I'm Arjun Krishnan. My mission is to help Treasury leaders navigate the shift to Enterprise AI — with the judgment, controls, and trust the profession is built on.

Enterprise AI Solution Architect · Author · Speaker · Founder, Valorean · Former EY Managing Director · CTP

Arjun Krishnan

On the Treasury Update Podcast

Two conversations with Craig Jeffery

Strategic Treasurer

Episode #420 · Now available Episode 1

AI: The Automation Spectrum and Examples in Treasury

A conversation on the automation spectrum in treasury — from rules-based processing and analytics to AI assistance and autonomous agentic systems. Practical use cases across cash forecasting, hedge management, fraud detection, payment processing, and reconciliation, alongside the clean data, controls, governance, explainability, and human oversight that make enterprise AI trustworthy in production.

Episode #422 · Now available Episode 2

AI Limitations and Opportunities in Treasury

A conversation on five key limitations of enterprise AI in treasury — data quality, pattern-based reasoning without true understanding, difficulty handling novel situations, variable outputs, and limited explainability — and the opportunities and solutions that address them, including AI-assisted data cleanup, anomaly detection, stronger controls, human oversight, and safer agent-based system design.

And available now

Enterprise AI for Treasury

A Guide to Agentic Implementation

By Arjun Krishnan, CTP · Foreword by Brad Larson

Enterprise-wide systems have transformed how treasury and finance teams manage cash, risk, payments, and liquidity. Automation executes. Analytics report. And yet, a significant part of their working day is still spent on what the systems cannot quite finish — reconciling exceptions, investigating anomalies, validating forecasts, and converting fragmented signals into decisions.

That is where agentic AI changes the equation — bringing intelligence to the data and decisions that automation alone cannot resolve. Treasury now has access to systems that can reason across data sources, interpret context, prioritize what requires attention, and act within boundaries the treasury professional defines.

Enterprise AI for Treasury is a practitioner's guide to that transformation — written from a business perspective and designed for anyone with a stake in getting this right: the treasurer evaluating AI investments, the CFO trying to separate signal from noise, the analyst curious about how these tools will affect their work, the technology professional exploring treasury applications, and the entrepreneur building a business where cash flow is the lifeblood of growth.

Available in paperback and Kindle

Read the book on Amazon

Upcoming

Attending EuroFinance Barcelona 2026

I'll be there to listen, learn, and connect with treasury practitioners thinking about the same questions. If you're planning to attend and would like to connect, please do drop me a line at arjun@valorean.ai.

Let's talk.

If something in the podcasts, the book, or the case studies sparked a thought or questions, or if you're working through a specific treasury transformation or operational problem and would welcome a second opinion, please reach out.

You can connect with me directly at arjun@valorean.ai

Or if you'd rather book a time to talk directly:

Schedule a call