Embedded Files
PORTFOLIO
Inbound AI Voice Agent
Client
DG Training & Development institution
VIEW PROJECT [↗] (confidential)
Challenges
DG Training & Development was receiving inbound calls from prospects asking about courses, schedules, pricing, and certifications. Calls were handled manually, responses were inconsistent, peak hours caused missed leads, and there was no structured capture of caller intent or follow up data.
Why this was the best solutionAn inbound AI voice agent provides 24/7 availability, delivers consistent and accurate information, qualifies callers in real time, and captures structured lead data automatically. It reduces dependency on human agents while improving response speed and conversion quality.
Steps I tookMapped the most frequent inbound call scenarios, designed a voice agent with structured knowledge about programs and policies, integrated call handling with CRM and calendars, added intent classification and lead qualification logic, and implemented logging for continuous improvement.
OutcomeMissed calls were eliminated, response consistency improved, qualified leads were captured automatically, and the training team saved significant time while increasing enrollment conversion rates and caller satisfaction.
Steps I tookMapped the most frequent inbound call scenarios, designed a voice agent with structured knowledge about programs and policies, integrated call handling with CRM and calendars, added intent classification and lead qualification logic, and implemented logging for continuous improvement.
OutcomeMissed calls were eliminated, response consistency improved, qualified leads were captured automatically, and the training team saved significant time while increasing enrollment conversion rates and caller satisfaction.
Tech Stack used: make, VAPI, CRM, google sheets, WPS, LLM Prompting
Google Sites
Report abuse