Opportunity Breakdown by Domain
Click any row to see detailed analysis and implementation plan
| Domain | Current | Elite Target | Gap | Annual Value | |
|---|---|---|---|---|---|
Lead Response IQ 2-4 weeks (Conversational Voice AI, CRM Integration) | 18hours | 4hours | -14 hours | $288K | |
Patient Engagement IQ 3-6 months (engagement workflows, patient portal) | 71% | 90% | +19% | $240K | |
Case Acceptance IQ 2-4 months (Conversion IQ fine-tuning, same-day start protocols) | 69.4% | 80% | +10.6% | $227K | |
Collections IQ 2-4 months (automated payment reminders, AR optimization) | 45days | 25days | -20 days | $216K | |
Patient Retention IQ 4-8 months (dropout prediction model, retention workflows) | 78% | 92% | +14% | $192K | |
Analytics IQ 2-3 months (dashboard deployment, cross-product analytics) | 82% | 95% | +13% | $144K | |
| Total Annual Opportunity: | $1307K | ||||
Total Annual Opportunity:
$1307K
Based on AAO research, Harvard Business Review, and proprietary practice data
NK Orthodontics identified $1.22M in recoverable revenue. What would your practice show?
Get Your Assessment →Phased Deployment Roadmap
12-18 Week Implementation Plan
Phase 1: Foundation
Weeks 1-3Goals
- Establish measurement framework
- Baseline data capture
Deliverables
- Baseline data capture from PMS system
- AI diagnostic engine deployment
- KPI tracking dashboard setup (20+ metrics)
Target Metrics
- Measurement framework operational
Phase 2: Core Products
Weeks 4-6Goals
- Deploy high-impact products
- Generate early ROI
Deliverables
- LeadIQ deployment (lead response automation)
- CloseIQ deployment (TC coaching)
Target Metrics
- $50K-$150K incremental revenue (partial quarter)
Phase 3: Full Suite
Weeks 7-12Goals
- Complete product deployment
- Achieve full ROI potential
Deliverables
- FlowIQ (scheduling optimization)
- CollectionsIQ (AR management)
- RetentionIQ (dropout prevention)
- Practice IQ Live (cross-product analytics)
Target Metrics
- $500K-$600K cumulative incremental revenue (Year 1)
Phase 4: Validation
Weeks 13-18Goals
- Validate model accuracy
- Refine and commercialize
Deliverables
- Analyze actual outcomes vs. model projections
- Refine model based on empirical data
- Commercialization decision (if validated)
Target Metrics
- Model validation complete
- Go/no-go decision
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