Start with future workflows, not a feature checklist
Feature fit matters, but a comparison matrix rarely reveals what integration will cost after go-live. Begin by mapping the critical data flows the business expects over the next several years. A lead may enter through a website, LINE, or a sales form, become an account and opportunity in the CRM, then produce a quote and order that must reach the ERP. Inventory, shipment, invoice, and payment status may need to travel in the opposite direction. For every object, identify the originating system, system of record, direction of change, and acceptable delay.
Separate immediate requirements from plausible future ones. Immediate connections might include e-commerce, accounting, invoicing, or warehouse systems. Future connections might involve an enterprise AI assistant, IoT platform, customer service channel, or overseas sales operation. The goal is not to make a vendor promise support for every hypothetical scenario. It is to determine whether new endpoints, fields, and events can be added without repeatedly purchasing custom modules or modifying the product core.
- Data ownership: Which platform is authoritative for customers, products, pricing, orders, and payments?
- Timing: Which processes require real-time events, and which can use hourly or daily batches?
- Failure recovery: Can failed, malformed, or duplicate messages be traced, retried, and replayed safely?
- Organizational change: Can the model accommodate another company, brand, currency, or sales channel?
An API claim is only the beginning
A platform that has an API is not necessarily integration-ready. Obtain the production API documentation and a sandbox, then verify that read, create, update, delete, and bulk operations cover the objects your workflows actually need. Some products expose customer records but prevent API updates to prices or order status. Others omit custom fields, attachments, history, or permission data. These gaps often turn into expensive manual work after the contract is signed.
Engineers should also inspect authentication, rate limits, pagination, versioning, error structures, and service-account permissions. If a process must respond quickly, does the platform offer webhooks or event delivery, or will every integration have to poll? Do events include stable identifiers and timestamps? Can they be redelivered without creating duplicates? How long will an old API version remain available after a new one is released? Vague answers usually indicate that the interface exists but is not managed as a dependable product.
The strongest validation is a small proof of concept rather than another presentation. Choose one end-to-end flow: create a customer and order in the CRM, send them to the ERP, and return the shipment status. Include custom fields, Traditional Chinese text, time zones, duplicate requests, timeouts, and retries. The objective is not to build the final integration. It is to expose differences between the documentation and the platform’s real behavior while there is still room to negotiate or choose differently.
Portability means reconstructing the data, not merely exporting CSV
Many products advertise data export but provide only flat files for primary records. A usable migration may also require custom fields, relationships, attachments, activity logs, notes, tags, status history, ownership, and selected audit information. If accounts and contacts can be exported but opportunity transitions, email interactions, or order lines cannot be reconstructed, the organization has only partial portability.
Ask how complete exports are produced, how often they can run, what volume limits apply, how long delivery takes, and whether additional fees are charged. Stable identifiers are essential: without them, a migration cannot reliably rebuild the relationships among customers, transactions, activities, and files. If exports require a vendor-operated service, put the turnaround time and cost in the contract. If the API can support periodic backups, test whether the retrieved data can reconstruct meaningful records in an independent database.
- Completeness: Are standard fields, custom fields, relationships, files, and history all retrievable?
- Interpretability: Does the export include a schema, field dictionary, and mappings for coded values?
- Recoverability: Can records and relationships be rebuilt in another environment, not just viewed as disconnected files?
- Exit terms: How long is data available after termination, and what procedures or charges apply?
Include integration and exit costs in the decision
A fair cost comparison goes beyond subscription fees. Estimate connectors, API access tiers, sandboxes, data cleanup, custom fields, monitoring, failure handling, and upgrade work. A cheaper closed platform may create recurring import and export labor. A highly flexible platform may require more governance and engineering at the beginning. The right balance depends on workflow complexity, internal technical capacity, expected change, and the level of vendor dependency the organization is prepared to accept.
Score every candidate against the same criteria: business fit, data model, API coverage, event support, authorization, observability, export completeness, and contractual exit terms. Establish minimum thresholds for requirements that cannot be compromised, rather than allowing a strong demo to compensate for a critical integration gap. Keep proof-of-concept results, sample payloads, and written vendor answers as implementation and acceptance evidence. If the organization lacks experience across ERP, CRM, and cloud architecture, an integration team can help design the test; the important point is to validate executable workflows before signing, not discover after launch that essential data is trapped.