Leading the Shift to Customer-Driven Development
Learn how integrating rapid discovery cycles into your workflow can lead to superior digital products that delight customers and outpace the competition.
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03
Jul
Why AI Projects Fail: The Human Factors Analysis
Most AI implementations fail not because the technology doesn't work, but because organizations treat them as technology projects instead of people projects. This analysis reveals the four human factors that destroy 80% of AI initiatives.
11 min read
26
Jun
The Design Problem We Call User Resistance
Recent research analyzing 63 studies reveals that what we call "user resistance" to technology isn't about fear of change—it's valuable feedback about design failures that make work harder, strip away meaningful judgment, ignore human workflows, and break essential collaboration.
5 min read
30
May
Beyond ChatGPT: How Specialized AI Models Change the Economics of Business Automation
Successful AI implementation isn't about choosing the most advanced technology—it's about matching tools to actual business needs through systematic experimentation and optimization.
3 min read
21
May
The False Promise of AI Deregulation
The House's proposed decade-long ban on state AI regulation creates a dangerous oversight vacuum just when we need thoughtful rules to ensure AI systems serve human needs rather than exploit our vulnerabilities.
3 min read
12
May
The Stakeholder Alignment Problem in Healthcare AI
As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
4 min read