3365: BlackLine on Why AI Is Changing the Nature of Tech Leadership

In this episode of Tech Talks Daily, I welcomed back Sumit Johar, CIO at BlackLine, for a timely conversation about how AI is transforming finance operations from the inside out. When we last spoke earlier this year, AI was still in the early stages of enterprise experimentation. Just a few months later, everything has shifted.

Sumit shared how AI has moved well beyond pilot programs and into a space where business leaders themselves are actively requesting implementations. What stood out in our conversation was how this change has reshaped the relationship between CIOs and CFOs. The skepticism is fading, and a stronger sense of collaboration is emerging as both sides work together to drive transformation, align strategies, and reimagine outcomes.

We explored the growing need for CIOs to be “multilingual”—not in the linguistic sense, but in their ability to navigate both technology and business. It’s no longer enough to speak in code or technical jargon. CIOs must understand finance workflows, end-to-end processes, and the operational pressures CFOs face every day. This alignment is critical when evaluating how and where to deploy AI.

Sumit also unpacked some of the core challenges around AI integration, including data quality, long-term sustainability, security, and ethical use. Unlike previous SaaS waves, AI adoption carries more complex risk vectors. Demos might impress, but real-world deployments demand rigorous controls, responsible governance, and the right culture.

The conversation covered the ongoing build versus buy dilemma, why it’s context-specific, and how BlackLine approaches those decisions with long-term scalability in mind. Sumit also shared how internal councils and cross-functional collaboration have helped guide AI strategy across the organization.

If you’re leading digital transformation or building the next phase of AI integration in your finance or IT teams, this episode offers clear, experience-driven insights.

What’s your organization doing to prepare for AI not as a concept, but as a day-to-day operational reality?