← Safari AI
Safari AI role-play cheat sheet
For the mock cold call at the end of most SDR interviews.
What they sell, in one line
Computer vision AI that watches existing camera feeds to measure and automate real-world activity in operations.
Who you'd be calling
Operations, innovation, and customer experience leaders at venues, retailers, and restaurant chains with many locations.
Your opener
“Hi [Name], it's [You] from Safari AI. We turn the security cameras you already have into real-time operations data. Do you have a moment for me to explain why I'm calling?”
Problems you solve for them
- Managers can't see what's happening across many locations in real time
- Manual counts and spot checks are slow and inaccurate
- Cameras exist but the video isn't turned into useful data
Discovery questions to ask
- How do you track things like foot traffic, wait times, or queues today?
- How many locations do you manage, and how do you compare them?
- Have you tried using your camera footage for anything beyond security?
Objections they'll throw at you
“I'm busy.”
→ Understood, I'll keep it short. Is operational visibility across locations something you own, or should I talk to someone else?
“Not interested.”
→ No worries. Are you getting all the operational data you want today, or are there blind spots?
“We already use cameras and analytics.”
→ Good, you've got a base. What decisions are you able to make from it today, and what's missing?
“Send me an email.”
→ Sure. What would be most useful to see, like examples for venues, retail, or restaurants?
Interview tips for this company
- Expect questions on privacy: be ready to say simply that you're measuring activity, and that you'd check details with the team rather than guess.
- This is a small team with a founder-led culture, so show you're a self-starter who is comfortable with scrappy outbound.
Written from public information about Safari AI to help you practice. Ask an insider what their role play looked like; it's the best prep there is.