DentAI
Step-by-step implementation guide — pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.
DentAI — Implementation Playbook (DSO)
DentAI Implementation Playbook
AI Receptionist Deployment Guide for Dental Service Organizations
1. Executive Summary
What DentAI Does
DentAI is an AI-powered virtual receptionist platform that automates inbound and outbound patient communications—including appointment scheduling, confirmations, recalls, insurance verification, and general inquiries—across voice, SMS, and web chat channels. The system integrates with your practice management software to access real-time scheduling availability and patient records, enabling 24/7 patient engagement without additional staffing.
Why DSOs Benefit from AI Receptionists at Scale
| Scale Advantage | Impact |
|---|---|
| Standardization | Consistent patient experience across all locations; every caller receives the same quality interaction regardless of location or time |
| Labor Arbitrage | Reduce front desk staffing ratios while handling higher call volumes; critical given persistent dental staffing shortages |
| Data Aggregation | Centralized analytics reveal system-wide patterns in call volumes, scheduling efficiency, no-show rates, and patient sentiment |
| Capacity Optimization | AI identifies scheduling gaps across locations and can cross-book patients to nearby underutilized practices |
| Cost Structure | Per-location AI licensing typically costs 60-80% less than a full-time receptionist; savings multiply across 15-50 locations |
Expected Timeline: Decision to Full Deployment
| DSO Size | Pilot Phase | Full Rollout | Total Timeline |
|---|---|---|---|
| 15-25 locations | 4-6 weeks | 8-12 weeks | 12-18 weeks |
| 26-50 locations | 6-8 weeks | 12-20 weeks | 18-28 weeks |
Timeline assumes 3-4 location waves with 2-week buffers between waves.
2. Pre-Implementation Checklist (Weeks 1-2)
Technical Requirements
Network & Infrastructure
☐ Minimum 50 Mbps download / 10 Mbps upload per location (verify actual speeds, not advertised) ☐ Dedicated static IP address or VPN tunnel capability for secure API connections ☐ Quality of Service (QoS) configuration for voice traffic prioritization ☐ Backup internet connection or failover protocol documented ☐ Firewall rules to whitelist DentAI IP ranges (obtain from vendor)
Hardware
☐ Server/workstation requirements: Modern browser (Chrome, Edge, Firefox) on any workstation ☐ Optional: Dedicated reception desk monitor for AI dashboard display ☐ VoIP phone system compatibility verification (SIP trunk access required) ☐ USB headsets for staff monitoring/intervention (one per reception desk)
Software & Integrations
☐ Practice Management System version verification:
- Dentrix G7.3+
- Eaglesoft 21.0+
- Open Dental 22.1+ ☐ Active PMS API access or integration module license ☐ Phone system administrator access (RingCentral, 8x8, Vonage, or on-premise PBX) ☐ SMS/text messaging platform credentials (if separate from phone system)
🔵 Vendor Onboarding Steps
| Step | Timeline | DentAI Contact |
|---|---|---|
| Execute Master Service Agreement | Day 1-3 | Account Executive |
| Complete Business Associate Agreement (BAA) | Day 1-3 | Legal/Compliance |
| 🔵 Schedule technical discovery call | Day 3-5 | Implementation Manager |
| 🔵 Receive sandbox environment credentials | Day 5-7 | Technical Account Manager |
| 🔵 Assign dedicated Customer Success Manager | Day 7 | CSM Team Lead |
| 🔵 Establish support escalation contacts | Day 7-10 | Support Operations |
Key Vendor Contacts to Document: ☐ Primary Implementation Manager (name, direct line, email) ☐ Technical Account Manager for integrations ☐ 24/7 Support hotline and escalation path ☐ Executive sponsor at DentAI for strategic issues
Data & Access Prerequisites
☐ PMS administrator credentials for integration setup ☐ API keys or OAuth tokens for PMS (obtain from PMS vendor if needed) ☐ Phone system admin portal access ☐ Historical call volume data export (minimum 90 days) ☐ Current appointment scheduling rules document ☐ Insurance verification credentials (payer portals, clearinghouse logins) ☐ Patient communication templates currently in use ☐ Business hours and holiday schedule for all locations ☐ Provider schedules and booking rules
Internal Stakeholder Alignment
🟣 Decision Makers (Approval Required)
| Stakeholder | Decision Authority | Timeline to Engage |
|---|---|---|
| CEO/President | Budget approval, strategic alignment | Week 1, Day 1 |
| CFO | ROI validation, contract terms | Week 1, Day 1-2 |
| Chief Dental Officer | Clinical workflow impact sign-off | Week 1, Day 2-3 |
