Executive Summary

Every coaching call at RRI is a one-time interaction. The client has a session, maybe takes notes, and the insights fade within days. The coach moves to the next client. No institutional memory. No branded follow-up. No data accumulation.

Post-Coaching Call AI changes this. It records every coaching Zoom call, transcribes it through Tony’s coaching standards, and emails a branded recap to the client — written as if from Tony. Action items are extracted automatically. The next session prep is generated before the client even logs in.

This saves $364K/year compared to the Salesforce Einstein approach that was previously evaluated. But the cost savings are secondary. The real value is that every coaching session becomes a branded touchpoint, and Tony AI accumulates real coaching data from actual sessions — making Tony AI smarter with every call.

Jay Lane’s team has already proven the concept with Phase 1 coaching AI tools. Phase 2 extends this to full call recording, transcription, and branded delivery across Chris Schenke’s entire coaching fleet.

What Needs to Happen

1. Build Zoom recording integration (webhook on call end) — Register a Zoom webhook that triggers when a coaching call ends. Automatically download the recording and queue it for processing. Handle consent and recording disclosure requirements per state/country.
2. Transcription pipeline (Whisper or similar) — Process call recordings through a transcription model (Whisper, Deepgram, or AssemblyAI). Speaker diarization to separate coach and client voices. Output: timestamped, speaker-labeled transcript.
3. Apply Tony’s coaching framework templates for analysis — Map transcript segments to Tony’s coaching frameworks: Six Human Needs, Triad (Focus/Language/Physiology), Pattern Recognition → Utilization → Creation. Identify breakthroughs, commitments, and areas of resistance.
4. Generate branded email recap using Claude/GPT — Transform the analyzed transcript into a polished email recap in Tony’s voice. Include: session summary, key insights, action items with deadlines, and a motivational close. Brand it as a Tony Robbins coaching communication.
5. Client follow-up automation (action items, next session prep) — Extract action items and create automated follow-up reminders. Generate next-session prep document for both coach and client. Track completion of commitments between sessions.
6. Coach dashboard with session analytics — Build a dashboard for coaches showing: sessions conducted, client progress over time, framework utilization patterns, and outcome tracking. Help coaches identify which approaches work best for which client types.
7. Tony AI accumulates real coaching data from sessions — Feed anonymized coaching patterns, successful interventions, and framework applications into Tony AI’s training data. Tony AI becomes a better coach because it learns from real sessions, not just Tony’s books.
8. Roll out across coaching fleet (Chris Schenke’s team) — Deploy to all active coaches. Training session on how to use the dashboard and review AI-generated recaps before they send. Feedback loop for quality improvement.

Completion Criteria

• Coaching calls automatically recorded and transcribed with speaker diarization
• Branded email recaps generated and sent within 1 hour of call end
• Action items extracted with automated follow-up reminders
• Coach dashboard live with session analytics and client progress tracking
• Tony AI receiving anonymized coaching data to improve recommendations
• Deployed across Chris Schenke’s full coaching fleet
• $364K/year cost savings validated vs. Salesforce Einstein alternative

Initiative Attributes

Tools Required

Related Risks