Governed AI: The Part Nobody Budgets For

Hero Title card for "Governed AI: the part nobody budgets for" by Dip Majumder, Founder & CEO of Performance AI. Beside the title is an example audit record for a loan. The AI reads the approved loan record and links three sources. It drafts a borrower email but doesn't send it. The closer fixes one date, then approves and sends the email herself. The record is kept so it's ready for an examiner.

Governed AI: The Part Nobody Budgets For By Dip Majumder | Founder & CEO, Performance AI Governance is not what keeps enterprise AI from moving faster. Increasingly, it is what allows AI to move into production at all. On April 17, 2026, the Federal Reserve, OCC, and FDIC retired SR 11-7, the model-risk guidance banks […]

AI Agents Are About to Operate Your Business

At a recent InnovEYtion Summit hosted by Ernst & Young in Caracas, conversations with operators and risk leaders kept returning to the same place. In the room—and in the discussions we spent time on—attention quickly moved away from models and toward something more fundamental: Data. And enterprise safety. AI Is Moving From Insight to Execution […]

AI as Capital, Not Expense

How CFOs Should Think About the Balance Sheet AI adoption is often framed as a technology decision or an accounting question. It is neither. It is a capital allocation decision. The real issue for finance leaders is not whether AI should be expensed or capitalized, but whether it is being deployed as consumption or as […]

When 25,000 AI Agents Become a Question, Not an Achievement

As companies race to scale artificial intelligence, the harder question is whether growth signals progress, or mounting complexity. When McKinsey’s CEO Bob Sternfels said at CES that the firm now operates with roughly 25,000 AI agents, he was describing more than a technology rollout. In this framing, AI is no longer just a set of […]

A Practical Board Primer on AI Heading Into 2026

After several years of enterprise AI adoption, the conversation is entering a different phase. Most organizations are no longer debating whether AI belongs in the business. Teams have experimented, deployed tools, added AI features to existing systems, and in many cases built internal applications. There has been real progress. Certain tasks are faster. Some decisions […]