dheeraj k.

Hi jyoti.bansal, thanks for sharing all these awesome genies you’ve built! I’m curious about the architecture: does each genie handle a specific use case independently, or have you built a multi-genie setup where one genie receives the request and routes it to another based on the request type?

Hi Lana M., thanks for being so open to the feedback! 🙂 Yes, Salesforce ↔️ NetSuite could be a useful starting point. You could begin with one specific flow or object, such as customer records, invoice or payments, to keep the initial scope manageable and understand which checks are useful. Do share your progress in here —it would be great to follow how it develops!

Thanks, Lana. I can see the value of catching discrepancies before the business discovers them, particularly for critical data. For our team, the main consideration would be how much additional confidence the tool provides compared with the effort required to configure and maintain it. The biggest challenge I see is defining what should match. Our integrations apply business rules, transformations and filters, so a difference between source and destination can be expected. Across multiple systems and objects, those rules can become quite specific. If we have to recreate and maintain much of the integration logic in a separate tool, adoption would be harder. What would make it useful for us would be: • Configurable checks for selected critical records and fields, accounting for expected transformations and sync delays. • Clear evidence of each discrepancy: record IDs, expected versus actual values, and links to the relevant records or run. • Low setup effort and actionable alerts within our existing workflow. We would still fix the underlying cause in the integration or relevant system whenever an issue is found. I can also see independent reconciliation providing an additional check that those safeguards are working. Starting with one specific integration use case might help demonstrate that value and establish how much configuration is needed before expanding to a more generic solution.

That rarely occurs unless your integration logic contains errors. Typically, this arises following a new development phase, and upon being reported, we rectify the logic accordingly. We do not have a separate process to identify those .

Example notification

Understood. In fact, our synchronization process does more than just return a simple success status; it generates a comprehensive report for every single run. For instance, if it retrieves 10,000 records from one system but successfully transmits only 9,999, it by logic recognizes that an error has occurred. The system immediately captures this discrepancy and dispatches a notification to the relevant team for prompt investigation.

I understand. What I meant earlier was that the tool identifies an issue, and then we resolve the integration manually—we do not expect the tool to perform the fix itself. 🙂 Could you please provide an example for your use case? Additionally, generally speaking, whenever we encounter a discrepancy, it is usually reported by the business. First, we validate whether their report is accurate. Next, we determine whether the issue was caused by our integration. If it was, we examine the logs to identify where, at which step, and due to which logic the discrepancy occurred. Following that, we verify whether the behavior stemmed from actual business requirements, a code defect, or an edge case. Based on our findings, we take the appropriate corrective actions to ensure that the same discrepancy does not happen again.

That sounds like an great idea. Will this evaluation tool assess candidates based on other crucial skills listed in their resumes, aside from Workato? For instance, what if a candidate possesses strong experience in both Workato and Boomi according to their resume, but fabricated their Boomi credentials? Would the system attempt to verify the accuracy of such additional information? I hope this makes sense.

you can check with workato support if they provide any api or tool for the realtime task updates.

Hi vishaln, sadly the count updates only after the job finishes. I think Workato’s own task count collection waits for job completion too.