The Challenge
The completed migration preserved Cobrapparel's history, but many commercially useful signals were still buried in inconsistent descriptions and long comment threads. Product, quantity, price and urgency could change over time. Freight, delivery charges or design fees could look like product prices; mixed orders did not always fit one structured field; and some orders had been placed on hold. An early Company-domain sample also produced unreliable matches. Automatically accepting the most plausible value would have made the CRM look cleaner while quietly reducing its accuracy.
What I Did
I extended the migration's review-and-approval framework into a conservative enrichment programme. Read-only queues surfaced candidate improvements for Deals, Companies, Contacts, Tickets, summary Notes and unsupported labels without changing HubSpot. Deterministic fixes were separated from ambiguous judgements. For Deal signals, reviewers checked the complete Trello description and comment history, approved only source-supported values, then passed each batch through preview, guarded apply and live readback. When Company-domain evidence proved unreliable, I revoked the approval and disabled automatic Company-domain and Contact writes.
The Result
The first four enrichment batches applied 399 manually reviewed product, quantity, price and urgency fields to 133 Deals. All 133 Deals passed verified readback, every batch recorded zero blockers and each post-apply preview found zero remaining changes. Seven candidates were explicitly rejected rather than forced into the CRM. At the latest reconciliation, 105 candidates remained unseen and the next 50-row review set contained no approved values and could not perform writes. The programme improved usable sales signal while keeping uncertainty visible and controlled.
