SaaS Backwards Episode 193 - SaaS AI Readiness: Why Most GTM Teams Aren’t Ready for Agents

Guest: Cliff Simon, CEO & Founder of Polaris Ops

AI readiness is quickly becoming one of the biggest strategic gaps in SaaS go-to-market.

In this episode of SaaS Backwards, Ken Lempit sits down with Cliff Simon, CEO and founder of Polaris Ops, to unpack why so many SaaS companies are rushing into AI without the operational maturity needed to make it work. While pressure from boards, investors, and executive teams keeps rising, Cliff argues that most GTM organizations still lack the basic infrastructure required to deploy AI effectively.

The conversation starts with a practical definition of AI readiness inside SaaS revenue operations. Cliff explains that before companies automate anything, they need strong data hygiene, clear lifecycle definitions, documented business processes, and shared metrics for success. Without those foundations, AI does not eliminate complexity — it amplifies it.

Ken and Cliff also explore where AI is already creating measurable value in SaaS go-to-market teams. From time saved on operational work to AI-assisted call data capture, lead routing, TAM analysis, and custom signal detection, the episode outlines where agentic AI can drive efficiency and revenue impact when it is built on the right systems.

They also cover the hidden risks behind fast AI adoption. Cliff shares why security gaps, fragile vendor dependencies, and underestimating ongoing maintenance can create major problems for SaaS teams trying to stitch together new AI tools too quickly. He also offers a timely perspective on the changing build-versus-buy decision, as AI lowers the cost and speed required to create internal tools.

For SaaS founders, CROs, CMOs, and RevOps leaders, this episode is a strong reminder that AI success is not just about tool adoption. It is about whether your go-to-market engine is structured well enough to support automation, insight generation, and scalable execution.

Key takeaways:

• AI pressure is rising across SaaS, but operational readiness is lagging behind
• Clean CRM data and documented GTM processes are prerequisites for useful AI deployment
• AI can create measurable ROI through time savings and better revenue operations execution
• Agentic AI use cases in SaaS include TAM analysis, lead routing, workflow automation, and signal detection
• Security, compliance, and vendor fragility are real risks in fast-moving AI adoption
• The build-versus-buy decision is changing as internal AI tools become faster and cheaper to create

Prefer to watch? Check out this episode's video here. 

Other resources to check out:

Interview with Vinay Bhagat, Founder and CEO of TrustRadius who publishes a yearly report about how B2B buyer behavior is changing.

The Lead Gen Mistake I Guarantee You’re Making – how to create content that better identifies intent from today’s b2b buyer.

And, if you want an outside look at your content with actionable advice, take advantage of our Content Audit. Valued at $20K in free consulting