Aug 18, 2025

DeepQuery: Redefining AI Agents
for Intelligent Business Automation

DeepQuery: Redefining AI Agents
for Intelligent Business Automation

DeepQuery: Redefining AI Agents
for Intelligent Business Automation

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.


Get your AI Clone now!