There’s a version of this story you’ve probably lived. The close is approaching, someone pulls a number from a file that hasn’t been updated, and an hour later you’re untangling a discrepancy that shouldn’t exist. The fix takes 20 minutes. Finding the source took two days. This is the part where most articles would tell…
Most finance leaders at large organizations have made the right investments. A modern ERP, cloud data platforms, planning tools, and more. And now, increasingly, AI — for forecasting support, anomaly detection, close acceleration, and reporting at scale. The technology stack looks right. But when the board starts asking about results, the returns are harder to…
Every CFO I talk to right now is under some version of the same pressure: the board wants AI, the business wants faster answers, and the finance team is often still reconciling spreadsheets. The promise of AI in finance is real. But so is the gap between that promise and what most organizations are able to deliver. I…
Say your reconciliation tool flags a break between two ledgers, and now there’s a number that needs an explanation. The AI-generated summary says the mismatch is a timing difference, transaction posted late on one side. Reasonable. You move on. Then your controller asks which transaction, on which date, and why it posted late instead of…
There’s a specific moment every finance leader knows. A number is about to leave the building — headed for the board deck, the earnings call, or the audit committee — and right before it goes, you pause. You want to know where it came from, and you want to know it will still make sense…
If you work in finance, you’ve probably been handed an AI tool in the last year or so. Maybe a copilot in your spreadsheet, maybe something bolted onto the close, maybe a chatbot that promised to answer any question about the numbers. And maybe, if you’re being honest, it hasn’t changed your Tuesday very much. You’re not doing it wrong. The tool isn’t broken. What’s missing is the part nobody put on the slide: AI is only…
Atlassian’s State of Developer Experience survey asked 3,500 developers what AI capability would actually move the needle for them. Rather than faster code generation or better autocomplete, what they actually wanted most was AI that helps their teams plan and spec work clearly enough for agents to execute it reliably. That answer points to a…
Kyndryl and Broadcom on Thursday rolled out new consulting services for VMware Cloud Foundation (VCF), tweaking the initiative to be an AI program and pledging to invest in the skills development of several thousand certified Kyndryl consultants, architects, and delivery specialists to enable agentic workflows. “Against the backdrop of rising sovereignty demands, enterprises are rationalizing…
Every agent you add multiplies your output, but it also multiplies the surface area your governance has to cover. The question every CIO should be asking is how to review at your new output volume without lowering your standards. The answer is to be deliberate about what a person looks at and what the system…
Uber’s experience highlights a new enterprise AI challenge: adoption can scale faster than an organization’s ability to measure economic value. As companies move from AI pilots to widespread deployment, the question is no longer whether employees will use AI — it is whether every AI investment can justify its cost. Generative AI is changing the…