Case Study: Slush achieves 90% attendee inquiry resolution with boost.ai’s conversational AI (Botzilla)

How Europe’s biggest startup event resolved 90% of attendee inquiries using conversational AI

Slush, the annual Helsinki startup event drawing some 25,000 attendees, needed a way to handle thousands of repetitive attendee queries—from program scheduling and ticketing to on-site sauna and afterparty info—without overworking its volunteer support team. boost.ai stepped in, proposing a conversational AI virtual agent for the event website built with its conversational AI platform and Automatic Semantic Understanding (ASU) to match Slush’s unique, festival-like brand voice.

boost.ai delivered “Botzilla” in six weeks and updated it in real time during the event; the agent handled 3,500+ conversations and 10,000+ messages, resolving 90% of inquiries and transferring fewer than 100 conversations to human staff. Thanks to boost.ai’s ASU and scalable design, Botzilla reduced support load (the planned 12 volunteers proved unnecessary for the volume of routine queries), freeing staff to focus on complex, edge-case questions.

Slush

Santeri Tenhunen

Info Chat Group Lead