CRM migration
Field-level mapping, validation, and rollback between Opera 3 and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Opera 3
Source
HighLevel
Destination
Compatibility
10 of 12
objects map 1:1 between Opera 3 and HighLevel.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Opera 3 is an ERP with a built-in CRM module; GoHighLevel is a contact-centric CRM and marketing automation platform. The migration is a data modernisation from a UK accounting system to a cloud-native SaaS CRM. We extract from Opera 3's CSV exports and SQL Server reads, then map Sales Ledger contacts to GoHighLevel Contacts, companies to Companies, orders to Pipelines, and products to the GoHighLevel Products feature. Custom Objects (up to ten per location) absorb the stock variants, projects, fixed assets, and payroll data that have no native GoHighLevel equivalent. We do not migrate the Nominal Ledger, payroll processing, or fixed asset depreciation schedules because GoHighLevel has no accounting module; we deliver those as written inventory for the customer's finance team to reconcile in a separate tool. Workflows, automations, and RTI FPS/EPS filing logic do not migrate as code.
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 Opera 3 object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Opera 3
Sales Ledger (Customers)
HighLevel
Contact
1:1Opera 3 Sales Ledger contact records export via CSV with full address, payment terms, credit limits, and multi-currency flags intact. We map each contact to a GoHighLevel Contact record, preserving the account reference as an external ID and the primary email and phone as the dedupe keys. Sales person and territory assignments from Opera 3 map to custom fields or contact tags in GoHighLevel.
Opera 3
Purchase Ledger (Suppliers)
HighLevel
Custom Object (Supplier)
1:1Opera 3 Purchase Ledger supplier records have no native GoHighLevel equivalent because GoHighLevel is CRM-focused rather than accounting-focused. We map suppliers to a Custom Object named Supplier with fields for company name, contact name, email, phone, payment terms, and account reference. This is a GoHighLevel Custom Object rather than a native Contact to keep supplier and customer data streams separate.
Opera 3
Company / Multi-Company Code
HighLevel
Company
1:1Opera 3 multi-company structures map to GoHighLevel Company records. The company code from Opera 3 becomes a custom field on the Company record. For customers with separate legal entities that need data isolation, we set up GoHighLevel Locations to partition the data; sub-accounts (available on SaaS Pro) are an option for full isolation but require a higher plan tier.
Opera 3
Nominal Ledger (Chart of Accounts)
HighLevel
Custom Object (Nominal Account)
1:1The Opera 3 Nominal Ledger stores the chart of accounts with cost-centre tagging. GoHighLevel has no native accounting module, so we cannot create a functioning GL. We map the account code hierarchy to a Custom Object (Nominal Account) with fields for account code, account name, account type, and cost centre. This provides a reference record for the finance team but is not a live accounting ledger.
Opera 3
Sales Orders
HighLevel
Opportunity (Pipeline)
1:1Opera 3 Sales Order headers and line items export with pricing, discounts, delivery addresses, and status flags. We map the order header to a GoHighLevel Opportunity record inside a Pipeline, with order value and close date migrated. The line items migrate as Opportunity custom fields or a linked Custom Object (Order Line Item) to preserve product, quantity, unit price, and discount detail. We preserve the order-to-invoice linkage chain in a custom field for audit.
Opera 3
Purchase Orders
HighLevel
Custom Object (Purchase Order)
1:1Purchase orders in Opera 3 contain supplier reference, line items, and status. Because GoHighLevel has no native purchase order module, we map these to a Custom Object named Purchase Order with fields for supplier lookup, order date, expected delivery, status, and a JSON-serialised line-item block. Status flags (live, closed, cancelled) become picklist values.
Opera 3
Invoices and Credit Notes
HighLevel
Custom Object (Invoice)
1:1Sales and Purchase invoices with header totals and line detail export cleanly from Opera 3, but GoHighLevel has no native invoicing module beyond basic payment links. We map invoices to a Custom Object named Invoice with fields for invoice number, date, customer or supplier reference, total amount, status, and a line-item block. PDF invoice archives are extracted from Opera 3's document folders and attached to the corresponding Invoice Custom Object record as file attachments.
Opera 3
Stock / Inventory Items
HighLevel
Product
1:1Opera 3 stock codes, descriptions, bin locations, reorder levels, and BOM structures export via CSV. We map stock items to GoHighLevel Products with product name, SKU (from stock code), description, and price. Customer-specific product variants from the OPUS add-on require additional mapping: we join the OPUS export to the main stock file by base stock code and customer reference, then create a Custom Object (Customer Product) linked to both the Product and the Contact to preserve the customer-specific pricing and description.
Opera 3
Employees
HighLevel
Contact (Custom Object for payroll)
1:manyOpera 3 employee records export via CSV including bank details, start/end dates, and P45 data. RTI FPS XML files contain tax submission records and EPS files hold employer payment summaries. We map employees to GoHighLevel Contacts with a contact type tag of Employee, and map payroll data (NI number, tax code, annual salary, payment frequency) to a Custom Object named Payroll Record linked to the Contact. We do not migrate RTI submission logic; the finance team sets up payroll processing in a dedicated UK payroll tool post-migration.
Opera 3
Fixed Assets
HighLevel
Custom Object (Fixed Asset)
1:1Opera 3 fixed asset registers export with acquisition dates, cost, depreciation method, net book value, and disposal history as structured records. GoHighLevel has no fixed asset module. We map these to a Custom Object named Fixed Asset with fields for asset description, asset tag, acquisition date, original cost, depreciation method, accumulated depreciation, NBV, and disposal date. The finance team uses this as a reference register rather than a live depreciation engine.
