Why this was harder than it looked
The obvious framing is: sync time entries from Zoho into Chase. The real problem is that Chase and Zoho Projects model work very differently, and the integration had to bridge that gap without compromising Chase's role as the finance system of record.
A few things that added to the complexity:
- Chase had no native event push. There was no webhook to trigger on job or timesheet changes, so the integration had to poll Chase using its row-version mechanism and manage its own state between runs.
- Every timesheet entry needed a Chase Task Type ID and billing category before Chase would accept it. Zoho Projects has no native concept of Chase billing rules, so those had to be embedded into task records through custom fields and a mapping layer.
- Tasks created from templates behaved differently to tasks created manually — they did not always trigger the workflows that embedded billing metadata. A scheduled backfill pass was needed to catch and enrich them.
- At the volume the agency operated, duplicate sync attempts were a real risk. Timestamp comparison between ClientUpdatedTime and SystemUpdatedTime was used to distinguish user edits from integration-generated updates and prevent sync loops.
- Failure needed to be visible. A rejected timesheet entry that disappeared quietly would eventually surface as a billing discrepancy. Every failure was written back to the Zoho time log as a status field and failure reason so it could be found and repaired.
What we built
A custom integration architecture across three layers: Chase as the finance system, Zoho Projects as the operational workspace and integration runtime, and Zoho Analytics as the reporting and monitoring layer.
- Two sync directions ran independently. Chase job data polled into Zoho Projects using row-version state tracking, keeping project records current without requiring Chase to push changes. Zoho time logs processed out to Chase on a scheduled basis, with the integration deciding whether each entry needed to be created, updated, or deleted in Chase before writing the result back to Zoho.
- Zoho Projects custom functions handled all the integration logic: Chase polling, task type enrichment, timesheet create/update/delete flows, timestamp comparison, API call caps, in-function caching, retry handling, and failure writing. No external middleware. The integration runtime lived inside the platform the delivery team already used.
- Zoho Analytics extended the solution into visibility. Dashboards covered duplicate Chase Timesheet ID detection, time capture completeness by user and project, same-day logging rates, consistency streaks, and planned-vs-capacity views. Some of that was operational monitoring for support. Some of it gave leadership a clearer picture of time capture discipline across the agency.
The outcome
Delivery teams kept working in Zoho Projects, Finance kept working in Chase, project records stayed current, timesheet records stayed billing-accurate, and failed entries were visible and repairable rather than silently lost.
The manual reconciliation workload dropped significantly, and the connection between what was delivered and what was billed became reliable, which, in an agency billing model, is the only outcome that matters.
