Documents in. Structured data out.

Manual invoice handling costs organisations $12–$26 per invoice due to data entry, error correction, and approval routing — with average cycle times of 14–17 days. Intelligent Document Processing extracts header fields, line items, and payment terms from any invoice format with over 99% accuracy, routing exceptions automatically. Automation cuts per-invoice cost to $3–$5 and reduces cycle time to under 5 days.

Legal and procurement teams spend hours per contract manually searching for specific clauses at billing rates of $300–$500 per hour, making clause-by-clause review economically unsustainable at scale. AI-powered contract extraction automatically identifies parties, obligations, renewal dates, liability caps, and jurisdiction clauses across thousands of documents. Organisations report 50–70% reduction in contract cycle times and up to 60% reduction in contract creation time.

Traditional claims processing takes 7–10 days and relies on adjusters manually extracting data from FNOL forms, medical records, police reports, and repair estimates — a process with manual error rates of 7–19%. IDP extracts and cross-references data across all document types in minutes, flagging anomalies and routing straight-through settlements automatically. AI-enabled insurers report 60–80% reductions in claims resolution time.

Healthcare administrators manually process thousands of unstructured patient records — discharge summaries, lab results, referral letters, and prior authorisation forms — consuming time that diverts staff from clinical care. IDP digitises and extracts structured data from incoming faxes and PDFs at the moment they arrive, transforming manual workflows that take weeks to months into 10–12 day automated pipelines and saving 50–80% of records processing time.

Financial institutions spend $60 million annually on average for KYC compliance, with individual manual verification checks costing $13–$130 each. More than half of financial institutions report that 31–60% of KYC review tasks are still completed manually, creating onboarding friction that drives customer abandonment. AI document verification extracts and validates identity data from passports, utility bills, and corporate filings in seconds, reducing onboarding time by up to 87%.

The average mortgage takes 43–44 days to close, with document collection, review, and verification as the primary driver of extended timelines. Loan files routinely contain 500+ document types across income statements, tax returns, bank statements, and title documents. IDP automatically classifies and extracts data from over 2,000 fields, cutting loan cycle time by 40–60% and origination costs by 20–30%.

Manual purchase order processing requires 8–12 hours per PO cycle and costs $30–$60 per order when accounting for data entry, approval routing, and error resolution. IDP extracts line-item data from any supplier document format and performs automated three-way matching, flagging exceptions instantly for human review. Organisations reduce cycle times by up to 60% and achieve 90% fewer processing errors.

Ocean carriers issue approximately 45 million bills of lading annually, most arriving as unstructured PDFs requiring freight coordinators to manually re-key carrier details, port codes, container numbers, and Harmonized System codes — where a single error can trigger customs holds with escalating demurrage costs. IDP processes bills of lading, packing slips, certificates of origin, and customs declarations simultaneously, achieving up to 90% reduction in processing time per shipment.

Accounting firms processing PAYG summaries, BAS lodgements, trust distributions, and supporting schedules manually spend 15–30 minutes per document at error rates that create downstream compliance risk — with global regulatory fines reaching $19.3 billion in 2024 according to Fintech Global. IDP automation achieves 75–92% cost reduction and processes the same documents in 2–30 seconds. Firms processing 5,000 documents monthly save $38,000–$97,000 annually.

HR teams spend an average of 10 active hours per new hire manually processing tax file number declarations, superannuation choice forms, offer letters, and policy acknowledgements — documents that are frequently paper-based, incomplete, or misrouted, costing $120 per lost document and $220 to recreate it. IDP captures and validates employee documentation at ingestion, auto-populates downstream systems, and routes missing items for completion — cutting HR involvement per hire from 10 hours to approximately 2 hours.

Large financial institutions spend upwards of $200 million annually on compliance, representing nearly 3% of total operational expenses. Regulatory reporting requires aggregating data from hundreds of internal documents — audit trails, transaction records, policy attestations, and risk assessments. IDP continuously ingests and classifies compliance documents, extracts required data fields, and generates structured audit-ready outputs — organisations using security AI and automation extensively incurred $2.2 million less in average breach costs than those without it, according to IBM’s 2024 Cost of a Data Breach Report.

The average expense report costs $58 to process and takes 20 minutes of finance staff time, with nearly 20% of all reports containing errors — missing receipts, out-of-policy charges, or incorrect cost codes. AI-powered IDP extracts merchant, amount, date, and category data from receipts and credit card statements at submission, automatically applying policy rules and flagging violations. Organisations report 28–58% reductions in processing cost and over 5,400 employee hours saved annually.