How accurate is Auditoria's AI invoice processing on complex enterprise invoices?
Auditoria's AP Invoices module achieves greater than 90% extraction accuracy across multi-line, multi-entity, and multi-currency invoice formats at go-live — including multi-language documents with no per-language SOW. Accuracy is measured against real invoice samples, not curated demo sets.
Do you do truly touchless invoice processing?
Yes — for the invoices that meet match thresholds and have no exceptions, the agent processes, codes, and posts without a human in the loop. For exceptions, the agent reasons through the most likely cause and either resolves autonomously or routes to a human reviewer with full context attached, so the analyst spends time on genuine judgment calls, not repetitive triage.
How does AI invoice processing handle exceptions?
When a line doesn't match a PO, or a header amount differs from the line sum, the agent reasons through the most likely cause using ERP context. It resolves what it can autonomously and routes what it can't to a human reviewer with the context already attached — the invoice, the ERP record, and the agent's reasoning. AP analysts stop chasing the same exception patterns every week.
Does this replace our existing AP workflow tool?
Auditoria integrates with your existing ERP and can work alongside workflow tools you already have in place. In many cases customers find that the agent layer handles what the workflow tool was supposed to handle — so the workflow tool becomes less central over time. That transition happens on your schedule, not ours.
How is Auditoria different from generic AI tools like ChatGPT?
Generic AI tools are general-purpose and lack ERP connectivity, finance workflow context, and audit lineage. Auditoria's agents are purpose-built for finance, connected natively to your ERP, and every action they take is logged with source data for compliance and audit. ChatGPT can draft an email. Auditoria can read the invoice, reason about every line, match against the PO in your ERP, and post — without a human in the loop.
