
Product updates, at times our thoughts!

Every technology hits a breakthrough moment, and AI is no exception. Over the last decade, industries have aggressively pursued AI integration at every level.

At Spend Craft, we offer several key features like automated data normalization, self-service capabilities, and AI Agents. Our goal was to let users directly interact with the AI.

AI has entered every corner of our lives. From apps that finish your sentences to tools that generate playlists or images in seconds, consumer AI feels instant, fun, and everywhere.

For years, software interfaces have been designed to help users do things. Fill a form. Run a report. Complete a task. Input → Workflow → Output.The interface is task-centric, predictable, and rigid — by design.

Past technologies changed human behavior in obvious ways. Radio, TV, even the early internet — they were accelerators of access. They opened doors faster, spread information farther, democratized knowledge.

AI has arrived in the enterprise with extraordinary capabilities. It can summarize contracts in seconds, classify millions of invoices, forecast demand with precision, and surface insights that once took teams weeks.

AI can generate a business plan. That part is true. But let’s be real—how many of those plans were tested? How many were pragmatic? Because one thing you quickly learn about AI.

Every failed AI project has one common thread: it was treated as a technology project.Models built in silos. Pilots without purpose. POCs that never touched the ground.

In the early 2000s, everything was suddenly “web-enabled.” Later, everything became “cloud-based.”

Enterprises have spent the past decade teaching machines to do what people do — just faster.

For all the hype around artificial intelligence, most enterprise deployments remain narrow, brittle, and disconnected.

The demo years are over; CFOs want ROI, not riddles. Boards are asking why the pilot never scaled. from science fiction.