| VP of Operations | Implementation ownership, rollout authority | Week 1, Day 1 |
| General Counsel | BAA, data privacy, liability review | Week 1, Day 1-3 |
Informed Stakeholders
| Stakeholder | Communication Need | Timeline |
|---|---|---|
| Board/Investors | Strategic initiative awareness | Before contract execution |
| Regional Managers | Rollout planning participation | Week 1, Day 3-5 |
| IT Director/MSP | Technical requirements, security review | Week 1, Day 1-3 |
| HR Director | Staffing model changes, role evolution | Week 1, Day 3-5 |
| Marketing Director | Patient communication, brand voice | Week 1, Day 5-7 |
Location-Level Notification
☐ Office Managers: Initial awareness communication ☐ Lead Receptionists: Role evolution discussion ☐ Providers: Workflow change preview Detailed communication cascade handled in Change Management section
⚠️ Baseline Metrics to Capture BEFORE Go-Live
Critical: Standardize measurement methodology across all locations before capturing baselines. Inconsistent measurement makes ROI comparison impossible.
Metric Standardization Protocol
| Metric | Definition | Data Source | Capture Method |
|---|---|---|---|
| Call Volume | Total inbound calls to main practice number, excluding internal extensions | Phone system CDR | 90-day daily average |
| Answer Rate | % of inbound calls answered by human within 30 seconds | Phone system CDR | 90-day average |
| Abandonment Rate | % of calls disconnected before answer or after >2 min hold | Phone system CDR | 90-day average |
| Appointment Booking Rate | % of inbound calls that result in scheduled appointment | Manual tracking + PMS | 30-day sample period |
| Cost per Call | Front desk labor cost ÷ total calls handled | Payroll + phone data | Monthly calculation |
| No-Show Rate | % of scheduled appointments with no patient arrival | PMS report | 90-day average |
| Recall Compliance | % of patients scheduling recall within 30 days of due date | PMS report | Rolling 6-month |
| After-Hours Call Volume | Calls received outside business hours | Phone system CDR | 90-day average |
| Average Speed to Schedule | Days between new patient call and first appointment | PMS report | 90-day average |
| Front Desk FTE Ratio | Front desk FTEs ÷ active patient count | HR + PMS data | Current snapshot |
⚠️ Common Baseline Capture Failures
- Using advertised call volumes instead of actual CDR data
- Inconsistent definitions of "answered" across phone systems
- Missing after-hours call data due to voicemail-only setups
- Comparing locations without normalizing for patient volume
DSO-Specific Data Aggregation
☐ Create centralized baseline dashboard with all locations visible ☐ Calculate portfolio-wide averages AND standard deviations ☐ Identify outlier locations (both high and low performers) ☐ Document any locations with incomplete or unreliable baseline data
Enterprise-Level Requirements
Network Standards Across Locations
☐ Confirm all locations meet minimum bandwidth requirements ☐ Document network topology variations (locations with unique ISPs, firewalls, etc.) ☐ 🟣 Decision: Standardize network configuration or accommodate variations? ☐ Create remediation plan for locations below requirements
Hosting Model Decision
| Option | Pros | Cons | Recommended For |
|---|---|---|---|
| Centralized Cloud Hosting | Single management point, easier updates, disaster recovery | Single point of failure, latency for voice | DSOs with reliable connectivity across all locations |
| Distributed with Central Management | Local voice processing reduces latency, resilience | More complex management | DSOs with variable connectivity or high call volumes |
🟣 Executive Decision Required: Hosting architecture selection
Single Sign-On (SSO) Integration
☐ Identify existing identity provider (Okta, Azure AD, Google Workspace) ☐ 🔵 Confirm DentAI SSO compatibility with your IdP ☐ Define role-based access control (RBAC) structure ☐ Map corporate directory groups to DentAI permissions
Centralized Credentialing
☐ Create master admin account for VP Operations/IT Director ☐ Define regional manager permission scope ☐ Define office manager permission scope ☐ Define view-only access for executive reporting ☐ Document credential provisioning workflow for new hires ☐ Document de-provisioning workflow for terminations
3. Location Readiness Assessment
Readiness Scoring Framework
Score each location on the following factors using a 1-5 scale. Multiply each score by the weight, then sum for a composite score (maximum 100 points).
