Saas Sessions With Sunil

Every SaaS company is racing to “add AI,” but most are doing it wrong. In this episode, Megh Gautam, Former Chief Product Officer at Crunchbase, reveals the hard truths behind building AI into established SaaS products. From avoiding hype-driven features to building trust through data quality and transparency, Megh shares how Crunchbase rolled out AI-powered capabilities without breaking user trust. He also breaks down the internal alignment, cross-functional execution, and relentless feedback loops required to ship AI features that actually matter.Key Takeaways -Start with Real User ProblemsAI should not be an “add-on story” — it must solve a core customer pain.Crunchbase began with AI in search, a high-usage, high-friction feature.Prioritize critical workflows over “nice-to-have” gimmicks.Data Quality Determines TrustBad data in = garbage out, especially with AI models.Crunchbase spent a decade building clean, reliable data pipelines before layering AI.Trustworthy results require grounding AI outputs in ver