How to Build an AI-Native Team with Rytis Lauris of Omnisend

Smart Marketer

How to Build an AI-Native Team with Rytis Lauris of Omnisend

Smart MarketerMay 27, 2026

Why It Matters

As AI tools proliferate, businesses risk superficial adoption that yields little ROI. This episode offers a practical roadmap for leaders to embed AI into daily workflows, driving efficiency and competitive advantage. For marketers and SaaS founders, the insights are timely because the race to become AI‑first is accelerating, and early, structured implementation can differentiate winners from laggards.

Key Takeaways

  • AI adoption requires intentional, top‑down leadership.
  • Monthly AI Days force hands‑on learning and tool creation.
  • Simple point‑solution agents outperform complex, all‑purpose AI tools.
  • Treat AI assistants as products needing continuous iteration and ownership.
  • Align AI tools with existing workflows to avoid extra work.

Pulse Analysis

In this SmartMarketer episode, Omnisend CEO Rytis Lauris shares how his 216‑person organization is shifting toward an AI‑native culture. He explains that merely handing out premium ChatGPT or Gemini accounts never sparked real change; instead, leadership instituted a monthly "AI Day" where routine tasks are paused and every employee experiments with AI. This top‑down mandate creates dedicated time for hands‑on learning, rapid prototyping, and cross‑team collaboration, turning curiosity into actionable tools that directly impact daily workflows.

Lauris outlines six hard‑earned lessons, the first two emphasizing simplicity and product thinking. Teams built narrow‑focus agents—such as a sales follow‑up bot that transcribes calls, extracts promises, and drafts replies, and an influencer‑review tool that trims video‑approval time from ninety to twenty hours. These point‑solution assistants outperform sprawling, all‑purpose AI platforms because they integrate with familiar tools like Google Sheets and Slides. He also stresses that AI assistants must be treated as products: launch a minimum viable version, assign a human owner, collect feedback, and iterate continuously. Even high‑performing support bots, which now resolve 40 % of tickets, require full‑time supervisors to retrain models as underlying LLMs evolve.

For business leaders, the episode offers a pragmatic roadmap to embed AI without disrupting existing processes. By aligning AI tools with current workflows, companies capture immediate time savings, improve customer experience, and stay ahead of competitors rapidly adopting generative technologies. The key is to view AI as an employee—requiring onboarding, supervision, and ongoing improvement—rather than a one‑off project. This mindset shift not only reduces operational costs but also builds a resilient, AI‑augmented workforce ready for future innovations.

Episode Description

AI can help your team move faster, work smarter, and free up hours of repetitive work… but only if you build the habits, systems, and ownership to actually use it. In this live session from Mentor Table Nashville, Rytis Lauris, co-founder and CEO of Omnisend, shares the six practical lessons his company learned while transforming […]

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Show Notes

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