Scoring Rubric
Factor 1: IT Infrastructure Maturity (Weight: 25%)
| Score | Criteria |
|---|---|
| 5 | Fiber internet, modern networking equipment (<3 years old), VoIP phone system, PMS on current version |
| 4 | Cable internet >100 Mbps, networking equipment <5 years old, VoIP or hybrid phone, PMS within 1 version of current |
| 3 | Cable internet 50-100 Mbps, some legacy equipment, VoIP phone, PMS within 2 versions of current |
| 2 | DSL or variable connectivity, aging equipment, legacy phone system requiring upgrade, outdated PMS |
| 1 | Unreliable internet, antiquated equipment, analog phone system, PMS incompatible with integration |
Factor 2: Staff Tenure & Adaptability (Weight: 20%)
| Score | Criteria |
|---|---|
| 5 | Front desk turnover <10%, demonstrated tech adoption history, staff actively requests new tools |
| 4 | Front desk turnover 10-20%, positive response to past tech changes, adequate training participation |
| 3 | Front desk turnover 20-30%, neutral tech adoption history, some resistance but manageable |
| 2 | Front desk turnover 30-50%, past tech rollouts encountered significant resistance |
| 1 | Front desk turnover >50%, active hostility to change, history of failed technology implementations |
Factor 3: Patient Volume (Weight: 20%)
| Score | Criteria |
|---|---|
| 5 | 200+ calls/day, high impact potential, mature processes can absorb change |
| 4 | 100-200 calls/day, significant impact potential |
| 3 | 50-100 calls/day, moderate impact and moderate risk |
| 2 | 25-50 calls/day, lower impact but good for controlled testing |
| 1 | <25 calls/day, minimal impact, not representative of portfolio |
Note: For pilot selection, a score of 3 may actually be optimal—high enough volume to test meaningfully but not so high that failures cause major disruption.
Factor 4: Tech Stack Compatibility (Weight: 20%)
| Score | Criteria |
|---|---|
| 5 | Dentrix/Eaglesoft/Open Dental current version, existing API integrations active, documented workflows |
| 4 | Supported PMS version, some API experience, reasonable documentation |
| 3 | Supported PMS version, no existing API integrations, basic documentation |
| 2 | PMS version requires update before integration, limited documentation |
| 1 | Unsupported PMS, requires migration before AI implementation |
Factor 5: Local Champion Availability (Weight: 15%)
| Score | Criteria |
|---|---|
| 5 | Tech-forward Office Manager + engaged lead provider, both committed to championing |
| 4 | Strong Office Manager OR engaged provider as champion |
| 3 | Willing Office Manager, neutral provider support |
| 2 | Reluctant Office Manager, no provider interest |
| 1 | No viable champion identified, leadership vacuum |
Scoring Worksheet
| Location | IT (×25) | Staff (×20) | Volume (×20) | Tech (×20) | Champion (×15) | Total |
|---|---|---|---|---|---|---|
| Example: Main St | 4 (100) | 3 (60) | 4 (80) | 5 (100) | 4 (60) | 80 |
| Location A | ___ | ___ | ___ | ___ | ___ | ___ |
| Location B | ___ | ___ | ___ | ___ | ___ | ___ |
| Continue for all locations |
Readiness Tiers
| Tier | Score Range | Rollout Recommendation |
|---|---|---|
| Green - Ready | 75-100 | Wave 1 or 2 candidate |
| Yellow - Conditional | 50-74 | Wave 2 or 3 with remediation plan |
| Red - Not Ready | <50 | Defer until remediation complete |
Recommended Rollout Sequence Logic
Wave 1 Selection Criteria (2-3 Locations):
- Score 70+ (avoid picking only your highest scores—you want representative locations)
- Mix of market types if applicable (urban/suburban, different regions)
- At least one location with a strong champion who can provide feedback
- ⚠️ Avoid: Flagship locations where failure visibility is high, newest acquisitions still in integration mode
