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From Hype to Habit: How We're Building an AI-First SaaS Company—While Still Shipping the Roadmap

Original: From Hype to Habit: How We’re Building an AI-First SaaS Company—While Still Shipping the Roadmap

832 views · Jul 23, 2025 · 19:29 min · Watch on YouTube ↗
Takeaway

AI-first transformation is multi-dimensional and continuous — invest in ritualized discovery and process-as-product rather than chasing single feature wins.

Summary

  • Sprout Social shares an in-progress AI-first transformation across three dimensions: strategy, ways of working, and people.
  • Strategy shift: from sprinkling AI into features to reimagining workflows so unified value crosses team boundaries (Woofill puppy-health analogy).
  • Ways of working: ritualized discovery (planned experimentation cycles), MVPs for learning not just launch, treating process as a product evaluated by outcomes.
  • Smart velocity: shipping fast with clarity beats speed without direction or direction without momentum.
  • Embrace ambiguity — three-month roadmaps feel stale in three weeks because what's possible is changing weekly.
ai-firstsaastransformation
Original description
What does it really take to move a modern SaaS company from AI experimentation to becoming truly AI-first?

At Sprout Social, we’re in the midst of that transformation—rearchitecting strategy, systems, teams, and incentives to put AI at the heart of how we think, build, and deliver value. This is a story in motion: a behind-the-scenes look at how we’re evolving from isolated AI feature experiments to an AI-native operating model.

I’ll share what we’re learning as we navigate the innovation dilemma—integrating disruptive AI capabilities without breaking what already works or our roadmap. That includes rethinking how we define success, how we hire, reward, grow talent, and how we handle legal and ethical complexity without slowing down. We’ll explore the real-world tensions between rapid innovation, value delivery, making progress on Responsible AI, all while elevating internal AI fluency, and engaging with the broader AI ecosystem to stay at the edge.

This isn’t a playbook from the finish line—it’s a candid reflection from deep inside the journey.

About Rossella Blatt Vital
Rossella Blatt Vital is a passionate AI leader with nearly 20 years of experience turning data into business value—from hands-on research and model-building to strategic executive leadership. She began her journey with a PhD in machine learning, focusing on brain-computer interfaces and cancer detection, and spent years writing code, building models, and shipping AI-powered products before stepping into leadership roles across startups, academia, and Fortune 100 companies.

As VP of AI, Data, and Data Science at Sprout Social, Rossella leads the company’s AI transformation—driving strategy across engineering, applied science, and analytics. Her team is building AI-first capabilities across product experiences, platform infrastructure, and foundational data systems.

She’s passionate about building meaningful technology—and the teams that power it—with the belief that AI, when led with vision and integrity, can help shape a more thoughtful and human-centered future.

About Deepsha Menghani
Deepsha Menghani is a passionate AI leader with over a decade of experience translating data and machine learning into meaningful business impact—from predictive modeling and customer analytics to large language model applications. Her career spans hands-on data science, applied AI, and strategic leadership across global tech organizations. As Director of Engineering – AI at Sprout Social, her team is responsible for embedding AI into core product experiences and delivering insights that accelerate growth, improve customer understanding, and inform business strategy across the company.

She’s especially passionate about building AI that is not only technically robust, but also responsible, human-centered, and aligned with real-world decision-making.

Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter