CRM

Migrate your Regal.io data

Event-driven voice AI agent platform for enterprise CX, handling outbound/inbound calls, SMS, and automated customer journeys. Contacts and behavioral events are the core data model.

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In its favor

Why people choose Regal.io

The signal that keeps Regal.io on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Teams with high-volume outbound sales or support operations choose Regal for its 300 req/sec API throughput, enabling real-time event-driven contact updates without batching delays.

Companies migrating from legacy power dialers pick Regal because it eliminates outbound abandon rates and spam flagging — the AI Agent model routes calls without machine-rotation that carriers penalize.

Operations leaders at insurance, healthcare, and fintech companies choose Regal for its native AI Agent handoff logic, which transfers complex calls to human agents mid-conversation without losing context.

Marketers running event-triggered customer journeys choose Regal over generic CCaaS tools because the unified Contact-Event profile enables personalized, real-time outreach across voice, SMS, and email.

Teams already invested in Segment, HubSpot, or Braze choose Regal because the CDP-native integrations allow a same-day setup without engineering involvement.

Pricing opacity frustrates teams during renewal negotiations — Regal does not publish public pricing tiers, and quotes vary significantly based on call volume commitments.

Teams requiring deep telephony analytics report that Regal's reporting dashboard lacks the drill-down granularity needed for per-agent or per-campaign revenue attribution.

Scaling to multi-region inbound operations exposes limitations in Regal's agent desktop compared to full CCaaS platforms that offer broader workforce management features.

Reasons to switch

Why people leave Regal.io

The recurring reasons buyers give for replacing Regal.io. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Regal.io fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Event-based contact model with 300 req/sec API throughput for real-time, high-volume data streaming.Native AI Agent runtime with smooth handoff to human agents, eliminating power-dialer spam issues.CDP-native integrations with Segment, HubSpot, Salesforce, Braze, and Iterable for same-day onboarding.Journey builder with no-code AI tools for marketers to design event-triggered voice, SMS, and email workflows.97% containment rate and 80% cost-to-serve reduction cited in enterprise case studies.

Weaknesses

No public pricing tiers — requires sales consultation and volume commitments for quotes.AI Agent configurations and scripts are not exportable, requiring full rebuild at destination.Full CCaaS feature set (WFM, multi-region inbound queuing) is narrower than platforms like RingCentral.Call recording and transcript retention is governed by Regal's internal policy, not customer-configurable.Rate limits are generous but undocumented for burst scenarios beyond 300 req/sec.

Where it works

Enterprise B2C companies in regulated industries (insurance, healthcare, fintech) running high-volume outbound sales or support operations that require compliance-grade AI Agent handling.Teams already invested in Segment, HubSpot, Salesforce, Braze, or Iterable seeking same-day voice and SMS automation without engineering resources.Operations leaders moving off power dialers who need to eliminate outbound abandon rates and carrier spam flags without rebuilding their contact workflows.Marketers at mid-size companies wanting to build event-triggered voice, SMS, and email journeys using no-code tools without developer involvement.Consumer businesses requiring 24/7 inbound call handling where AI Agents can deflect volume and hand off complex cases to human agents with full context.

Where it struggles

Contact center teams requiring granular telephony analytics with drill-down into per-agent or per-campaign revenue attribution for compensation decisions.Multi-region inbound operations needing full workforce management features such as queuing, scheduling optimization, or skills-based routing across geographies.Organizations with strict data governance requirements that demand customer-configurable call recording retention policies or on-premises data storage options.Companies requiring predictable per-seat or self-service pricing without sales consultation and volume commitment negotiations for renewals.Teams running burst scenarios or time-sensitive integrations that exceed 300 requests per second and lack documentation for handling overflow traffic.

Pricing tiers

Regal.io pricing overview

Regal does not publish public pricing. All tiers require a sales consultation, and quotes are based on committed call volume, contact counts, and AI Agent complexity. There is no free tier or self-serve trial indicated in the research.

Enterprise

Tier 1 of 3

Custom (sales quote)

What's included

Volume-based call and SMS pricingDedicated account managerAI Agent deployment and optimization supportCustom integrations and API rate limit negotiation

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Pricing is informational. FlitStack AI does not bill on Regal.io's schedule — see our quote-based pricing →

What gets migrated

Regal.io object support

Object-by-object support for Regal.io migrations. Per-pair details surface during scoping.

Contacts

Fully supported

Contacts are the primary entity in Regal — anyone marked 'contactable' with a phone number. The API creates or updates a Contact in a single POST to the /events endpoint. We preserve all standard attributes (phone, email, name, custom fields) and flag contacts that lack required contactability data.

Contact Attributes

Mapping required

Custom profile fields stored on Contacts vary by tenant. We extract the full attribute schema from Regal's API before migration and map each attribute to the destination's equivalent custom field, applying type coercion (date formats, multi-select handling) as needed.

Events

Fully supported

Behavioral events are first-class objects in Regal's event-stream model. Each event has a type, timestamp, properties, and an associated Contact. We export the full event history and preserve Event Properties as structured key-value pairs in the destination system.

Journeys

Mapping required

Journeys are Regal's workflow engine — conditional, event-triggered sequences of voice, SMS, and email steps. We document Journey logic as step-by-step conditional rules so they can be reconstructed in the destination platform's equivalent (e.g., HubSpot workflows, Braze Canvas, Iterable). Active in-progress journeys require a go-live coordination window.

Campaigns

Mapping required

Campaigns define outbound programs (list selection, cadence, goal). We map Campaign membership and goal metrics but note that cadence and list-refresh logic is platform-specific and may require manual reconfiguration in the destination.

AI Agents

Not in this platform

AI Agent configurations — voice scripts, decision trees, persona settings — are tied to Regal's proprietary agent runtime and are not exportable. Agent logic is rebuilt at the destination. We migrate the conversation outcome data and call transcripts separately.

Call Transcripts and Recordings

Mapping required

Call transcripts and recordings live in Regal's media storage. We support export of available transcripts as structured text; audio file availability depends on Regal's retention settings at time of export.

SMS and Email Threads

Mapping required

Conversational history (SMS and email) is associated with Contact records. We extract thread-level data and reassociate it with the Contact in the destination, noting that thread continuity in the destination UI depends on that platform's threading model.

Integrations (CDP/CRM connections)

Mapping required

Regal's live integrations with Segment, HubSpot, Salesforce, Braze, and others define which contacts are synced and how. We document active integration endpoints so the migration plan includes re-establishing equivalent feeds at the destination.

Branded Caller ID

Mapping required

Regal supports branded caller ID (CNAM) configuration per campaign. We export the carrier registration details and domain ownership records so these can be re-registered in the destination telephony platform.

Gotchas

What to watch for in Regal.io migrations

Issues we've hit on past Regal.io migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Regal API is a single-events endpoint

High

AI Agent scripts and decision trees are non-exportable

Medium

No public pricing or documented tier limits

Medium

Contact contactability status is phone-number-dependent

How a Regal.io migration works

Four steps, Regal.io-specific

Connect

API key via Authorization header into Regal.io. Scopes limited to read-only on the data we move.

Map

We translate Regal.io-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Regal.io quirks before production.

Migrate

Full migration with Regal.io rate-limit handling. Rollback available throughout.

FAQ

Regal.io migration FAQ

Answers to the questions buyers ask most during Regal.io migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Regal.io migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most Regal.io migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

Ready when you are

Migrate Regal.io.
Without the rebuild.

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