Wave 2 Selection Criteria (5-8 Locations):
- Score 60+ OR score 50-60 with completed remediation
- Include at least one "stretch" location to test your support model
- Geographic clustering for efficient regional manager support
Wave 3 and Beyond:
- Remaining locations based on descending readiness scores
- Red-tier locations addressed individually with specific remediation plans
4. Rollout Strategy
Wave Structure Recommendation
Standard DSO Wave Model (15-50 Locations)
| Wave | Locations | Duration | Cumulative % |
|---|---|---|---|
| Pilot (Wave 1) | 2-3 | 4 weeks | 5-10% |
| Early Majority (Wave 2) | 5-8 | 3 weeks | 25-35% |
| Majority (Wave 3) | 8-15 | 3 weeks | 55-70% |
| Remainder (Wave 4+) | Balance | 2-3 weeks each | 100% |
Buffer Between Waves: Minimum 2 weeks for learning capture, training refinement, and configuration adjustments.
Wave 1 Pilot Location Selection
Selection Matrix
| Criterion | Why It Matters | Ideal Profile |
|---|---|---|
| Readiness Score | Ensures smooth execution | 70-85 (not necessarily the highest) |
| Representative Portfolio | Learnings transfer to other locations | Mix of patient volumes, specialties |
| Champion Quality | Active feedback, quick issue identification | Engaged OM + supportive provider |
| Risk Tolerance | Failure won't derail entire initiative | Not flagship, not recently acquired |
| Geographic Proximity | Enables on-site support if needed | Within reasonable drive of HQ or RM |
⚠️ Common Wave 1 Selection Mistakes
- Choosing only top performers (doesn't test real-world challenges)
- Picking flagship locations (excessive visibility of any issues)
- Selecting based on executive relationships rather than readiness
- Ignoring geographic factors (makes on-site support difficult)
Timeline Per Wave
Week 1: Preparation
- Days 1-2: Location champion training (train-the-trainer)
- Days 3-4: Staff training delivered by champion
- Day 5: Technical integration verification
- Days 6-7: Parallel testing and soft launch prep
Week 2: Go-Live + Stabilization
- Day 1: Official go-live (see Go-Live Day Runbook)
- Days 2-5: Daily monitoring and rapid response
- Days 6-7: First-week retrospective
Weeks 3-4: Monitoring + Optimization
- Daily check-ins reduce to every-other-day
- Workflow adjustments based on feedback
- Documentation of location-specific learnings
- Preparation of "What we learned" brief for next wave
🟣 Go/No-Go Criteria to Advance Waves
Automatic "Go" (Green Light) — All Must Be True: ☐ AI successfully handling >80% of routine calls without human intervention ☐ No unresolved critical technical issues ☐ Staff satisfaction survey average >3.5/5.0 ☐ No increase in patient complaints related to scheduling ☐ Appointment booking rate equal to or better than baseline ☐ Champion recommends proceeding
Conditional "Go" (Yellow Light) — Evaluate Individually: ☐ AI handling 60-80% of routine calls (acceptable for Wave 2 if improving) ☐ Minor technical issues with documented workarounds ☐ Staff satisfaction 3.0-3.5/5.0 (identify specific concerns) ☐ Slight dip in metrics (within 10% of baseline)
"No-Go" (Red Light) — Any One Triggers Pause: ☐ AI handling <60% of routine calls after optimization ☐ Unresolved critical technical issues affecting operations ☐ Staff satisfaction <3.0/5.0 with specific tool-related complaints ☐ Patient complaints increasing meaningfully ☐ Appointment booking rate down >15% from baseline ☐ Champion raises fundamental concerns
⚠️ Rollback Plan
Pre-Define Rollback Triggers:
- System outage >4 hours during business hours
- Data integrity issue affecting patient records
- Patient safety concern (incorrect appointment type booking for emergency)
