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Send a text How SaaS CEOs Should Navigate AI-Native, AI-Augmented, and Bolt-On AI Strategies to Protect Revenue and Reduce Churn Guest: Ken Lempit, President & Chief Strategist at Austin Lawrence Group -- AI is not just another feature cycle — it’s an inflection point for SaaS. In this episode of SaaS Backwards, Ken Lempit steps into the guest seat to break down what AI really means for SaaS companies, especially mid-market and enterprise software vendors trying to protect revenue while planning their next product evolution. Ken draws a powerful parallel between today’s AI shift and the early 2000s transition from client-server to cloud — arguing that this AI cycle is moving faster and carries even greater competitive risk. He explains the critical differences between: - AI-native SaaS products
- AI-augmented platforms
- Bolt-on AI features
And why the wrong strategy could quietly increase churn, shrink pipeline, and erode relevance. You’ll also hear: - How to diagnose whether you have a GTM problem or a product relevance problem
- Why “vibe coding” poses real risk to mid-market SaaS vendors
- Short-term product and pricing moves to survive the next 12–18 months
- Lessons from BackEngine’s pivot from conversation mining to revenue enablement
- Why your AI narrative may matter more than your marketing spend
If you’re a SaaS CEO, founder, or go-to-market leader wondering how aggressive your AI roadmap needs to be, this episode is your strategic wake-up call. Get a free SaaS GTM Checkup: https://info.austinlawrence.com/saas-gtm-checkup ---
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