How Voice AI Helped Join Films Academy Scale Admissions & Engagement

Inbound calls primarily come from students and aspiring actors exploring workshop and training program enrollment. Rootle.ai’s voice AI was configured to handle these calls with the same warmth and thoroughness a senior counsellor would bring.

• The AI conducts a structured eligibility and intent verification process before any human involvement:

• Verifying parental or guardian approval for candidates pursuing a career in acting or entertainment

• Dynamically adapting qualification questions based on the candidate’s age, educational background, employment status, and career aspirations

• Gauging seriousness of intent and readiness to enrol

Rather than applying a rigid script, the conversation flow adapts in real time based on each candidate’s responses — creating a natural, engaging interaction that mirrors a genuine counselling conversation.

When a candidate is identified as qualified and genuinely interested, Rootle.ai facilitates a warm, context-rich transfer to a human counsellor during business hours.

• Complete call context and lead profile are automatically shared with the counsellor over WhatsApp before the transfer

• Counsellors enter the conversation fully briefed, enabling a seamless continuation without repetitive questions

• This eliminates friction for the candidate and significantly improves the quality of the counsellor’s first impression

Rootle.ai runs targeted outbound voice campaigns to re-engage previously generated leads and identify the highest-intent participants ahead of live workshops and seminars.

• Personalised AI-led calls to dormant or cold leads in the database

• Interest-level capture and intent classification during the call

• High-intent prospects are flagged and forwarded to human counsellors for conversion and closure

After each workshop or training session, Rootle.ai conducts automated feedback calls to participants at scale — ensuring consistent data collection without relying on manual follow-up.

• Structured feedback conversations capturing participant satisfaction and experience

• Identification of improvement areas and highlights for future program design

• High response rates due to the conversational, non-intrusive nature of the AI interaction