UX Stories Podcast

How He Uses AI to Catch Unhappy Clients & Predict B2B SaaS Revenue


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Your B2B SaaS forecasts still feel more like a guess than a system.
That uncertainty hides churn risk, weak deals, and stalled revenue growth.
Watch this episode to learn how a CEO uses AI to turn messy ops into predictable revenue.
AI is evolving faster than most SaaS leadership teams can realistically adapt to.
In this episode, Naushad Parpia—CEO and founder of Plative and Earth Side Farms—shares exactly how he’s weaving AI into the fabric of his business, from sentiment-scoring client calls to automated win–loss analysis and forecasting. He breaks down how his team uses AI agents across systems to surface risks early, improve project delivery, and make their forecasts feel less like a guessing game and more like a control panel. You’ll also hear his take on the future of work, why empathy matters more as AI scales, and how sales and customer feedback still sit at the core of every great strategy.
If you’re a B2B SaaS leader trying to move from reactive chaos to proactive, AI-augmented growth, this conversation is a blueprint.
Key Insights from This Episode:
✅ AI sentiment on calls as an early warning system
✅ Using AI agents to run win–loss analysis on demand
✅ Making SaaS forecasting more accurate and less political
✅ Automating reports so managers focus on outcomes, not admin
✅ Balancing AI efficiency with empathy and culture
✅ Why “sales cures all” still matters in an AI era
✅ How feedback loops keep your GTM motion evolving
✅ Why hiring great people is harder—and more important—than ever
Resources & Links:
✅ Unlock AI-driven forecasting and win–loss insights with Naushad’s team at Plative: [https://www.linkedin.com/in/naushadparpia]
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UX Stories PodcastBy Lihong Hicken