact properties for use across future sessions
Tag and report on calls based on header metadata like campaign source, call type, or geographic region

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Where do you manage incoming SIP headers in Regal?

Once in Regal, you’ll be able to see and leverage the data from these headers in the Unified Customer Profile by mapping to custom properties, the Agent Desktop (if the call is escalated to a human), and the Journey Builder to apply routing logic based on header values.

**Receiving SIP Headers from Regal**

When a Regal AI Agent transfers a call, you can configure whether to make a:

Cold transfer (SIP REFER): The call is handed off and Regal’s AI agent disconnects immediately.
Warm transfer (new SIP INVITE): Regal creates a new call leg to the transfer destination and the AI agent remains in the session until manually disconnected. For a seamless customer experience, you can configure the AI agents to continue speaking while the transfer is taking place.

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In either case, Regal can send custom SIP headers with the transfer.

This gives everything downstream—whether it’s a human agent, a third-party system, or your CCaaS platform—access to rich context without having to rely on webhook events, real-time API calls, or CRM lookups.

It shortens handoffs, improves reporting, and ensures the next system in the chain is never starting from scratch.

What kind of data can be sent on transfer?

You can pass back key context from the AI conversation in real time—for example:

The outcome of the interaction (e.g., whether the lead was qualified or not)
The intent detected by the AI Agent (e.g., billing, cancellation, pricing inquiry)
Which agent or queue initiated the transfer
A short summary of what happened during the call

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Where do you manage outgoing SIP headers in Regal?

Outgoing SIP headers are configured via the Transfer Phonebook, where you’re able to inject context from calls like disposition, detected intent, customer segment, and much more.

First, you’ll add a “New External Transfer Number,” where you enter a number, add SIP as the integration type, and add a SIP URL endpoint.

This information is structured using the simple header syntax of:

X-<property_name>: "<value>"

For example: X-Intent-Detected: "cancel."

Ready to get started? Check out our step-by-step docs.

Real-World Examples

1. Routing with SIP Headers

Let’s say your telephony platform sends the following SIP header with an incoming call: X-Call-Type: support.You can use this header to route the call to an AI Support Agent.

If X-Call-Type = support → assign to Support AI Agent
If X-Call-Type = sales → assign to Sales AI Agent
If X-Call-Type = billing → assign to Billing AI Agent

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You can use this tactic to further personalize your reachout by creating and targeting tailored AI agents for specific segments of leads – by source, priority, geography, and any other dynamic attributes – to drive better call outcomes..

You can personalize conversations by:

Using different AI Agents for different segments: This is helpful when you’re addressing multiple use cases or product lines, or when you want the Agent’s tone to reflect the audience—for example, pairing a younger contact segment with a more casual-sounding Agent, or routing VIP leads to your most polished pitch.
Personalizing the conversation logic within the prompt: Using the SIP header data, you can control what the Agent says based on real-time attributes.

For instance:
- If X-Age-Group = GenZ, the Agent might say: “Let’s keep this quick—just need a few details to get started.”
- If X-Region = Florida, the Agent might reference local service options or operating hours.

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This gives you flexibility to either design multiple specialized Agents—or keep one Agent that dynamically adapts—depending on the complexity of your routing needs.

2. Personalizing Conversations with SIP Headers

Now, let’s say a Health Insurance provider gets an inbound billing inquiry from an existing policyholder. With the call, they might send SIP headers to Regal such as:

X-User-Id: 0072g000066blDFHHY
X-Product-Type: hsa
X-Account-Number: 4081209
X-Zip-Code: 10018
X-Call-Type: billing

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Within Regal, you can personalize AI Voice interactions based on all of these headers.

So instead of just, “Press 3 for billing and payment,” interactions sound more like, “Hi Phil, I see you have a billing question about your HSA account. Do you need help adding new funds or setting up a monthly contribution?”

3. Sending Enriched Context During a Live Transfer

Imagine you have a Regal AI Voice Agent that qualifies a high-value lead during a call, then transfers the conversation to a live agent (via your existing CCaaS platform).

To provide real-time context as part of a warm transfer, you could set up these SIP headers in Regal:

X-Agent-Outcome: qualified
X-Intent-Detected: loan application
X-Transfer-From: olivia-06
X-Summary: Eligible for $25k personal loan, requested same-day funding

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Your CCaaS platform receives these headers alongside the call, allowing the human agent to see this context as they join the call (no 30-60 second delay waiting on API calls).

