WEBVTT

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You know that moment when a ticket gets closed, but

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the customer says it's still broken?

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That's the gap Rectify handles.

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It connects the complaint to the engineering work, checks what

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actually works for that customer, and follows through.

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That means checking the customer's actual task, not just trusting

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a status update. Let me show you.

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Here's Maya at Northstar.

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Her CSV export is empty.

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We open her Gmail thread, and Rectify creates the case.

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These are clearly labelled local fixtures.

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Now we hit Investigate.

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A real model reads the complaint, checks the GitHub issues

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and Slack messages, then tries Northstar's export.

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And here's the catch: the issue is closed, but the

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export still fails. The server says the request worked.

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But the records aren't there.

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So Rectify saves the evidence, opens a customer-impact issue, and

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hands it to engineering in Slack.

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No resolution email goes out.

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Over in ReportDesk, a person enables the corrected export path.

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You can see the audit event and the new configuration

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revision. Back in Rectify, we recheck the same workflow.

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This time, it works.

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Now we can review the exact message Maya will get.

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Approval is tied to the recipient, the wording, and that

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passing check. Here, the local helper submits a signed Slack

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approval. Nothing is sent before approval.

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The worker confirms one send.

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But sending an email isn't the finish line.

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Maya opens ReportDesk and tries the export herself.

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There's the expected row.

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That real customer action creates the signed recovery event.

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And now she's recovered, with the follow-up updates confirmed.

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That's Rectify: not just a closed ticket, but a working

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customer workflow, with the evidence to back it up.
