Mentor Coach AI is an AI co-pilot for ICF coaching professionals: coaches, mentor coaches, and coaching academies.
Coaches working toward ACC, PCC, or MCC upload a session recording and get back a coaching-aware transcript with cues such as silence patterns, ICF competency scores, Minimum Skill Requirements feedback, and an AI chat to ask follow-up questions about specific moments. Every practice session gets feedback, not just the handful a mentor has time to review.
Mentor coaches spend most of their evaluation time on mechanical work: reading transcripts, tagging competencies, filling out rubrics. Mentor Coaching AI does that part. Mentors open a session with the ICF scoring and minimum skill requirements already done, and go straight to interpretation, relationship dynamics, and developmental guidance. Evaluations take 30-60 minutes instead of 2-4 hours.
Coaching academies hit a scaling wall when mentor capacity runs out. With Mentor Coach AI, every student session gets a consistent AI evaluation baseline. Mentors serve more students without rushing. The platform supports multi-tenant data isolation, seat-based pricing, and program-wide progress tracking across all students.
Under the hood: 7-stage transcription pipeline with neural speaker diarization, 3-level coaching silence detection, all 8 ICF core competencies scored with detailed ACC/PCC/MCC Minimum Skill Requirements AI follow-up chat, longitudinal progress tracking, and AES-256 end-to-end encryption (GDPR compliant).