Recommended SIP Headers by Use Case

SIP headers work best when they’re concise, consistent, and relevant to the task at hand. Choose SIP headers based on what Regal should know before any call starts, or what Regal will need to pass to your third-party platform (in the case of a transfer).

Headers should be scoped to:

Identify the caller (contact ID, session ID)
Describe the intent or context (campaign, call type)
Influence routing (segment, region, priority)

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Recommendation: Start with 2–3 headers and expand as needed. Overloading headers can make routing harder to manage and test. Keep values standardized and easily readable in logs.

The Most Common SIP Headers

SIP Headers You Should Always Use

These establish identity and attribution across calls, serving as baseline personalization that you’ll want to meet in every interaction.

X-Contact-ID: Unique CRM or contact record identifier
X-Campaign-ID: Source campaign or marketing workflow
User-to-User: Optional hex-encoded session/account ID

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Headers for Lead Qualification

These headers help segment, prioritize, and route leads based on source, location, or campaign—ensuring the right agents handle each type of inquiry (with speed) from the start.

X-Lead-Source: Platform or partner (e.g., Google, Meta)
X-Zip-Code: Region-based routing or compliance enforcement
X-Call-Type: Intent classification (e.g., “auto quote”, “life insurance”)

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Headers for Appointment Scheduling

These headers preserve scheduling context across systems, enabling Regal to confirm or update appointment details without needing a CRM sync mid-call.

X-Appointment-Type: E.g., “demo”, “consultation”
X-Preferred-Time: Desired appointment window
X-Contact-ID: Match with existing contact records

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Headers for Inbound Lead Capture

These help track attribution, connect inbound calls to marketing campaigns, and drive accurate reporting and follow-up by capturing how the lead arrived.

X-Campaign-ID: Tracks source
X-Tracking-ID: External analytics or ad platform reference
X-Region: Geo-routing or localized offers

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Headers for Inbound Support

These enable the AI Agent to triage and prioritize support issues—ensuring the right path is triggered (and personalized) based on customer type, issue category, or urgency.

X-Account-ID: Customer lookup
X-Issue-Type: E.g., “billing”, “technical”
X-Priority: “High”, “Normal”, or “VIP”

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Headers for Payment and Collections

These headers give Regal the context needed to attempt payment resolution on the spot or escalate efficiently, without asking the customer to repeat details.

X-Balance-Due: Current outstanding amount
X-Payment-Status: “Unpaid”, “Partial”, “Disputed”, etc.
X-Contact-ID: Secure customer lookup

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Headers for Confirmation & Follow-Up

These support multi-step workflows by maintaining continuity across calls—allowing Regal to follow up, confirm, or finalize a task with context already in hand.

X-Reference-ID: What’s being confirmed (e.g., quote, order)
X-Previous-Outcome: “Awaiting signature”, “Incomplete form”
X-Contact-ID: Ensure session continuity

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Real-Time Context, No Extra Infra

Regal’s SIP integration allows you to plug Voice AI Agents directly into your existing telephony system in a way that’s fast and simple.

As a part of that, SIP headers help turn your contact center voice traffic into structured, decision-ready data flows.

They let you route based on who’s calling and why, personalize the conversation based on metadata you already have, and hand off cleanly to downstream systems with full context intact.

Because Regal integrates at the SIP layer, we work with the stack you already have.

And with SIP headers in place, you unlock the ability to make every call smarter, more targeted, and easier to manage.

Talk with a Regal AI expert to learn more about SIP trunking and SIP headers.

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Frequently Asked Questions

What are SIP headers and how do they help Regal handle calls?

SIP headers are contextual metadata (like customer ID, campaign, or call type) carried in SIP signaling. Regal uses them to route calls, personalize AI prompts, and share context with other systems in real time without extra API calls.

How do I send SIP headers into Regal from my telephony setup?

Use SIP trunking or direct SIP URI dialing to point calls to Regal. When Regal receives the SIP INVITE, it automatically extracts the headers and makes them available for routing, personalization, and reporting.

Which types of header fields should I include for effective routing and personalization?

Include identifiers (contact or session ID), intent/context (campaign, call type), and routing cues (segment, region, priority). Start with 2–3 standardized headers and expand as needed to keep logic easy to manage.

What can Regal do with inbound SIP header data once a call arrives?

Regal can assign the right AI Agent (e.g., based on X-Call-Type), tailor conversation logic to attributes like product or region, enrich contact properties, tag/report by campaign, and forward context during transfers.

How does Regal pass SIP headers when transferring a call to another system or agent?

