Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
A university enrollment division serving 19,000 students and evaluating 50,000 applications annually fields up to 300 high-stakes financial aid calls daily with a team of just ten representatives.
Manual reviews could only cover 5% of conversations and usually occurred days after an escalation, making staff coaching slow and inconsistent....
“Agent Bricks lets us coach proactively and recognize great work, not just react to issues. We now review 100% of calls, something that was never possible before.”
Private Christian research university offering undergraduate and graduate programs.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Baylor University's Call quality assurance is part of this use case:
Related implementations across industries and use cases
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Analysts audited 3% of 70k monthly tickets. AI now evaluates every interaction, reopening predicted negative cases for human agents.
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
A university enrollment division serving 19,000 students and evaluating 50,000 applications annually fields up to 300 high-stakes financial aid calls daily with a team of just ten representatives.
Manual reviews could only cover 5% of conversations and usually occurred days after an escalation, making staff coaching slow and inconsistent....
“Agent Bricks lets us coach proactively and recognize great work, not just react to issues. We now review 100% of calls, something that was never possible before.”
Private Christian research university offering undergraduate and graduate programs.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Baylor University's Call quality assurance is part of this use case:
Related implementations across industries and use cases
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Analysts audited 3% of 70k monthly tickets. AI now evaluates every interaction, reopening predicted negative cases for human agents.
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.