Annika Navac
Annika is a multifamily marketing strategist who helps organizations turn emerging ideas into practical, people-centered strategies. With experience spanning brand, communications, customer experience, and marketing operations, she brings a thoughtful and refreshingly honest perspective to the rapidly changing world of AI.
Rather than treating AI as a magic solution, Annika approaches it like any good relationship: with curiosity, clear expectations, healthy boundaries, and a willingness to walk away when the fit is wrong. She is especially interested in helping marketers understand how their individual working styles influence the tools they choose and the results they achieve.
Through engaging, practical sessions, Annika helps multifamily professionals evaluate AI confidently, preserve the human voice behind their brands, and build flexible toolkits that support their teams without replacing their judgment, creativity, or connection.
Wednesday Day 1-February 24
Workshop/Hands-On Tutorial #5: It's Okay to See Other AI
Finding the right AI isn't about chasing the latest trend or finding "the one." Different tools excel at genuinely different jobs, and the best fit is the one that complements how you work, who you're speaking to, and what your business actually needs. We'll begin with a live, interactive quiz that reveals your AI compatibility style and lets you watch the room sort itself in real time. Then we'll explore the full relationship arc: making a strong first impression with a real task from your week, spotting green flags, and knowing it's serious when someone else on your team can use the process without you. We'll also cover the warning signs: when AI makes you stop sounding like yourself, when a tool is no longer earning its subscription, and when it's time to break up. Finally, we'll "meet the friends" - addressing brand voice across a portfolio, responsible AI use in client work, and human review for resident-facing content. This isn't a trendy tool roundup. Attendees will leave with a practical, repeatable framework for evaluating, adopting, and combining AI tools without overdoing it or losing their personal style. Key Takeaways:
- Discover your AI compatibility style: how your multifamily role and working style shape what you actually need from a tool, and the specific way that style tends to get you burned.
- Run a real first date: a test you can use this week on one task you already own, the green flags worth chasing, and the red flag most people ignore, which is when checking the work takes longer than doing it yourself.
- Leave with permission to stop looking for the one: a rule for when to cancel, and a short list of what your team should never hand off.