type.inbound
// a single PDF attachment
and length(attachments) == 1
// the subject doesn't contain fax, which is currently a common match for the topic
and not strings.icontains(subject.base, 'fax')
and ml.nlu_classifier(body.current_thread.text).language == "english"
and (
any(ml.nlu_classifier(body.current_thread.text).topics,
.confidence == "high"
and .name == "Voicemail Call and Missed Call Notifications"
)
or any(ml.nlu_classifier(body.current_thread.text).intents,
.confidence == "high" and .name == "bec"
)
)
// the Topic analysis of the PDF is Voicemail
and any(attachments,
.file_extension == "pdf"
// the NLU detected language is english
and ml.nlu_classifier(beta.ocr(.).text).language == "english"
and length(beta.ocr(.).text) > 95
and any(ml.nlu_classifier(beta.ocr(.).text).topics,
.confidence == "high"
and .name == "Voicemail Call and Missed Call Notifications"
)
and beta.ocr(.).success
// contains a link or QR code
and any(file.explode(.),
0 < length(.scan.pdf.urls) <= 2 or .scan.qr.url.url is not null
)
// there is only a single page
and any(file.explode(.), .depth == 0 and .scan.exiftool.page_count == 1)
)
and not (
sender.email.domain.root_domain == "zendesk.com"
and coalesce(headers.auth_summary.dmarc.pass, false)
)
Playground
Test against your own EMLs or sample data.