AI Strategy

AI Governance Framework: Eight Practical Controls for Business Leaders

AI GOVERNANCE FRAMEWORK FOR BUSINESS LEADERS An AI governance framework becomes real when an output can change a payment, a contract decision, an inventory order or an executive metric. Before that point, governance can look like policy work happening somewhere outside the project. After that point, it becomes part of whether the system is safe

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Databricks Genie Tutorial: Build Your First AI/BI Agent

BEGINNER DATABRICKS TUTORIAL Databricks Genie gives business users a familiar chat interface for asking questions about company data. Instead of starting with SQL, they can ask a question such as “What were gross sales last quarter?” and receive a written answer, result table, chart, and the SQL used to calculate it. If you have used

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Databricks Genie Tutorial: How Business Context Improved Accuracy From 0% to 93%

PRACTICAL AI EXPERIMENT This Databricks Genie tutorial tests a simple question that matters far more than whether an AI tool can write SQL: does the agent understand what the business means? I gave the same Genie Agent the same six tables and fourteen benchmark questions twice. The data stayed fixed. The questions stayed fixed. The

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AI Inventory Management: I Tested ChatGPT on Reorder and Overstock Decisions

PRACTICAL AI EXPERIMENT Inventory reports have a habit of looking simple until you actually have to decide what deserves attention. A product can be below its reorder point and still be fine because stock is already arriving. Another can look healthy today while a long supplier lead time means it will run out before replacement

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AI Contract Review: I Tested ChatGPT Against a Contract Playbook

PRACTICAL AI EXPERIMENT Vendor contract review can involve a surprising amount of repetitive comparison work. A reviewer reads a clause, checks the company’s contract playbook, decides whether the position is acceptable, and then moves on to the next clause. Multiply that across a long agreement and a steady stream of vendors, and a fairly straightforward

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AI for Accounts Payable: I Tested ChatGPT on Invoice and PO Matching

PRACTICAL AI EXPERIMENT Accounts payable has a lot of work that is individually quite simple and collectively quite annoying. A vendor sends an invoice, someone finds the purchase order, and then the checking begins: quantity, unit price, freight, payment terms, total, and whatever special instructions happened to be written into the PO. I wanted to

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AI Pilot with Guardrails: From Demo to Business Workflow

An AI pilot should test what happens when a useful model meets a real business process. In a small accounts payable experiment, I asked ChatGPT to compare fictional vendor invoices with purchase orders. It returned the expected classification for all 12 invoice records. That was encouraging. It was also a controlled test with readable, simple

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AI Product Design

Designing AI Products People Actually Use The company, products and people in this article are an illustrative composite, not a single measured deployment. The demo went perfectly. Clean visualizations showing predicted demand for the top 100 products. Confidence intervals indicating forecast reliability. Historical accuracy metrics proving the AI was working better than previous methods. The

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