In this episode of Corporate Treasury 101, we sit down with Daniel Kalish, CEO and Co-Founder of Nilus, the AI-native cash management and treasury platform redefining how modern companies manage liquidity, forecasting, and financial control. With treasury complexity accelerating far faster than company growth, Daniel breaks down why today’s teams are under unprecedented pressure, and how agentic AI is reshaping what’s possible.Drawing from real-world implementations and insights across fast-growing and global companies, Daniel explains why traditional treasury stacks can’t keep up, why cash visibility remains the No. 1 pain point, and how AI can move treasury from reporting to true strategic impact. He also shares how Nilus’s agentic architecture is transforming liquidity planning, enriching data at scale, identifying risks in real time, and delivering ROI within weeks, not months.Whether you’re leading a treasury function, evaluating your next TMS, or preparing your organization for an AI-driven future, this conversation offers a practical and actionable look at the next era of treasury. Daniel’s perspectives on implementation, data reliability, and the future role of treasury leaders provide a blueprint for teams looking to increase control, reduce manual work, and unlock strategic value in 2025 and beyond.What You’ll Learn in This Episode• Treasury Pain Points Today: Why companies that grow 2X often face 10X more treasury complexity, and how lean teams are struggling with visibility, control, and manual work.• Cash Visibility & Data Challenges: The hidden cost of poor data, why teams still rely on spreadsheets, and how enriched transaction-level data unlocks real forecasting accuracy.• Agentic AI vs. AI-Enabled Tools: The difference between legacy TMS platforms that “bolt on” AI and AI-native systems built to automate, analyze, and act in real time.• Implementation, Speed & ROI: How Nilus connects banks and ERPs in days, and how treasury teams gain immediate productivity, control, and financial returns.• The Future of Treasury Leadership: Why treasurers remain essential decision-makers, and the skills leaders need as AI shifts the function toward strategy, oversight, and proactive decision-making.Episode Breakdown with Timestamps [00:00] – Introduction [02:02] – The most common symptoms that signal a treasury stack is breaking down [08:30] – Cash visibility: why companies still struggle and the real cost of not knowing where cash sits [10:43] – AI-enabled TMS vs. AI-native platforms: what legacy tools can’t do [14:39] – How agentic AI works: data enrichment, pattern recognition, policy engines & decision support [17:59] – Solving the data accuracy problem and how AI improves forecast reliability [21:54] – Real examples where AI surfaced risks and opportunities treasury teams previously missed [23:55] – Implementation speed: connecting banks & ERPs in days, not months [27:26] – ROI drivers: productivity, control, liquidity optimization & trapped cash [33:41] – How treasurers can become strategic leaders and expand their impact across the organizationFollow our guest Daniel Kalish: LinkedIn: https://www.linkedin.com/in/daniel-kalish-74194768/ Nilus: https://www.nilus.com/ Follow Corporate Treasury 101:Website : https://corporate-treasury-101.com/...