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How Christ University streamlined lead qualification, response speed, and counselor efficiency using Mio AI Voice
A case study
Christ University’s degree programmes generate tens of thousands of inbound leads every admission cycle, far more than their counselors could meaningfully engage with. Delayed first responses were letting high-intent students slip to competing institutions, while junk leads consumed bandwidth that should have gone towards nurturing serious applicants. The team needed a way to respond to every lead instantly, filter out the noise automatically, and ensure counselors only spent time on students who were genuinely interested.
That’s when they deployed Mio AI’s Voice Agent.
This case study covers how Christ University went from lead overload to a focused, high-intent pipeline, with 10+ conversions in the first few weeks, 85-100 qualified callbacks routed to counselors, and 100% of counselor time redirected to leads that actually mattered.
Get a closer look at:
- How high lead volumes and delayed responses were costing Christ University real enrolments
- Why an AI voice agent, and not more counselors, was the right answer to the problem
- How Mio AI qualified, filtered, and routed leads without any dependency on the tech team
- The impact on counselor productivity when junk leads are removed from their queue entirely
- What 10+ early conversions and 85-100 high-intent callbacks looked like in practice
- Where Christ University is taking Mio AI next, from selection workflows to lead reactivation