- Regulatory compliance concern (HIPAA, state dental board)
Rollback Procedure by Severity:
| Level | Scenario | Action | Recovery Time |
|---|---|---|---|
| 1 - Pause | Significant issues, recoverable | Revert to human-only for affected call types | 2-4 hours |
| 2 - Partial Rollback | Major issues, single location | Fully disable AI at location, maintain elsewhere | 24-48 hours |
| 3 - Full Rollback | System-wide critical issue | Disable AI across all locations, vendor escalation | Immediate |
Rollback Communication Chain:
- Location champion → Regional Manager (immediate)
- Regional Manager → VP Operations + IT Director (within 1 hour)
- VP Operations → DentAI executive contact (within 2 hours for Level 2-3)
- VP Operations → C-suite (within 4 hours for Level 3)
Rollback Checklist: ☐ Document exact issue and trigger ☐ Notify all affected parties per chain above ☐ Revert phone routing to pre-AI configuration ☐ Ensure front desk staff aware and ready to absorb volume ☐ 🔵 Open critical ticket with DentAI support ☐ Schedule root cause analysis within 24 hours ☐ Draft patient communication if any appointments affected ☐ Document lessons learned before re-attempting
5. Configuration & Integration (Weeks 2-3)
Practice Management System Integration
🔵 Dentrix Integration (G7.3+)
Prerequisites: ☐ Dentrix Server administrator credentials ☐ eCentral account with API access enabled ☐ Current Dentrix eCentral subscription ☐ Dentrix developer tools license (if applicable)
Step-by-Step Integration:
| Step | Task | Duration | Owner |
|---|---|---|---|
| 1 | 🔵 Request API credentials from DentAI implementation team | Day 1 | DentAI |
| 2 | Log into eCentral → Settings → Third Party Access | Day 1 | DSO IT |
| 3 | Create new integration partner, input DentAI credentials | Day 1 | DSO IT |
| 4 | Configure data access permissions (schedule read/write, patient demographics read, insurance read) | Day 1 | DSO IT |
| 5 | 🔵 DentAI runs connection test from their environment | Day 1-2 | DentAI |
| 6 | Verify bi-directional sync: pull schedule, push test appointment | Day 2 | DSO IT + DentAI |
| 7 | ⚠️ Test appointment type mapping (ensure AI categories match Dentrix categories) | Day 2-3 | DSO IT + OM |
| 8 | Configure provider availability rules | Day 3 | OM |
| 9 | Set up operatory assignment logic | Day 3 | OM |
| 10 | Full integration validation with 10 test scenarios | Day 3-4 | DSO IT + DentAI |
⚠️ Common Dentrix Integration Failures:
- API timeout due to server performance (ensure Dentrix server meets specs)
- Appointment type mismatch causing incorrect durations
- Provider ID inconsistencies between Dentrix and DentAI
- Operatory blocking logic not properly configured
🔵 Eaglesoft Integration (21.0+)
Prerequisites: ☐ Eaglesoft Server administrator credentials ☐ Patterson eClaims account (for API access pathway) ☐ Current Eaglesoft support subscription ☐ ⚠️ Eaglesoft often requires Patterson involvement—budget 3-5 extra days
Step-by-Step Integration:
| Step | Task | Duration | Owner |
|---|---|---|---|
| 1 | Contact Patterson support to enable third-party API access | Day 1-3 | DSO IT |
| 2 | 🔵 DentAI provides integration specifications to Patterson | Day 1 | DentAI |
| 3 | Patterson provisions API endpoint and credentials | Day 3-5 | Patterson |
| 4 | 🔵 DentAI configures connection using Patterson-provided credentials | Day 5-6 | DentAI |
| 5 | Configure data access: schedule, patient, insurance modules | Day 6 | DSO IT |
| 6 | Map Eaglesoft procedure codes to DentAI appointment types | Day 6-7 | DSO IT + OM |
| 7 | Test appointment creation workflow end-to-end | Day 7-8 | DSO IT + DentAI |
