A discrepancy is any difference between what was declared (by you and/or the applicant) and what Konfir can evidence from connected data sources. Discrepancies are common and do not automatically indicate a problem.
Alerts and insights are designed to help explain or highlight certain discrepancies, but not every discrepancy triggers a flag.
Note: How discrepancies are treated (manual review, automated rules, follow-up, or fallback evidence) depends on your use case and policy.
Discrepancy types
Type | Description | Common causes |
Date differences | Start/end dates don’t match exactly | Applicants estimate dates; sources are exact; reporting lag; payroll cut-offs |
Employer name differences | Declared name differs from the verified name | Trading vs legal name; group entities; abbreviations; umbrella/agency payer vs end client |
Income pattern differences | Income doesn’t align with expectations | Variable pay, multiple payers, self-employment, non-salary income |
Handling discrepancies
Konfir supports different operating models. Your organisation may use one or a mix of:
Model | How discrepancies are handled |
Manual review | A reviewer interprets the discrepancy using the evidence shown in Konsole or the PDF report |
Rules-based automation (API) | Your system applies your policy to fields, statuses, and flags in the API output |
Hybrid | Automation routes straightforward outcomes; people review exceptions or edge cases |
