CRM migration
Field-level mapping, validation, and rollback between Regal.io and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Regal.io
Source
monday CRM
Destination
Compatibility
5 of 8
objects map 1:1 between Regal.io and monday CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Regal.io to Monday.com CRM is a model transformation, not a record copy. Regal defines its entire data universe around Contacts and behavioral Events that drive AI-Agent-driven Journeys; Monday.com CRM uses a board-and-item architecture where data lives in customizable columns. We extract the full Contact roster with all custom attributes, then restructure the behavioral Event history as column data or linked Items on separate boards so that the campaign-eligible population lands in Monday.com with timeline context intact. The AI Agent runtime is non-exportable and we exclude it from migration scope; we deliver a plain-text inventory of agent logic and Journey trigger conditions so the operations team can rebuild these as Monday.com automations post-migration. Call transcripts, SMS threads, and branded caller ID records migrate as structured text and file attachments. Monday.com's per-seat pricing is published and predictable, removing the pricing opacity that drives teams away from Regal.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Regal.io object lands in monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Regal.io
Contact
monday CRM
Item (Contact board)
1:1Regal Contacts map to Monday.com Items on a dedicated Contact board. We extract every Contact attribute from Regal's API and map each to a typed Monday.com column (text, number, phone, email, date, dropdown). A Contact's phone number is required for Journey eligibility in Regal; we validate phone presence in the source export and set a Contact Status column indicating eligibility. Records missing a phone number land with a 'non-contactable' status flag for manual enrichment post-migration.
Regal.io
Contact Attributes
monday CRM
Columns (Contact board)
lossyRegal's custom Contact Attributes are tenant-specific schemas. We extract the full attribute list from Regal's API and recreate each as a typed Monday.com column on the Contact board. Text attributes become text columns; numeric attributes become number columns; multi-select attributes become dropdown or multi-select columns. The column order in Monday.com mirrors the attribute priority identified during discovery.
Regal.io
Events
monday CRM
Items (Event board) or Timeline columns
1:manyRegal Events are behavioral records tied to a Contact with a type, timestamp, and properties. High-volume event types (call_attempted, sms_sent, email_opened) map to typed columns on the Contact board Item; lower-volume event types map to Items on a linked Event board connected via a Contact link column. We preserve the event timestamp as a date column and the event type as a status or dropdown column so that Monday.com's timeline view renders the sequence.
Regal.io
Campaign
monday CRM
Group or Board
lossyRegal Campaigns define outbound programs with list selection, cadence, and goal. We map Campaign membership (which Contacts are in which Campaigns) as a multi-select or link column on the Contact board. Campaign goal and status fields migrate as columns on a Campaign board. Cadence logic (call order, SMS timing, email sequence) is documented as plain-text trigger conditions rather than migrated because Monday.com's automation model does not natively replicate Regal's Journey cadence sequencing.
Regal.io
Journey
monday CRM
Automation recipe (documented)
1:1Regal Journeys are event-triggered sequences of voice, SMS, and email steps. Monday.com has an Automation Center but no native Journey equivalent. We document each Journey as a step-by-step plain-text inventory covering the trigger condition (event type and filter), the sequence of actions (voice call, SMS, email), delay durations, and the conditional branching logic. This inventory is delivered to the customer's admin for rebuild in Monday.com Automations or a third-party sales engagement tool post-migration.
Regal.io
Call Transcripts
monday CRM
Text column or File attachment
1:1Call transcripts are available as structured text from Regal's media storage. We export available transcripts and load them into Monday.com as a long-text column on the associated Contact Item, or as a file attachment linked to the Item. Transcript availability depends on Regal's retention settings at time of export. The conversation flow is not preserved as a visual timeline but as a readable text block.
Regal.io
SMS and Email Threads
monday CRM
Text column or File attachment
1:1Conversational history (SMS and email threads) is associated with Contact records in Regal. We extract thread-level data and re-associate it with the Contact Item in Monday.com as a text column or file attachment. Thread continuity (message ordering, timestamps) is preserved in the text format. Note that Monday.com does not render threaded messaging in a native inbox view; threads appear as static text blocks within the Item.
