Nilus

$5M sitting idle. Spotted overnight. Swept before 9am. That's not a finance team working harder - that's an AI agent doing the work. In this clip from The B2B Vault, Daniel Kalish walks through exactly how a liquidity optimization agent operates in practice: scanning balances daily, identifying idle cash, and executing sweeps - all with human-in-the-loop guardrails built in. Because automation without oversight is a liability. Not trreasury. Thanks Allen Kopelman for having us! Great conversation as always. 🙏 #Treasury #LiquidityManagement #AgenticAI #CashManagement #FinTech

Most treasury software demos look the same: Clean dashboards. AI summaries. Fast time-to-value promises. Then you go live - and finance is still rebuilding the cash view in a spreadsheet. The problem isn't the AI. It's that most platforms are visibility layers dressed up as decision systems. They tell you where cash sits. They don't tell you which cash is usable, what changed, or what action needs to happen next. That gap is where treasury teams stall - especially PE-backed, multi-entity companies under sponsor or lender pressure. You need to know which entity is short, why the forecast moved, and who approved the response. A dashboard summary doesn't cut it. We wrote an honest buyer's guide to the 7 best AI-native treasury platforms in 2026. Not a feature matrix - a fit guide. We evaluated each platform across 7 criteria: treasury stack role, AI behavior, time to trusted output, multi-entity fit, governance depth, pricing transparency, and customer profile match. Read it here: https://lnkd.in/dk8kw4_g #TreasuryManagement #CFO #Fintech

Our very own Morit Zwang, a kick-ass Data Scientist by day and a zero-BS thought leader by night - put Claude for Finance to the test. And in a true Morit spirit - she didn't pull any punches. A must-read for anyone serious about AI in treasury 👇

Most board meetings happen with zero forecast scenarios modeled. Simply because running a single scenario used to take hours. With agentic AI, stress-testing your forecast can be completed in a matter of seconds. Not after the meeting, not overnight. Before anyone walks in the room. The decisions don't wait. Now your models don't have to either. Catch the full breakdown in our recorded webinar: https://lnkd.in/etbcuazA

Every CFO has sat through a demo where the word "agentic" did most of the work. A chat window. A cash question. A number appears. Someone says "AI." That's a chatbot with access to a balance sheet. It's not agentic AI. Here's the actual distinction - and why it matters more in 2026 than it did in 2025: 💡 A chatbot answers questions. A dashboard shows charts. RPA follows rules. 💡 An agentic system reasons through a workflow, acts inside your governance rules, and is accountable for the outcome - with a full audit trail and reversible controls. For treasury, that's not a subtle difference. It's the difference between a tool you can defend to a board and one you can't. Four things converged in 2026 to make this urgent: 👉 Higher rates mean idle cash is more expensive to miss 👉 Multi-entity complexity has outpaced what manual teams can consolidate in real time 👉 AI forecast accuracy on 13-week cash has crossed 88-92% in production environments 👉 Agentic treasury has moved from pilot to production - this year We wrote the definitive guide on what makes an AI system truly agentic for treasury: the five attributes that have to be present, how deterministic agents differ from probabilistic LLMs, the four autonomy levels CFOs use to govern the system, and how the audit trail maps to NIST AI RMF and ISO 42001. If your team is evaluating AI for forecasting, liquidity, or reconciliation in 2026 - this is the framework to start with: https://lnkd.in/eYrUFh7d #AgenticAI #TreasuryManagement #CFO #CashForecasting #FinanceTransformation #LiquidityManagement

Your cash application process is slow, not your AR team. For finance teams at $200M+ companies, matching incoming payments to invoices by hand can consume 2–3 full-time employees - at $150K–$300K a year in loaded labor cost - just to apply cash you've already collected. The real cost isn't just headcount. It's the delay between cash hitting the bank and your treasury team being able to use it. Here's what breaks at scale: → Remittance arrives late, incomplete, or outside the ERP → Multi-entity payments post to the wrong receivable record → PSP deposits bundle dozens of transactions into one net settlement → Short-pays sit unresolved because no one owns the approval path → Exceptions pile up at close - exactly when capacity is tightest AI-led cash application can flip those numbers: 90-98% straight-through posting, under 15 seconds per payment, and same-day exception routing. But faster posting only matters if that cash data is actually usable downstream - in reconciliation, cash reporting, and the 13-week forecast. That's where most standalone AR tools stop. And where the real gap in the process lives. We wrote a full breakdown of how connected cash application works, what the benchmarks actually look like, and where the operating case is strongest - for PE-backed roll-ups, healthcare groups, high-volume ecommerce, and multi-unit businesses: https://lnkd.in/eFARWFSz #CashApplication #AccountsReceivable #TreasuryManagement #FinanceOperations #CFO #FinanceTransformation

The front end looks clean. The back office? Total chaos. That's the PayPal Paradox - and it's a big part of what inspired our founder Daniel Kalish to build Nilus. Daniel sat down with Allen Kopelman on B2B Vault - The Biz To Biz Podcast to talk about what working at PayPal revealed about the messy reality hiding behind elegant payment UX - and why that gap is exactly where treasury agents belong. 🎙️ Watch the full episode here: https://lnkd.in/eZ3XKC98

Delta drop incoming! YES - today we've launched two new Delta courses that are now live on the Nilus Delta academy: 🤖 Claude for Treasury - brought to you by the one and only Mike Dion with Mike's AI for Finance 📊 AI-Ready Data - Governance from Ingestion to Impact - brought to you by the phenomenal Sonny Spencer BFP FCA A massive thank you to Mike and Sonny for the incredible dedication, brainpower, and heart they poured into these courses. You've built something truly special, and finance teams everywhere are going to feel the impact. 👏 But we're going even bigger: The full Delta course catalog is now available on the Nilus YouTube channel - completely free: https://lnkd.in/eif8MkWB Why? Because we've built the Delta so that CFOs, treasurers, and finance teams can have full access to world-class, practical knowledge that makes a real difference in their day-to-day work. Keeping that behind a wall didn't feel right. So here we are - opening the doors wide. ✅ Prefer a structured learning experience? Head to academy.nilus.com ▶️ Want to browse and learn on your own terms? Find us on YouTube The future of finance is being built right now, and we want you in it. Share this with your network & let's get this knowledge where it needs to go! Here's a little bite in the meantime 👇

12 portals. 1 click. In this clip from our recent webinar, Moshe Simantov shows how a Nilus agent consolidates your full cash position across every entity and bank account before you've had your morning coffee. Currency exposure. Anomalies. Next steps. All surfaced automatically. Tab-switching? Manual aggregation? Please. That's so 2021. #Treasury #AgenticAI #CashManagement #CFO

Most CFOs have a visibility problem they're just not willing to admit. $3.2M sitting in an operating account at 0.05%. $4M drawn on the revolver at 8.25%. Nobody noticed for six weeks. That's $720 a day - not from a bad decision, but from a gap in the data. We broke down exactly how idle cash hides in multi-entity companies, what it's actually costing you (hint: it's not on any line item), and the 5-step framework to detect and deploy it continuously. If you're running a PE roll-up, an insurance platform, or any business with 5+ entities and $25M+ in aggregate cash - this one's definitely worth a read: https://lnkd.in/eJUnKFap