Real-time research, analytics, and insights powered by AI — helping treasury professionals navigate liquidity, risk, and strategy with precision.
AI-curated news and analysis covering markets, regulation, technology, and strategy — updated weekly.
The Federal Reserve maintained its benchmark interest rate for the second consecutive meeting, citing persistent inflation concerns while acknowledging improved labor market conditions. Treasury teams are advised to maintain defensive positioning on cash reserves.
New SEC rules would require quarterly disclosures of liquidity positions, short-term investments, and counterparty exposure. The proposal aims to improve transparency but may increase reporting burden for treasury teams.
The new AI tool integrates with ERP systems to provide natural language querying of cash positions, automated variance analysis, and predictive forecasting. Early adopters report 40% reduction in manual reporting time.
The ECB's latest stress test identified vulnerabilities in intraday liquidity management across 12 major banks. Corporate treasuries with European operations should review counterparty exposure and consider diversification.
Bitcoin and Ethereum allocations continue to grow as treasury teams seek yield alternatives. New custody solutions and accounting standards are making crypto treasury strategies more accessible to traditional corporates.
Banks and corporates must adapt to updated capital requirements. Our AI analysis breaks down what treasury teams need to know.
Proprietary research powered by AI — covering Agentic AI, Digital Currency, Risk Management, and Treasury Management.
Quantum computers capable of breaking current encryption standards could arrive within 5-10 years. This 28-page report examines post-quantum cryptography requirements for treasury systems, payment infrastructure, and banking APIs. Includes implementation roadmap and vendor assessment framework.
A data-driven analysis of 50+ corporate treasury teams using AI tools. This 22-page report identifies the KPIs that correlate with successful AI adoption: forecast accuracy improvement, manual task reduction, and cost savings.
How agentic AI systems are transforming routine treasury tasks into self-executing workflows, from payment approvals to liquidity optimization.
A practical framework for preparing your treasury infrastructure for Central Bank Digital Currencies across major economies.
Evaluating the risks and opportunities of holding stablecoin reserves for cross-border payments and yield generation.
Machine learning models that identify anomalous payment patterns in real-time, reducing fraud losses by up to 90%.
Building infrastructure for continuous cash visibility and instant liquidity optimization across time zones.
Weekly episodes featuring treasury leaders, AI researchers, and fintech innovators — with AI-generated summaries and key takeaways.
Dr. Sarah Williams, IBM's Global Head of Quantum-Safe Security, joins us to discuss the timeline for quantum computing threats, which treasury systems are most vulnerable, and how leading organizations are preparing their cryptographic infrastructure for the post-quantum era.
Microsoft's VP of Treasury shares the journey of implementing AI across their global cash management operations. We discuss the vendor selection process, change management challenges, and the measurable impact on forecasting accuracy and operational efficiency.
We explore how generative AI models are revolutionizing cash flow forecasting, enabling treasury teams to achieve 95%+ accuracy across multi-entity, multi-currency environments.
Industry leaders share how they've implemented real-time liquidity dashboards powered by AI, reducing idle cash by 30% and improving investment returns.
20+ documented AI implementations at Fortune 500 & Global 2000 companies. Real results, real companies, real ROI.
5 implementations
ML-based cash flow forecasting evolved from daily US positioning to 60-day global forecast using algorithms to identify non-human perceptible patterns.
ML models predict late payments & strengthen forecasts; GenAI converts plain-English questions into SQL for querying datasets.
Predictive AI (CFM) for 12-week forecasting. Processes 10,000 input lines daily using ML with external variables (oil, commodity prices).
AI embedded in Power BI for cash forecasting & data analysis; exploring Microsoft Copilot 365 for treasury.
2 implementations
AI-assisted FX exposure mapping, hedge proposal generation, and anomaly detection. Combines automated forecasting with manual controller refinement.
3 implementations
AI-powered cash application automation using ML for payment matching and remittance data extraction.
AI-powered demand forecasting (300M time series across 9,000 locations) using 50+ variables. Zebra Workcloud Forecasting.
3 implementations
AI-powered payment fraud detection using ML for anomaly detection, behavioral analytics, and real-time transaction monitoring.
AI-powered automation of internal treasury and payment processes; RPA combined with AI for payment processing.
2 implementations
AI-powered cash application using ML for intelligent payment matching, remittance capture, and exception handling.
5 implementations
Global Digital Treasury with AI-enhanced Power BI; automated payment factory processing 100+ ERPs.
Generative AI for treasury data querying (natural language to SQL); ML for late payment prediction.
API-based treasury automation with AI integration for real-time cash visibility and payment processing.
API-based treasury automation with AI for interoperability between systems.
| Category | Count | Key Benefit |
|---|---|---|
| Cash Management & Forecasting | 5 | Time: 8 hrs → 30 min |
| FX Risk Management | 2 | Automated exposure mapping |
| Working Capital Optimization | 3 | 75% cost reduction |
| Payment Processing & Fraud | 3 | Real-time detection |
| Reconciliation & Cash Application | 2 | Touchless processing |
| Treasury Automation | 5 | Real-time visibility |
Total: 20+ live implementations across 15+ large corporations
Research compiled from publicly available sources as of March 22, 2026
Scope: Large non-financial corporations (Fortune 500, S&P 500, Global 2000)
Enterprise-grade tools and platforms designed to transform how treasury teams operate — from forecasting to risk to payments.
Real-time treasury analytics powered by machine learning. Gain instant visibility into cash positions, exposure, and performance across all entities.
AI-driven risk assessment and mitigation. Continuously monitor counterparty risk, FX exposure, interest rate sensitivity, and operational threats.
95%+ accuracy cash forecasting using deep learning models. Ingest ERP, bank, and market data to predict cash positions across any time horizon.
Optimize payment timing, routing, and currency to minimize costs and maximize float. AI identifies the best execution strategy for every transaction.
AI-powered short-term investment analysis. Maximize returns on idle cash while maintaining liquidity requirements and policy compliance.
Centralize multi-entity, multi-currency treasury operations. AI coordinates intercompany funding, pooling structures, and cross-border compliance.
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