Enterprise Tech

Ramp launched its Agents for AP platform in October 2025, promising to process, approve, and pay invoices in as few as three clicks. Finance teams deploying similar agentic AP systems are cutting per-invoice costs from a manual average of $15 or more to below $2, according to Medius benchmarking data. The gap between those results and a failed rollout comes down almost entirely to what you do before go-live. This guide is for the CFO or finance operations leader who has already committed to AI-driven AP automation and needs to execute without the common failures. ...

Oracle has restructured its Fusion Cloud finance and procurement applications around autonomous AI agents, not menus, not assistants, but agents that execute multi-step workflows without human direction at each step. In March 2026, Y Combinator-backed Zalos simultaneously closed a $3.6 million seed round to build agents that log into existing ERP systems and run finance workflows without touching the underlying architecture. Two approaches, one bet: that autonomous agents will handle the operational core of enterprise finance within the decade. ...

Oracle launched 22 Fusion Agentic Applications on March 24, 2026, betting that enterprises already running its cloud ERP will activate autonomous finance workflows without replacing anything. That same day, San Francisco startup Zalos closed a $3.6M seed round to do the opposite: send screen-trained agents into whatever ERP you already own, no migration required. Two strategies. Two cost profiles. One decision that could shape your finance operations for the next decade. Here is what the evidence shows, and where each approach breaks. ...

Visa’s AI fraud detection system blocked more than $40 billion in fraudulent transactions in a single year, but Visa spent nearly a decade building the data infrastructure behind that result. Most banks that attempt to replicate it in 12 months fall well short: they produce false positive rates that alienate customers, suffer model drift that quietly erodes detection accuracy, and face regulatory auditors who reject black-box explanations. This guide is for the project lead or C-suite executive who has already decided to deploy AI fraud detection and now needs to avoid the most common and costly failures. ...