If your finance team spent the last week of December buried in spreadsheets, manually reconciling year-end numbers, refreshing dashboards, and trying to explain variances line by line—you're not alone. It’s the same grind year after year. But it doesn’t have to be. This January is different. For the first time, enterprise-ready AI tools are available inside  the systems you already use. Microsoft Copilot, Gemini, and deterministic small language models (SLMs) now let you ask

Here’s the traditional model: you hire a consulting firm that assigns four people to your team. They interview users, gather requirements, maybe train a model, and build a prototype... someday.  Here’s our model: you give us a process that’s breaking your finance team. In 2–4 weeks, we hand back a working solution that runs inside Excel or SharePoint, built on deterministic AI, scoped tightly, and scoped once.  That’s it.  This isn’t a knock on consultants — it’s a knock on i

If you're still selling an AI product, good luck.  This fall, enterprise buyers made a subtle but decisive shift. They weren’t looking for new SaaS logins or another monthly subscription. They wanted results. Inside their existing tools. Without six-month deployments or $500K contracts.  What won? Services.  Not managed services or staff augmentation. Not "AI consulting" with 100-slide decks. But modular, fixed-scope service blocks that solve a specific problem in 2–4 weeks. 

October was the turning point. Microsoft expanded CoPilot across Excel, Teams, SharePoint, and PowerPoint — and it was suddenly clear that many niche AI platforms were on borrowed time.  Including some of the tools we’ve deployed for our clients.  We’d spent the better part of a year building around a conversational analytics layer for finance. But the moment CoPilot started reading tables and summarizing slide decks inside the Microsoft 365 suite, that model broke.  Instead