Our Writing
Our thoughts on software, design and digital transformation.
How to Get Scope Right in Agentic AI Products
According to McKinsey, agentic AI carries $2.6-4.4 trillion in annual potential across generative AI use cases, yet only one percent of organizations consider their AI adoption "mature." The gap lies in scope and permission discipline.
Read the articleVoice Bridge: The Standout Features of an Agentic Call Platform
The traditional customer support model is squeezed between two extremes. On one end, costly human staffing that's hard to scale. On the other, classic IVR systems stuck at "press 1 for information," leaving customers stranded.
Read the articleNative or Cross-Platform? Making the Right Call
A retail company chose cross-platform technology to cut mobile app development costs and speed up launch. Fourteen months later, performance issues forced them to switch to native.
Read the articleWhy Do Most AI Projects Get Shelved Within 6 Months?
According to research commissioned by DDN in collaboration with Google Cloud and Cognizant, more than half of the AI projects launched in the past two years have been delayed or cancelled. The problem is usually not the technology, but infrastructure and use-case selection.
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