Usher in zero-touch invoice processing with Kanverse. Ingest, extract, validate, and publish without manual interventions. Reduce cycle time, increase eciency, reduce invoice processing errors, meet global compliance standards, and save costs.

Kanverse AP Invoice Automation approach combines AI (Computer Vision, NLP, Fuzzy logic, ML) technologies with automation. It helps organizations achieve a paradigm shift over traditional invoice processing ways, unlocking their value in real-time.

Resolution to traditional invoice processing pain points and newly created business value is catching the attention of process managers and digital transformation officers who desire to be the critical change agents to drive enterprise-wide digitization initiatives. It changes the assumptions about traditional invoice processing, enhances collaboration between teams, and challenges the conventional mindset of what was once considered an operational AP cost center which most enterprises must endure.

Traditional AP process automation performs well based on a predefined set of instructions – often hardcoded into the system. However, there are several instances where rule-based process automation fails. One key area is when the system fails to extract data from invoices. It happens commonly with AP teams, as they witness invoices bearing diverse types and formats – ranging across multi-invoice, multi-page, scanned, and invoices in PDF, JPEG, formats etc. Also, rule-based automation cannot determine fraudulent transactions, and AP fraud risks remain high. AI-powered workflows deliver actionable decision-making insights on a real-time basis to business teams which traditional automation cannot.