Sunday, September 13, 2026

Corporate Finance Controls

1 article

58% of AP Teams Skip Fraud Checks Due to Time Pressure, Creating $41B Annual Loss Risk

Manual accounts payable verification fails 58% of the time as processors skip fraud checks under time constraints, PYMNTS data shows. Companies lose $41 billion annually to AP fraud while AI-driven verification systems process payments 3x faster with 100% check completion. The gap between manual shortcuts and automated controls is reshaping corporate compliance strategies.

ViaNews Editorial Team (Finance)•Feb 28, 2026

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What we're seeing

AI Capital Keeps Flowing as Enterprise Adoption and Government Contracts Validate the Bet

A late-August surge of nine-figure funding rounds (Socure, Stability AI, Generalist AI, Gatik, Regent Craft, Emerald AI, Owner) shows venture capital still pouring into AI infrastructure, identity/fintech, and autonomy, even as public-market sentiment stays jumpy — Palantir's stock fell 6% the same week it landed the Army's TITAN contract. UiPath's raised guidance and strong Q2 results, alongside efficiency breakthroughs like Multiverse Computing's model compression, point to real enterprise monetization catching up to the funding hype.

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Signals we're tracking

EPKINLY Regulatory-Clinical Success Cascade

High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.

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Where sources disagree

JPMorgan Chase & Co.

Both facts record the same attribute (net_income) for JPMorgan Chase & Co. in the identical fiscal period (Q1 2026) and observation date (2026-03-31), but report values that differ by approximately 1 billion times: $16,494,000,000 vs $16.49. These cannot both be true simultaneously. The discrepancy suggests either a unit mismatch (e.g., one is total net income, the other earnings per share mislabeled as net_income), a decimal point error, or data entry corruption. For the same entity, attribute, and time period, only one value can be correct.

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