Aug 18, 2025
Case Study - Scaling High‑Touch Coaching With a 24/7 AI Clone
Overview
DeepQuery deployed a done‑for‑you AI Clone-an AI Persona trained on each coach’s videos, voice, frameworks, and historic Q&A. The goal: provide on‑brand, instant support 24/7, crush repetitive questions, and create pricing power without adding calls or staff.
Deployment window: 14 days from content handoff
Delivery model: End‑to‑end setup, voice alignment, safe‑answer guardrails, one‑line embed
Platforms: Course and community tools (embed‑ready)
Audience: Coaches, course creators, cohort program owners
Challenges
Repetitive DM/email questions draining 10+ hours weekly
Slow replies stalling student progress and lowering perceived value
Limited ability to raise prices without adding support calls
Knowledge scattered across videos, PDFs, and live sessions
Solution
DeepQuery ingested program assets (videos, transcripts, PDFs, playbooks, past Q&A), mapped top student intents, aligned tone to the coach’s voice, added uncertainty guardrails, and embedded the AI Clone directly inside the course area.
Key elements:
Content ingestion: 20–200+ assets indexed to common student intents
Voice alignment: style, tone, and framework mirroring with review rounds
Guardrails: clarify‑then‑answer defaults and safe fallbacks
Analytics: deflection rate, unresolved topics, CSAT, time‑saved estimates
Deployment: 1‑line embed into major course/community platforms
Results
Time saved: 10–15 hours/week reclaimed from repeat Q&A
Deflection: 60–80% of repeat questions handled instantly by the AI Clone
Pricing power: Tier‑1 subscription increased from $39.99 to $199.99/month (+400%)
Student experience: faster answers, quicker breakthroughs, higher perceived value
Delivery speed: live in 14 days, followed by an optimisation sprint
Note: Results vary by content depth, audience size, and program maturity.
What Changed for the Coach
Support moved from reactive inbox triage to proactive, on‑brand instant answers
Live sessions refocused on coaching, not clarification
Confidence to raise prices without piling on calls or headcount
Clear analytics on what students ask, where they get stuck, and which modules to refine
Implementation Timeline
Days 0–2: Content intake, question mapping, success criteria
Days 3–7: Voice alignment, review rounds, safe‑answer configuration
Days 8–14: Embed + go‑live, analytics wiring, optimisation checklist
Coach Feedback
“It’s like giving students office hours on demand. Repetitive questions disappeared, and I finally had the confidence to raise prices without stressing my calendar.”
Why It Worked
Specificity: the AI Persona mirrored the coach’s frameworks and language, so answers felt trusted
Availability: on‑demand support kept momentum high between calls
Measurability: deflection, CSAT, and response‑time metrics made the value visible
What’s Included
End‑to‑end AI Clone build and deployment
Voice/style alignment and review rounds
Guardrails, uncertainty handling, and safe fallbacks
One‑line embed for popular platforms
Launch analytics and 30‑day optimisation
Takeaway
A well‑trained AI Clone turns existing content into 24/7, on‑brand support that frees 10–15 hours/week, deflects 60–80% of repeat questions, and unlocks pricing power-without adding calls or compromising quality.