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Cognida acquires Automate to expand enterprise AI automation across finance and operations.

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Field notes from enterprise AI in production

Perspectives from the engineers and leaders building AI inside operating businesses what shipped, what stalled, and what we would do differently.

Explore four common reasons churn reduction projects fail, from late predictions and false signals to fragmented data and unexplained risk scores.

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Explore real deployment lessons on prediction timing, progressive data enhancement, Customer Success involvement, explainability, and workflow adoption.

August 25, 2026

Follow a three-phase framework for moving churn prediction from business scoping and model development to deployment within Customer Success workflows.

August 28, 2026

Discover four practical strategies for building timely, reliable, explainable churn predictions that Customer Success teams can act on.

August 20, 2026

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