CRM integration troubleshooting is the routine for finding and fixing records that did not stay in step with accounting, a website form, WhatsApp, or another system. The symptom is usually a missing customer, a doubled contact, or a status that never updates. The cause is often an error response, a retry that ran twice, or a mapping assumption nobody rechecked.
What synchronisation means in general is covered in what is data synchronization. What an API call is, is covered in what is API integration. This page is the operating habit: how you notice the break, and what you compare.
Failures worth detecting
- Transport errors — timeouts, expired credentials, revoked tokens
- Rejected records — missing required fields, unknown item codes, closed periods in accounting
- Partial success — the account was created but the contact or the order was not
- Duplicates — the same webhook or file was processed twice
- Silent skips — a filter excluded a record and nobody was told
- Drift — both sides were edited and the last write wins without a rule
A green “connected” badge does not mean yesterday’s orders arrived.
Logs that a human can use
Each failed attempt should keep:
- Time
- Direction (CRM to finance, or the reverse)
- Record identifiers on both sides
- The error text the other system returned, not only “failed”
- Whether a retry is scheduled
Store that on a queue the operations owner checks daily. An unread log folder is not monitoring. Alert when credentials fail or when the failure count jumps, not on every single validation miss if those are expected during data entry.
Retries need a limit and a key so the same order cannot be created five times. If the remote system already accepted the first call and the response was lost, a blind retry duplicates the document. That is why idempotency belongs in the design, not as an afterthought in the alert email.
Daily integration check
- Open the error queue, not only the success count
- Group failures by error type
- Fix master data or credentials before retrying
- Retry once the record will be accepted
- Reconcile a sample of IDs on both sides
Reconciliation
Pick a small set each week: ten new accounts and ten documents that should have crossed. Match on the external ID you stored during implementation. Compare name, status, and amount. A count of API calls is not a reconciliation. The one-time version of this discipline is described in CRM data migration; live sync needs the same sample, forever, at a lighter cadence.
Channel-specific flows, such as WhatsApp messages becoming leads, have their own failure points (media, unmatched phone numbers, duplicate chats). See how WhatsApp to CRM integration works before you treat every missing chat as an accounting bug.
A practical example
Quotations accepted in the CRM should create a sales document in accounting. On Tuesday, three fail because the item code was renamed in accounting and the CRM still sends the old code. The queue shows the code in the error text. The team updates the mapping, retries those three IDs, and confirms the accounting document numbers are written back on the opportunities. They do not re-send the whole year.
Key takeaways
- Watch rejections and duplicates, not only the connection status.
- Keep identifiers and the remote error message.
- Limit retries so a lost response cannot create a second invoice.
- Reconcile a sample of records every week.
FAQ
Who should own the error queue?
Name a person on the business side and a technical contact. Sales will see the missing order first. Someone must have the right to retry or to stop a bad credential.
Should failed rows be edited in both systems?
No. Decide which system is the master for that field, fix the cause, and replay the sync. Editing both sides by hand recreates the drift.
How is this different from a data migration?
Migration loads a starting set. Sync keeps later changes moving. Both need mapping and reconciliation. Only sync needs ongoing alerts and retry rules.