Regal.io
Branded Caller ID (CNAM)
monday CRM
Documentation for re-registration
1:1Regal's branded caller ID configuration (carrier registration details and domain ownership records) is exported as a structured reference document. Monday.com does not have native telephony or CNAM management; the customer re-registers branded caller ID through their chosen telephony provider (Twilio, Bandwidth, or similar) post-migration. We deliver the CNAM export as part of the handoff documentation.
| Regal.io | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | Item (Contact board)1:1 | Fully supported | |
| Contact Attributes | Columns (Contact board)lossy | Mapping required | |
| Events | Items (Event board) or Timeline columns1:many | Fully supported | |
| Campaign | Group or Boardlossy | Fully supported | |
| Journey | Automation recipe (documented)1:1 | Fully supported | |
| Call Transcripts | Text column or File attachment1:1 | Fully supported | |
| SMS and Email Threads | Text column or File attachment1:1 | Mapping required | |
| Branded Caller ID (CNAM) | Documentation for re-registration1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Regal.io gotchas
Regal API is a single-events endpoint
AI Agent scripts and decision trees are non-exportable
No public pricing or documented tier limits
Contact contactability status is phone-number-dependent
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and data inventory
We audit Regal.io's Contact count, attribute schema, event types and volumes, Campaign membership, Journey trigger conditions, and transcript availability. We also identify integration endpoints (Segment, HubSpot, Braze) that are active in Regal and will need to be re-established in Monday.com. The discovery output is a written scope document covering record counts per object, data quality flags, and a preliminary mapping plan for Contact attributes and Event types to Monday.com column types.
Board schema design in Monday.com
We design the Monday.com board structure based on the discovery findings. This includes creating a Contact board with typed columns matching the Regal attribute schema, an Event board (if needed) with a Contact link column, and a Campaign board with goal tracking columns. We also configure the Monday.com CRM-specific entities (lead status, deal stages) if the customer uses deal tracking. The schema is validated in a Monday.com test workspace before any data is loaded.
Contact extraction and phone validation
We extract all Contact records from Regal's API with full attribute payloads. During extraction, we flag any Contact record missing a phone number because these will not be campaign-eligible in Regal's source model and may need special handling in Monday.com. We run a deduplication pass on email and phone as the dedupe key before loading into Monday.com. Contact creates load first so that the Monday.com Item IDs are available for Event cross-references.
Event extraction and board population
We extract the full Event history from Regal's API, filtering by the Contact IDs confirmed in step 3. Events are split into two destination paths: high-frequency event types (call outcomes, SMS sent, email opened) become typed columns on the Contact Item; lower-frequency event types become Items on the Event board linked back to the Contact. We preserve event timestamps as date columns and event type as status values so Monday.com's timeline view renders the sequence. The 300 req/sec extraction rate is managed with batch throttling.
Transcript and thread export
We export available call transcripts and conversational SMS/email threads from Regal's media storage. Transcripts are formatted as structured text (speaker labels, timestamps, content) and loaded as long-text columns on the associated Contact Item. Audio recordings are exported as binary files and attached to the Item via Monday.com's file attachment column. We note any gaps in transcript availability caused by Regal's retention policy and flag these in the handoff report.
Journey and automation documentation
We document every active Regal Journey as a plain-text step-by-step inventory covering the trigger event, each action in sequence (voice, SMS, email), delay durations, and conditional branching. We also document integration endpoints (Segment, HubSpot, Braze, Iterable) as connection specifications so the customer can re-establish these in Monday.com or their CDP. AI Agent logic is documented separately with persona settings, script summaries, and handoff decision trees. This documentation is delivered as a structured handoff file; it is not rebuilt in Monday.com as part of the migration scope.
Cutover and validation
We freeze Regal writes during the cutover window, run a final delta extraction of any records modified since the initial export, load the delta into Monday.com, and re-run reconciliation on record counts and mapping accuracy. We validate that Contact Items have the expected column values, that Events appear in timeline order on the Contact board or Event board, and that transcript text is populated where available. We deliver the Journey and automation documentation to the customer and close the migration engagement. Post-migration rebuild of Journey automations in Monday.com is a separate scope handled by the customer's admin or a Monday.com implementation partner.
Platform deep dives
Regal.io
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Regal.io and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Regal.io and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Regal.io and monday CRM.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Regal.io: 300 requests per second.
Data volume sensitivity
Regal.io doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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