| 8 | Configure provider-specific rules and chair assignments | Day 8 | OM |
| 9 | Full integration validation with 10 test scenarios | Day 8-9 | DSO IT + DentAI |
⚠️ Common Eaglesoft Integration Failures:
- Patterson API provisioning delays (start this early)
- Database timeout for large practices (>5,000 active patients)
- Sync conflicts with Patterson backup schedules
🔵 Open Dental Integration (22.1+)
Prerequisites: ☐ Open Dental administrator credentials ☐ Open Dental API license (additional purchase if not already owned) ☐ MySQL database access credentials (read-only sufficient for most functions) ☐ Open Dental eServices subscription for enhanced features
Step-by-Step Integration:
| Step | Task | Duration | Owner |
|---|---|---|---|
| 1 | Open Dental → Setup → Security → API Access → Enable | Day 1 | DSO IT |
| 2 | Create dedicated API user with appropriate permissions | Day 1 | DSO IT |
| 3 | 🔵 Provide API endpoint URL and credentials to DentAI | Day 1 | DSO IT |
| 4 | 🔵 DentAI configures Open Dental connection | Day 1-2 | DentAI |
| 5 | Verify read access: pull patient list, pull schedule | Day 2 | DSO IT + DentAI |
| 6 | Verify write access: create test appointment, update status | Day 2 | DSO IT + DentAI |
| 7 | Configure appointment type mapping (Open Dental definitions) | Day 2-3 | DSO IT + OM |
| 8 | Set up provider schedule sync and availability rules | Day 3 | OM |
| 9 | Configure recall list access for outbound campaigns | Day 3 | OM |
| 10 | Full integration validation with 10 test scenarios | Day 3-4 | DSO IT + DentAI |
⚠️ Common Open Dental Integration Failures:
- API rate limiting on large queries (implement pagination)
- Time zone mismatches between Open Dental server and DentAI
- Permission scope too narrow (missing schedule write access)
Phone System Integration
SIP Trunk Configuration (RingCentral, 8x8, Vonage, Others)
Prerequisites: ☐ Phone system administrator credentials ☐ Current SIP trunk configuration documentation ☐ DID (Direct Inward Dial) numbers for each location ☐ Understanding of current call routing rules
Step-by-Step Integration:
| Step | Task | Duration | Owner |
|---|---|---|---|
| 1 | Document current call flow for each location | Day 1 | DSO IT + OM |
| 2 | 🔵 DentAI provides SIP endpoint configuration | Day 1 | DentAI |
| 3 | Create call routing rule: inbound → DentAI → office (failover) | Day 2 | DSO IT |
| 4 | Configure DentAI as primary handler for main line | Day 2 | DSO IT |
| 5 | Set up transfer pathways: AI → front desk, AI → provider | Day 2-3 | DSO IT |
| 6 | Configure after-hours handling rules | Day 3 | DSO IT + OM |
| 7 | Test inbound call routing (10 test calls minimum) | Day 3 | DSO IT + DentAI |
| 8 | Test transfer scenarios (emergency, complex request, etc.) | Day 3-4 | DSO IT + OM |
| 9 | Configure outbound caller ID for AI-initiated calls | Day 4 | DSO IT |
| 10 | Test outbound calls (confirmation, recall) | Day 4 | DSO IT + DentAI |
⚠️ Common Phone Integration Failures:
- SIP authentication issues (check firewall settings)
- Audio quality issues (QoS not configured for voice traffic)
- Transfer failures (incorrect extension mapping)
- After-hours routing not matching actual business hours
Test Environment Setup and Validation Checklist
Pre-Production Testing Protocol
☐ Environment Isolation: Confirm test environment is fully isolated from production ☐ Test Data: Load synthetic patient data (no real PHI in test) ☐ Test Phone Number: Provision dedicated test line routing to sandbox ☐ Test Scenarios Document: Create minimum 20 test scenarios covering:
- New patient scheduling (various appointment types)
- Existing patient scheduling
- Schedule changes/cancellations
