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It’s time for technology companies to decouple the belief that increased revenue is linked to greater headcount.
Artificial Intelligence (AI) has become the driving force behind automating tasks, elevating employee value, and propelling revenue growth in this industry. To achieve this, companies are embracing an AI-driven path of evolving efficiencies and seeking innovative strategies to augment revenue streams, without incurring substantial expenses.
For decades, there has been a link between the size of a sales organization and the amount of revenue generated. Leaders rightly recognize a correlation between investing more in sales organizations and more revenue for the company—but AI is changing that model.
Initially, we’ve seen AI being deployed by businesses around the world. These tools have been deployed in areas like customer support and success, where the work was relatively simple and linear, making successful AI deployment easier.
Losing existing customers, also known as churn, poses a significant threat to all businesses. Customer success teams ensure positive client experiences influenced by numerous factors that generate vast data. Manual processing of this information to assess customer retention potential is time-consuming, but AI can accomplish this task swiftly.
Today, AI tools can assess the likelihood of churn and underlying reasons, and suggest areas for enhancing the customer experience. This enables human representatives to collaborate with customers to address challenges and concentrate on personal interactions, rather than data collection and analysis. Recently, we deployed the Three-Layer Model, designed to better decrease churn by applying customer health scores, predictive analytics, and machine learning propensity models. As AI solutions advance, these functions will become more efficient, optimizing human effort and increasing each employee’s value.
