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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

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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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