Question 1

What manual verification work can be automated when using IDWise?

Accepted Answer

IDWise automates the collection and initial processing of identity documents and verification data from contacts, eliminating manual document review and data entry. When integrated with other tools, you can automate the routing of verification results to downstream systems, conditional approvals based on risk scores, and the creation of records tied to successful identity verification outcomes. This removes the need for staff to manually collect documents, cross-reference information, or manually trigger next-step processes based on verification status.

Question 2

How does data flow between IDWise and other business tools in an automation?

Accepted Answer

IDWise receives contact information and document submissions through its API or hosted flows, then returns verification results including pass/fail status, risk assessment data, and extracted identity details. Automation platforms can retrieve these results and push them into CRM systems, compliance databases, or workflow tools to automatically update contact records, trigger approvals, or log verification history. The primary data exchange is one-way output of verification outcomes, though contact identifiers are needed as input to initiate verifications.

Question 3

What breaks or gets missed when automating IDWise verifications?

Accepted Answer

Automations often fail when contact data sent to IDWise is incomplete or improperly formatted, since verification requires specific document types and readable submissions. Risk assessments and verification results may be inconclusive for borderline cases, requiring manual review that automation cannot bypass. Additionally, if your automation assumes all documents will be submitted immediately, delays or abandoned submissions will leave records stuck in pending states without built-in fallback logic to notify teams or escalate.

Question 4

How should I structure IDWise in my workflow to make automations reliable?

Accepted Answer

Create a clear handoff point where IDWise verification is a distinct step before downstream processes depend on the result, rather than trying to run parallel checks. Set up explicit status tracking for each verification state: pending submission, in progress, completed, and failed, so automations can act on each condition separately. Map out which data fields from IDWise results your downstream tools actually need, and test with sample submissions to confirm extraction and data formatting work before going live.

Automate the manual work in IDWise

IDWise by the numbers

Top 5 IDWise friction points when done manually

Manually re-entering IDWise verification data

Chasing down IDWise verification status updates

Reconciling IDWise rejections with customer records

Exporting IDWise reports for compliance audits

Updating IDWise verification status across systems

What you can automate in IDWise

Create applicant pages in Notion when new onboarding journeys complete in IDWise

Respond to new identity verification requests in Facebook Messenger with IDWise identity verification links

Send emails with IDWise ID verification requests to new HubSpot contacts

Send Gmail emails for new manual reviews in IDWise

Send IDWise ID verification links via SMS from new Typeform responses

Send Slack channel messages for newly finished IDWise journeys

Tools commonly connected to IDWise

IDWise Automation questions

Ready to automate your work in IDWise?