Blogs
Every quarter, finance teams spend the equivalent of two full workweeks just gathering and cleaning data. According to FP&A Trends' 2025 benchmark survey, 46% of FP&A professional time goes toward dat...
Where Should CFOs Focus AI Investment First?
NVIDIA's 2026 State of AI in Financial Services survey found that 89% of respondents reported AI increased revenue and decreased costs simultaneously — an...
McKinsey estimates generative AI could deliver $200 to $340 billion in annual value for banking alone — equivalent to 9 to 15% of operating profits. Yet most finance teams are still using AI to draft ...
When Jack Dorsey announced in late February 2026 that Block would cut from over 10,000 employees to just under 6,000, the AI narrative wrote itself. Dorsey explicitly framed it around intelligence too...
Finance teams do not lose their strategic relevance to AI because AI is smarter. They lose it because they continue to define finance as execution work — faster closes, cleaner reconciliations, bigger...
When Claude's latest capabilities update landed in late January 2026, there were no fireworks. No dramatic product launch. But in the days that followed, roughly $285 billion was wiped from the market...
Most finance functions are not broken. They are quietly degraded — by manual workarounds that became standard practice, by processes that were never designed to scale, and by problems nobody bothered ...
Most finance leaders using Claude are doing it wrong. Not because they're using the wrong prompts — but because they're using the right prompts over and over, rebuilding context from scratch every sin...
Your P&L says margins are fine. Your team says they're drowning. Your cash position tells a different story entirely. The disconnect almost always traces back to the same blind spot: you don't actuall...
If your finance team is still keying invoices into the ERP manually, the problem isn't that you haven't adopted AI. The problem is that your processes were never designed for the volume, speed, and co...
Most AI transformation plans in finance fail for one boring reason: they start with tools, not people and workflows. Someone evaluates three vendors, picks the shiniest one, rolls it out to the team, ...