Opera 3
Projects and Project Costing
HighLevel
Opportunity or Custom Object (Project)
lossyOpera 3 project cost codes and phase-level tracking with labour, purchase, and expense allocations export linked to the Nominal Ledger. We map projects to GoHighLevel Opportunities in a dedicated Pipeline (Project Pipeline) with phase names mapped to stage values, and cost code totals mapped to custom fields on the Opportunity. If the project structure is complex, we use a Custom Object named Project with a one-to-many relationship to a Custom Object named Project Phase.
Opera 3
CRM Activities and Notes
HighLevel
Activity
1:1Opera 3's built-in CRM module stores contacts, companies, and text-based activity notes. Activities are free-text records rather than structured event objects, which limits how precisely they map to GoHighLevel's activity model. We map text notes from Opera 3 to GoHighLevel Activity records with the original timestamp preserved as ActivityDate, the contact linked via ContactId, and the note body in the description field. This gives a functional timeline view even though Opera 3 activities lack the structured type metadata (call, email, meeting) that GoHighLevel activity subtypes provide.
| Opera 3 | HighLevel | Compatibility | |
|---|---|---|---|
| Sales Ledger (Customers) | Contact1:1 | Fully supported | |
| Purchase Ledger (Suppliers) | Custom Object (Supplier)1:1 | Fully supported | |
| Company / Multi-Company Code | Company1:1 | Fully supported | |
| Nominal Ledger (Chart of Accounts) | Custom Object (Nominal Account)1:1 | Fully supported | |
| Sales Orders | Opportunity (Pipeline)1:1 | Fully supported | |
| Purchase Orders | Custom Object (Purchase Order)1:1 | Fully supported | |
| Invoices and Credit Notes | Custom Object (Invoice)1:1 | Fully supported | |
| Stock / Inventory Items | Product1:1 | Fully supported | |
| Employees | Contact (Custom Object for payroll)1:many | Mapping required | |
| Fixed Assets | Custom Object (Fixed Asset)1:1 | Fully supported | |
| Projects and Project Costing | Opportunity or Custom Object (Project)lossy | Fully supported | |
| CRM Activities and Notes | Activity1:1 | 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.
Opera 3 gotchas
Visual FoxPro to SQL SE migration is mandatory and non-reversible
RTI FPS/EPS payroll files use cryptic renamed filenames after HMRC submission
Customer Products add-on stores customer-specific stock variants outside the main item schema
No public API — data export relies on CSV, XML RTI files, or bespoke WCF
Multi-company inter-company balances require cross-reference mapping
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Discovery and export method confirmation
We audit the Opera 3 installation: edition (Visual FoxPro or SQL SE), modules in scope (Sales Ledger, Purchase Ledger, Nominal Ledger, Payroll, Stock, CRM, Projects), approximate record volumes, and any OPUS add-on usage. We confirm the export method for each module — built-in CSV exports for ledgers and employees, direct SQL Server reads for SQL SE where CSV column selection is insufficient, and file-system extraction for PDF archives. For multi-company installations, we document each company code and the inter-company transaction volume. The discovery output is a written migration scope and export method checklist signed off by the customer.
GoHighLevel schema design and Custom Object creation
We design the GoHighLevel destination schema. For each Opera 3 module that has no native GoHighLevel equivalent (Nominal Ledger, Purchase Ledger, Purchase Orders, Invoices, Payroll Records, Fixed Assets, Projects), we create a Custom Object with the required fields and lookup relationships before any data import. We configure Pipelines for Opportunities (one per Opera 3 order type or project), set up Locations for multi-company data partitioning, and define custom field schemas for the Sales Ledger contact records. All schema changes are made in a GoHighLevel sandbox or development location first.
Data extraction and CSV reconciliation
We run the Opera 3 CSV exports against each module in scope, extract RTI XML files with timestamp-based filename search, pull PDF archives from the document folders, and run SQL Server queries against the Opera 3 SQL SE database where CSV exports are insufficient. We reconcile export row counts against Opera 3 screen totals before any transformation begins. Validation errors (missing required fields, orphaned records) are surfaced to the customer for correction before the import phase starts.
Transform, deduplicate, and split
We apply the mapping transforms: Sales Ledger contacts to GoHighLevel Contacts with external ID resolution, companies to Companies, orders to Opportunities, suppliers to the Supplier Custom Object, invoices to the Invoice Custom Object, payroll records to the Payroll Record Custom Object, and fixed assets to the Fixed Asset Custom Object. We deduplicate by email on contacts and by account code on companies. For multi-company Opera 3 installations, we partition data by company code into separate GoHighLevel Locations. We flag inter-company transactions with a custom tag.
API import and Bulk API chunking
We import data into GoHighLevel using the REST API with rate-limit handling and exponential backoff. Contacts and Companies import first to satisfy lookup dependencies for Opportunities and Custom Objects. For large datasets (over 5,000 records), we use batch chunking with a reconciliation count emitted at the end of each batch. PDF invoice attachments are uploaded as file records and linked to the corresponding Invoice Custom Object. We validate record counts post-import against the source export totals.
Cutover and handoff inventory
We freeze writes to the source during cutover, run a final delta migration of any records modified during the migration window, then mark GoHighLevel as the system of record. We deliver a written inventory of Nominal Ledger accounts, payroll setup requirements, inter-company balance references, and OPUS variant mappings that require manual reconciliation in a dedicated UK accounting tool. We do not rebuild Opera 3 workflows or automations; those require rebuild in GoHighLevel's Workflow builder by the customer's admin team, which is a separate scope.
Platform deep dives
Opera 3
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Opera 3 and HighLevel.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
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
Opera 3: Not publicly documented — no published API means no documented rate limits.
Data volume sensitivity
Opera 3 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.
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