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.
Related implementations across industries and use cases
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Sales spent countless hours on manual trial reminders. Now, AI voice agents handle outreach and qualify leads, freeing reps to close.
Scheduling human auditors across five languages delayed onboarding. Now, conversational AI conducts instant placement assessments.
Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
Human reviewers couldn't keep pace with call volume. Now, AI instantly analyzes calls to trigger real-time alerts and train new agents.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
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.
Related implementations across industries and use cases
Working students lacked after-hours support. Now, AI agents resolve routine 24/7 queries, freeing staff to proactively guide enrollments.
Sales spent countless hours on manual trial reminders. Now, AI voice agents handle outreach and qualify leads, freeing reps to close.
Scheduling human auditors across five languages delayed onboarding. Now, conversational AI conducts instant placement assessments.
Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
Human reviewers couldn't keep pace with call volume. Now, AI instantly analyzes calls to trigger real-time alerts and train new agents.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.