- Insurance verification questions
- After-hours inquiries
- Transfer to human (emergency, complex request)
- Outbound confirmation calls
- Outbound recall attempts
- Non-English language handling (if applicable)
- Error scenarios (unavailable provider, no openings)
Validation Checklist
| Category | Test | Pass Criteria | Result |
|---|---|---|---|
| Connectivity | API connection to PMS | Response <500ms, no errors | ☐ |
| Connectivity | Phone system integration | Calls route correctly 100% | ☐ |
| Scheduling | New patient booking | Appointment appears in PMS within 30 seconds | ☐ |
| Scheduling | Existing patient booking | Patient matched correctly, appointment created | ☐ |
| Scheduling | Cancellation/reschedule | Changes reflected in PMS, confirmation sent | ☐ |
| Data | Patient lookup | Correct patient identified 95%+ of attempts | ☐ |
| Data | Insurance information | Accurate retrieval and communication | ☐ |
| Voice | Call quality | Clear audio, no latency >150ms | ☐ |
| Voice | Transfer function | Successful transfer in <3 seconds | ☐ |
| Fallback | AI escalation to human | Smooth handoff with context | ☐ |
| Outbound | Confirmation call | Accurate details, proper timing | ☐ |
| Outbound | Recall campaign | Correct patient targeting, scheduling | ☐ |
Data Migration / Historical Data Ingestion
If importing historical data (call logs, patient preferences):
☐ Export historical call logs from previous phone system (CSV format) ☐ Export patient communication preferences from PMS ☐ 🔵 Provide data exports to DentAI for ingestion ☐ 🔵 DentAI maps historical data to new schema ☐ Verify imported data accuracy via spot-check audit (minimum 5%) ☐ ⚠️ Flag any data quality issues before go-live
Security and HIPAA Compliance Verification
Enterprise-Level HIPAA Checklist
| Item | Description | Status |
|---|---|---|
| Business Associate Agreement | 🟣 Executed BAA covering all locations in scope | ☐ |
| Data Encryption - Transit | All API calls use TLS 1.2 or higher | ☐ |
| Data Encryption - Rest | PHI stored with AES-256 encryption | ☐ |
| Access Controls | Role-based access control implemented | ☐ |
| Audit Logging | All PHI access logged with user, timestamp, action | ☐ |
| Minimum Necessary | AI only accesses data required for function | ☐ |
| Data Retention | 🔵 Confirm DentAI retention policy aligns with your requirements | ☐ |
| Breach Notification | Vendor breach notification procedure documented | ☐ |
| Subcontractor Agreements | 🔵 Confirm BAAs with DentAI subcontractors | ☐ |
| Physical Security | 🔵 Confirm data center security certifications (SOC 2 Type II) | ☐ |
Access Control Matrix
| Role | Patient Demographics | Schedule | Insurance | Call Recordings | Analytics |
|---|---|---|---|---|---|
| VP Operations | View | View/Edit | View | View | Full |
| Regional Manager | View | View/Edit | View | View | Regional |
| Office Manager | View | View/Edit | View | Location | Location |
| Front Desk | View | View/Edit | View | None | None |
| Provider | View | View | View | None | Own |
DSO-Specific Configuration
Standardized Configuration Template (Enforce Centrally)
The following settings should be IDENTICAL across all locations:
| Setting Category | Specific Settings | Rationale |
|---|---|---|
| Branding/Voice | AI voice selection, greeting script structure, hold music | Consistent patient experience |
| Compliance | HIPAA-required disclosures, recording consent language | Legal consistency |
| Security | Password requirements, session timeout, MFA requirements | Security baseline |
| Appointment Types |
AI-generated implementation guide based on public vendor information. Verify specifics directly with DentAI.