In this episode of CFO Weekly, Bojan Belejkovski, Vice President of Finance and Treasurer at Voltava, joins Megan Weis to explore why AI adoption in finance is fundamentally about data discipline and operating-model design, not the AI tools themselves, drawing on his path from law to treasury, his work leading major ERP transformations, and his book, Treasury 2.0: Future-Proofing Finance with AI.
In this episode of CFO Weekly, Bojan Belejkovski, Vice President of Finance and Treasurer at Voltava, joins Megan Weis to unpack what it actually takes to build an AI-native finance operating model, and why bolting AI tools onto broken processes is the fastest way to fail. Bojan brings a rare, non-linear path into finance, starting with a law degree and a master's in international law before an operations management course at Wharton pulled him toward treasury, M&A integration, and enterprise finance transformation.
Bojan has led multibillion-dollar restructurings, post-merger integrations, and ERP transformations including SAP S/4HANA, Oracle Fusion, and Kyriba. He is the author of Treasury 2.0: Future-Proofing Finance with AI, built around his own D.A.S.H. framework: Digitize, Automate, Streamline, Harness AI. In this conversation, he explains why finance's real opportunity with AI isn't speed, it's turning finance from a backward-looking reporting function into a forward-looking decision engine, and why the failures of AI adoption are far quieter and more expensive than the failures of a bad ERP rollout.
What You'll Learn:
- Why an AI-native finance operating model is built differently than one with AI tools bolted on
- The D.A.S.H. framework for digitizing, automating, streamlining, and harnessing AI in treasury
- Where AI genuinely improves forecasting and scenario planning, and where human judgment must stay in control
- What separates organizations that truly operationalize AI from those stuck running endless pilots
- Why AI failures in finance are silent, and how strong data discipline prevents them
- How AI is reshaping treasury's role in enterprise decision-making
- The skills finance leaders will need most over the next three to five years
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