For cold transfers (SIP REFER) or warm transfers (new SIP INVITE), Regal can include custom headers so downstream platforms get real-time context. In warm transfers, the AI Agent stays on the line and can continue speaking until disconnected.

Founded in 2020, Regal is an enterprise voice AI agent platform for contact centers. Regal helps businesses build, deploy, and manage autonomous AI agents across sales, support, and operations teams.

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Regal’s Conversation Intelligence drives higher conversion rates for B2C sales teams. We use both the traditional QA/coaching tools, and brand new conversational triggers that allow you to update customer profiles and send automated follow up messages based on what is said in a conversation.

Announcement: Regal SMS Suite

Regal’s SMS Suite allows brands to actually drive revenue from SMS. Drive cross-channel engagement using our comprehensive Triggered & Scheduled SMS Journeys (aka SMS Marketing), 1:1 SMS Conversations (aka 2-Way SMS), and AI SMS Bot.

Announcement: Regal Segment Builder

Regal’s powerful, no-code Segment Builder enables any business user to segment, target, suppress, and send blasts of cross-channel communications (SMS, calls or webhooks) to their customers – all based on a real-time unified customer profile.

Friends don’t let friends buy CCaaS

Learn when event-driven sales systems like Regal will disrupt the $40B Contact Center Software and CCaaS industry, by improving customer experience and increasing revenue.

Meet Regal Call Branding™: Branded Caller ID for 400M+ US Devices

We are excited to announce Regal Call Branding™ including Branded Caller ID. Available on all 400M wireless devices in the US (as well as most of Canada and the UK), Regal Call Branding™ puts you in control of what people see when you call their cell phone – including showing your brand and/or logo.

Q&A with Perry Health’s Scott Chesrown

Get behind-the-scenes insights about Perry Health’s 23% revenue increase with Regal.io. Perry Health’s Scott Chesrown sat down with Regal.io and discussed how they implemented outbound sales technology, integrated new capabilities into their process, and built on their early success.

Drive More Contact Center Revenue With These 6 Holiday Tips

It’s the holiday season and you’d like to hit your December revenue goals. Outbound B2C sales during the holidays can be a major performance driver – if you're prepared and you have the right tools in place. Use these seven tips to get your outbound B2C sales in shape for holiday success.

Regal.io Raises $38.5M in Series A Funding

Today we are excited to announce that based on the success our customers are seeing using Regal.io, we have raised $38.5 million in Series A funding led by Emergence Capital to continue to invest in our teams and products.

Announcing our Integration with mParticle

Our integration with mParticle enables you to create a unified customer profile and connect other first party customer data.

What is a Journey Builder?: A Complete Guide

Say goodbye to batch processing, complicated SQL queries or custom engineering to decide who to call. Journey builders help B2C create more timely, relevant and personalized outreach to customers.

Goodbye Regal Voice, Hello Regal.io

Friends and supporters, We are excited to announce our updated branding and website. It better captures what we stand for.

Announcing our Integration with Twilio Segment

We are excited to announce our integration with Twilio Segment, allowing you to seamlessly connect your first-party customer data with Regal.io and 200+ other integrated tools.

Milestone: $1 Billion Revenue Driven for Our Customers

We are thrilled to announce that Regal.io has driven over 20M conversations between our customers and their end users, leading to $1 billion in revenue driven to date.

The RAG Playbook: Structuring Scalable Knowledge Bases for Reliable AI Agents

Learn how to structure a knowledge base that keeps AI Agents accurate and on-script. Discover why human-style KBs fail, and apply best practices like single-topic chunking, concrete instructions, and explicit outcomes to reduce hallucinations and scale reliable RAG performance.

How to Use SIP to Integrate Regal Voice AI Agents with your Contact Center Software

Learn how SIP integration enables enterprises to connect Regal Voice AI Agents to existing CCaaS platforms, pass call context in real time, and deploy voice AI without infrastructure changes.

Demystifying AMD: How Answering Machine Detection Really Works

Regal's advanced AMD algorithm uses multiple factors to determine if a human answers your call. Learn more about the different techniques available.

February 2026 Releases

In February, we made AI agents sound and feel more natural, even when handling complex, multi-step conversations with conditional logic. These updates give you the control to build AI agents that don't just follow a script: they adapt, respond, and engage naturally with each customer.

The Future of Voice AI in 2026: What the Data Is Telling Us

The Regal team discusses new research on where Voice AI agents are headed, and why this transformation is far bigger than just cutting costs.

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