Belonging doesn’t just happen, it’s designed through the routines that shape how teams work together.

One of our simplest, most consistent rituals is that we start every team meeting with a short “About Me” from a rotating member. It’s two minutes, one slide, sometimes a photo. Over time, it’s transformed us from a collection of experts into a community of known people.

We know whose kid just started a new school, who’s training for a triathlon, whose garden is exploding with chile peppers. We even discovered an improbable number of birders on our team this way. These details accumulate into trust.

Another anchor is our annual culture and operating-rhythm review. Once a year we pause to ask:

  • Are our meetings effective?
  • Are we working on the right things?
  • Do our shared values still guide us?

Then we commit to concrete changes based on what we discuss. Sometimes that means reworking meeting cadence, clarifying decision roles, or adding new rituals.

Building shared practices

Here’s what’s important: these practices weren’t decreed from the top. The idea for “About Me” came from the team itself. And while I create the space for our annual review, I haven’t led the session for the past two years, team members have. Culture in our team is not a leadership initiative, it’s a shared ethos that everyone owns and shapes.

AI could quietly strengthen practices like these by:

  • Sense-making: surfacing themes across culture check-ins and feedback.
  • Memory: tracking commitments and reminding teams months later what’s evolved.
  • Support: suggesting new “About Me” prompts or reflections to keep stories fresh and inclusive.

Connection scales when it’s built into the way we work, not as something extra, and not as something handed down, but as the operating system we all help maintain.

Question for you: What’s one small practice your team repeats that quietly turns strangers into collaborators?