Case Study: Mathema auto-resolves 45% of requests with HelpCrunch AI Agents while scaling 5x
Key results
The challenge
Mathema is an online learning platform where more than 12,000 students attend over 55,000 one-on-one lessons a month with 1,000-plus tutors. Monthly support requests grew from around 6,000 in 2022 to roughly 30,000 in 2025, and the team needed to automate to keep pace without expanding headcount.
The solution
Mathema adopted HelpCrunch for multichannel support in a single interface, automated chatbot workflows, trigger-based messages, and a knowledge base with AI-assisted editing. In early 2025 it launched two specialized AI assistants trained on the knowledge base, one for parents and students and one for internal use.
“We're handling 5x more support requests with the same team. That's only possible thanks to deep automation.”
MZMaryna ZaitsevaHead of Support & Operations, Mathema
The results, in context
Mathema reported that 45% of support requests are now automatically resolved by AI Agents, letting the team focus on complex cases. The platform handled 5x more support requests with the same team size, first response time dropped from 12 minutes to 5 minutes, and weekly knowledge base views grew from 150 to 3,500.