Our automation infrastructure is deployed across the highest-volume, highest-error-risk stages of the accounting workflow — replacing manual effort not with less oversight, but with smarter oversight.
Our AI-powered transaction categorisation engine processes high-volume transaction data with consistent, rules-based precision — learning from historical patterns to achieve greater than 95% first-pass categorisation accuracy across established client accounts. This eliminates the most time-intensive and error-prone component of routine bookkeeping.
Bank and credit card reconciliation — historically one of the most labour-intensive tasks in the accounting cycle — is automated through intelligent matching algorithms that cross-reference transaction records, identify discrepancies, and queue only genuine exceptions for human review. This compresses reconciliation time by up to 70% while improving the completeness of exception identification.
Our document processing infrastructure extracts structured financial data from unstructured source documents — supplier invoices, bank statements, payroll records, expense reports — eliminating manual data entry and the transcription errors it produces. Extracted data is validated against defined parameters before entering the accounting system.
Work items are automatically routed, prioritised, and tracked through defined workflow stages — with automated exception alerts, deadline monitoring, and escalation triggers that ensure no item is missed or delayed without immediate notification to the responsible engagement manager.
Every client deliverable produced by ADAS Globus — regardless of the extent to which automation has been applied in its production — is reviewed by a qualified accounting professional before release. Automation increases our throughput and accuracy; human expertise governs our output quality. These are complementary, not competing, principles.
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