When Atif Khan hears “AI first,” he isn’t thinking about adding a single feature. He’s thinking about how a company sees its problems and whether teams can imagine solutions they couldn’t have built before.

As Chief AI Officer at Messagepoint, he’s leading a shift that touches everything from how teams work with data to how they design customer communication workflows.

In this episode, Daniel and Atif talk about what it takes to make AI first thinking real inside a business, why every team (not just engineering) needs to work with AI tools, and how multi-agent systems are turning complex processes into faster, more collaborative workflows.

He also shares how to spot genuine AI use cases, what practical governance looks like, and why finishing projects matters as much as starting them.

🔑 What You’ll Learn in This Episode

• ✅ What it means, in practice, to be an AI first organization
• ✅ How to find use cases that AI can actually improve
• ✅ Why every team needs to learn how to work with AI tools
• ✅ How multi-agent systems research is shaping today’s AI agent use cases
• ✅ Why governance will become part of everyday AI use

🔗 Resources & Links

• 📖 Connect with Atif: https://www.linkedin.com/in/atifikhan/
• 🤖 Learn more about Agentic AI:
  • Gaming, Goats & General Intelligence with Frederic Besse Google DeepMind https://www.youtube.com/watch?v=64pndvbbokA
  • Gemini 2.0 and the evolution of agentic AI with Oriol Vinyals Google DeepMind https://www.youtube.com/watch?v=78mEYaztGaw
• 📩 Subscribe for text summaries: https://manary.haus/podcast#haus
• 👉 Have a guest in mind? Reach out to Daniel at [email protected]

📌 If your team is working on an AI initiative and you’re figuring out where to start, share this episode with them!