Twinkle Bandla

Before AI, lifecycle management was a lot more manual. It mostly meant keeping track of key milestones, collecting feedback when we could, and stepping in to fix things w...

This is an interesting question and needs a good perspective on how AI and humans can interact effectively.It’s going to be a collaborative and interactive framework wher...

Thanks for the interesting question.Performance assessment on any new rollout of AI models plays a crucial role.Think from the perspective of a new agent/AI feature that ...

Driving experience through AI is interesting as well as becomes challenging if not integrated with the right data sources and right rules defined.Today, in the world, the...

The Role of Customer Success Professionals Is Becoming More Efficient and Data-Driven. I would like to answer this question by relating to the CSM core activites and how ...

It all starts with building an efficient process for launching and managing milestones throughout your customer journeys — primarily through 1:M initiatives such as email...

AI-driven insights always work hand in hand with data-driven solutions.The more you train the model with quality data, the more accurate the insights AI can provide. Toda...

I want to refer to an interesting topic here on how AI complements resource management. It is a continuous process of reskilling and upskilling resources to best fit the ...

The key to assessing long-term impact is understanding and connecting the leading and lagging indicators.This question has two aspects:How to measure the success of AI-dr...

Interesting question!AI has influenced many strategies—especially around building smarter playbooks for risk mitigation, driving cross-functional collaboration, and evalu...