AI Automation Examples.

• Invoices matching a purchase order within tolerance post automatically through the rules layer.
• Scanned or malformed invoices route through the judgment layer, which extracts the relevant fields and reconciles them against known patterns.
• Line-item variances above threshold get flagged with the specific discrepancy attached, not dropped into a generic review queue.

Purchase order matching and expense report validation follow the same shape: a documented rule set for the clean majority, judgment applied narrowly to the cases that don't fit.

• Ticket intake and routing — incoming requests classified and dispatched to the right queue, with unstructured requests (attachments, forwarded email threads) handled by the judgment layer instead of defaulting to a general queue.
• Order and account reconciliation — keeping CRM, billing, and fulfilment records in agreement, with discrepancies explained rather than just flagged.
• Return and refund processing — straightforward returns processed automatically against policy, edge cases (damaged goods, policy exceptions) routed with the relevant order history attached.

• Onboarding sequences — document collection, system provisioning, and task assignment triggered by actual hire status rather than a fixed calendar schedule.
• Access request triage — routine access requests granted against role policy automatically, unusual or cross-department requests escalated with the policy context attached.
• Policy and compliance document intake — signed forms and certifications validated and filed, incomplete or inconsistent submissions flagged with the specific gap.

• Month-end close — figures gathered from multiple systems, business rules applied, and anomalies flagged before a human writes the commentary that used to take days.
• Regulatory filing preparation — structured data assembled automatically, with the judgment layer flagging fields that don't match expected formats or historical patterns for review before submission.
• Audit trail assembly — evidence packs for a decision or transaction compiled automatically from across systems instead of manually chased down when an auditor asks.

See our AI automation guide for the underlying architecture behind each of these, and our AI automation ROI guide for how to measure the results once one is live.