How do you handle the challenge of model drift and ensure your AI models remain accurate over time?

This may be more specific to our Customer Success organization, but at the current stage of AI integration, we’re primarily leveraging AI solutions through our tools strategy. This approach allows us to avoid the ongoing responsibility of maintaining model accuracy over time, enabling us to focus instead on the thoughtful integration of AI platforms into our operational rhythm—rather than investing in homegrown development and upkeep. That said, we’ve intentionally built a process that encourage ...Read More

Model drift happens because customer behavior, usage patterns, and even market conditions keep evolving. To manage this, we monitor model accuracy against defined KPIs, set retraining cadences with the latest data, and run A/B testing with shadow models before deploying changes. We also keep humans in the loop i.e CSMs validate churn scores or expansion predictions such that the drift is caught early. If confidence drops below threshold, we fall back to proven rule-based processes to ensure cust ...Read More

Very much from the context of AI as an assistant for Customer Success functions rather than a replacement, CS team members should be able to know whether an AI produced or assisted outcome is valuable and any CS team member needs to be able to fall back on themselves and their own I(ntelligence) if it turns out to be wild gibberish. They need enough enablement, confidence, and permission to ignore the AI, and their leadership needs to make all this true. Create an outcomes framework and test aga ...Read More

For someone who does not know what model drift is, here is the pre-read: Model drift occurs when the performance of a machine learning model degrades over time because the data it was trained on is no longer representative of the real-world data it encounters. Imagine you have a model that predicts the weather. You trained it using data from the past eight years, and it's pretty good at telling you if it will rain tomorrow based on temperature, humidity, and wind speed. This model works well ini ...Read More