A 45-minute interview usually leaves 30 more minutes of admin behind it.
Interviewers scramble to write scorecards from memory. ATS notes get filled in days later. Hiring decisions come down to whoever argues loudest in the debrief. The cost is slow hires, inconsistent judgement, and strong candidates who accept another offer while you’re still writing up notes.
So I designed Panelo, an AI copilot for hiring interviews:
· Recordings split into chapters, so you jump straight to what matters
· A live checklist of what still needs covering during the call
· Suggested follow-up questions when a skill hasn’t been tested yet
· Scorecards drafted 1 minute after the call, every rating backed by a quote
· A funnel that shows exactly where candidates get stuck
Better hiring decisions start with better evidence.
How long does your team take to submit feedback after an interview?
How do you handle a component that needs an intentional exception? I'd want that exception scoped to the component, so the agent doesn't start using it across the app.
Same team, same month, same $87. Two ways to price an AI support inbox.
Left charges per agent, right only charges when the AI fully closes a ticket.
If you ran support, which one would you sign up for?