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Product updates, spend classification, and how finance and procurement teams ship outcomes with clearer data and practical AI.
What is Vendor Normalization? Why Clean Supplier Data is the Foundation of Spend Intelligence — read article
Vendor normalization is the process of cleaning, deduplicating, and consolidating supplier records so your spend data accurately reflects who you're buying from and how much you're spending with them.
Read articleWhat is Supplier Rationalization? A Practical Guide for Procurement Teams — read article
Supplier rationalization is the process of reducing your active supplier base to a manageable number of strategic relationships. Here's how to do it with data.
Read articleHow to Do Spend Classification Without a Consulting Project — read article
Spend classification has historically required consultants, long timelines, and significant budget. Here's how modern self service platforms have changed that equation.
Read articleIs Your Spend Data AI Ready? How to Build the Foundation Before the Initiative Stalls — read article
Most enterprise AI initiatives in finance and procurement stall not because of the AI, but because the underlying spend data isn't structured enough to support it.
Read articleWhat is Spend Classification? A Plain-English Guide for Finance and Procurement Teams — read article
Spend classification is the process of categorizing every dollar your organization spends by vendor, category, and type. Here's why it matters and how to do it right.
Read articleWhat is Tail Spend? How to Identify and Manage It Without a Consulting Project — read article
Tail spend is the long tail of low value, fragmented supplier transactions that most organizations ignore, and where significant savings and risk often hide.
Read articleIn a World Full of Machines, What Makes You Human Still Stands Out — read article
Why the operator standard matters: three questions to sort AI products when the work you do has to be defended.
Read articleHow SpendCraft Thinks About AI — read article
A note for buyers, IT teams, and AI governance reviewers evaluating what kind of AI is in SpendCraft, where it sits, and why it is built this way.
Read articleOriginality Still Wins in the Age of AI — read article
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.
Read articleBuilding Broad: Designing AI That Understands Business, Not Just Tasks — read article
For all the hype around artificial intelligence, most enterprise deployments remain narrow, brittle, and disconnected.
Read articleBeyond Automation: Building Algorithmic Enterprise — read article
Enterprises have spent the past decade teaching machines to do what people do, just faster.
Read articleWe Are Living in the Experiment — read article
Past technologies changed human behavior in obvious ways. Radio, TV, even the early internet were accelerators of access. They opened doors faster, spread information farther, democratized knowledge.
Read articleAI: What’s Real, What’s Hype, A Field Guide for Enterprises (2025 Edition) — read article
The demo years are over; CFOs want ROI, not riddles. Boards are asking why the pilot never scaled. from science fiction.
Read articleAI or AI-Washing? — read article
In the early 2000s, everything was suddenly “web-enabled.” Later, everything became “cloud-based.”
Read articleLarge eXpertise Model — read article
Every technology hits a breakthrough moment, and AI is no exception. Over the last decade, industries have aggressively pursued AI integration at every level.
Read articleBusiness Leaders Hold the Keys to AI Success — read article
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.
Read articleThe Corporate Hippocampus — read article
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.
Read articleCognitive Interfaces in the Age of AI — read article
For years, software interfaces have been designed to help users do things. Fill a form. Run a report. Complete a task. Input to Workflow to Output. The interface is task-centric, predictable, and rigid by design.
Read articleWhy Enterprise AI Won’t Go Viral, and Why That’s a Good Thing — read article
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.
Read articleWhy Spend Craft — read article
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.
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