Digible Innovation & Technology Culture

How does your team stay ahead of emerging technology trends while scaling fast?

There’s no technology emerging faster right now than AI. We treat AI adoption as a company-wide operating model, not just an engineering initiative. Our cross-functional Digible AI Working Group brings together people from all departments across the company every month to share what’s working, evaluate tools, and solve real business problems together.

We think about new technology adoption in three tiers: a stable baseline of tools everyone has access to, specialized tools for specific roles and a smaller group actively exploring what’s next and paving the road for the rest of the company. That structure gives us both speed and safety. People experiment in their domains while leadership provides the guardrails.

We invest in specialized AI training and hackathons to level up our skills quickly across the team, and we run weekly pulse surveys to understand how AI is actually changing people’s workflows not to measure activity, but to learn where it’s creating real value and where it isn’t.

What recent product or feature are you most proud of — and what impact has it had?

I’m most proud of the work we’re doing on a ground-up reimagining of our flagship Fiona platform as an AI-powered marketing strategist built specifically for the multifamily housing industry.

With our reimagined platform, we’re moving from reactive data reporting and solid budget recommendations to proactive marketing intelligence driving context-aware recommendations and multifamily-specific results storytelling powered by responsible human-assured AI agents. We are making our customers look like geniuses, and that — empowering our customers — is something that gets me really excited.

How do you create a culture where innovation and experimentation are encouraged daily?

It starts with explicit permission. We give people access to tools, training and budget for experimentation, and air cover to try things that might not work. We take a “yes, and” approach as much as possible.

Explicit permission is backed by showing, not telling, whether that’s through formal demos at all-hands meetings, ad-hoc collaborating to explore ideas and share findings with others in spaces like the Digible AI Working Group, or highlighting explorations and findings from anywhere in the team.

A great recent example: A member of our paid media team, not an engineer, independently engaged an AI-powered marketing approach built on Claude and Cursor, and started building it out for her workflow. Leadership’s job in that moment wasn’t to approve a plan; it was to get her set up with accounts, a safe sandbox and the right guardrails so she could keep going. That’s the model we want everywhere.