AXLE — Implementation Playbook (DSO)

AXLE Practice Management Implementation Playbook

For Mid-Market DSOs (15–50 Locations)

Executive Summary

AXLE is a dental workflow automation platform that digitizes front-office operations—specifically scheduling, insurance eligibility verification, and patient communication—to reduce manual friction and administrative overhead. For DSOs, this category of tool delivers outsized value through standardization across locations (eliminating ad-hoc processes), centralized data visibility (enabling portfolio-wide performance tracking), and labor efficiency gains that compound across 15–50 sites. A DSO deploying AXLE can expect to eliminate 8–12 hours of weekly administrative work per location, reduce insurance verification delays from days to minutes, and consolidate patient communication across email, SMS, and phone channels through a single interface. From vendor selection and contracting through full deployment across all locations, plan for a 6–9 month implementation timeline: 2 months pre-implementation and technical setup, 3–4 months for phased rollout (Waves 1–3), and 1–2 months of optimization and staff ramping.

Pre-Implementation Checklist

Complete these items before signing the contract or launching pilot locations:

Enterprise Technical Requirements

• ☐ Confirm AXLE's cloud architecture, uptime SLA (target: 99.5%+), and data center location(s) meet your compliance footprint
• ☐ Validate API compatibility between AXLE and your existing PMS (Dentrix, Eaglesoft, Dolphin, etc.); request sandbox environment for testing
• ☐ Assess network bandwidth and WiFi/LAN capacity at each location to support real-time sync and multi-user workflows
• ☐ Define single sign-on (SSO) requirements; confirm AXLE supports your identity provider (Okta, Azure AD, etc.)
• ☐ Test AXLE's mobile app (iOS/Android) compatibility with your standard device fleet

Data Prerequisites

• ☐ Audit and cleanse existing patient contact data (phone, email) for accuracy and TCPA/GDPR compliance
• ☐ Standardize appointment type nomenclature, provider codes, and fee schedules across all locations
• ☐ Export and validate 12 months of historical scheduling and eligibility data from your current PMS for baseline metrics
• ☐ Confirm insurance carrier API integrations are available (e.g., Altus, eZCom) or plan manual workarounds

Stakeholder Alignment

• ☐ Secure executive sponsorship: CDO/VP Ops, IT Director, and CFO buy-in on budget and timeline
• ☐ Identify a national implementation lead (1 FTE) to coordinate across all locations; consider external consultant support
• ☐ Establish a steering committee (CDO, IT, Finance, 1–2 practice managers) to meet bi-weekly during rollout
• ☐ Conduct all-hands webinar introducing AXLE; clarify pain points it solves and expected workflow changes
• ☐ Recruit and train local champions at each location (front desk lead, office manager) before pilot launch

Baseline Metrics

• ☐ Document current scheduling fill rate, no-show rate, and appointment cycle time (booking to first available)
• ☐ Measure current insurance eligibility verification time and bounce-back rate
• ☐ Track front-office labor hours (FTEs) per location and weekly administrative task breakdown
• ☐ Establish current patient communication response rates and preferred channels (email vs. phone vs. text)
• ☐ Collect NPS or CSAT scores from front-office staff regarding current tools and processes

Compliance & Security

• ☐ Ensure AXLE has signed Business Associate Agreement (BAA) and is HIPAA-compliant; review audit log access
• ☐ Confirm data residency and encryption standards (at-rest and in-transit) meet your legal/compliance team's requirements
• ☐ Define role-based access control (RBAC) matrix: who at each location can view/edit patient data, eligibility, financials
• ☐ Review AXLE's incident response and breach notification procedures; align with your incident response plan
• ☐ Audit insurance and malpractice coverage implications of new vendor relationships

Location Readiness Assessment

Use this 5-point scoring framework to rank all locations and sequence rollout. Score each location on the five dimensions below; a score of 18+ indicates Wave 1 candidacy, 12–17 suggests Wave 2, and <12 warrants additional support or Wave 3.

Scoring Guidance:

• Assign 1–5 for each dimension per location.
• Total score range: 5–25.
• Use scores to create a ranked list and assign locations to waves.
• Identify quick-win locations (scores 22–25) for Wave 1 to build momentum.
• Plan additional support (dedicated trainer, on-site IT) for lower-scoring locations.

Rollout Strategy

Wave Structure

Wave 1: Pilot Phase (Months 1–2 of rollout)

• Locations: 2–3 sites
• Selection Criteria: Highest readiness scores (22+); mix of high-volume and lower-complexity practices; strong local champions; willingness to iterate
• Duration: 6–8 weeks from go-live to stabilization
• Goals: Validate PMS integration, test workflows, identify customizations, build internal expertise
• Go/No-Go Criteria (to advance to Wave 2):
  • Scheduling automation achieving 80%+ accuracy
  • Insurance eligibility verification time reduced by 60%+
  • Staff achieving 90%+ login/task completion rates
  • Zero critical bugs or data integrity issues
  • Local champions confident in peer training

Wave 2: Early Majority (Months 3–4)

• Locations: 5–8 sites (prioritize scores 18–21)
• Duration: 4–6 weeks per cohort; stagger 2–3 locations per week if support capacity allows
• Leverage: Wave 1 champions co-train; AXLE onboarding specialist attends first 2 weeks on-site per location
• Adjustments: Incorporate Wave 1 learnings; customize workflows, reports, or integrations based on pilot feedback

Wave 3: Late Majority + Laggards (Months 5–6)

• Locations: Remaining 4–39 sites (including lower-scoring practices)
• Duration: 3–4 weeks per location; may run 2–3 cohorts in parallel with proper support
• Support Model: Train-the-trainer; Wave 1–2 champions lead; on-site vendor support for complex integrations only
• Expectations: Faster ramp due to standardized playbook; lower-scoring locations receive extended ramp time (4–6 weeks) and closer monitoring

Rollback Plan

• Per-Location Rollback: If critical PMS sync failures occur, revert to parallel-run (AXLE + legacy system) for ≤2 weeks while vendor resolves
• DSO-Wide Rollback: Extremely unlikely given phased approach, but if Wave 2+ uncovers breaking issues, pause new locations and halt Wave 3 until resolution
• Risk Mitigation: Maintain read-only access to legacy PMS for 30 days post-go-live; do not retire old system processes immediately

Key Metrics to Track

Track these metrics per location (reported monthly to practice managers) and in aggregate (reported to executive steering committee bi-weekly).

Per-Location Metrics

1. Scheduling Automation Rate (%)

   • Definition: Percentage of new appointments created via AXLE (vs. manual PMS entry)
   • Target: 75% by month 2, 90% by month 3
   • Why it matters: Measures adoption velocity and front-desk efficiency gains

2. Insurance Eligibility Verification Time (minutes)

   • Definition: Average time from patient call to verified eligibility data
   • Baseline: Typically 15–30 minutes (with manual calls); Target: <2 minutes via AXLE API
   • Why it matters: Reduces patient friction and revenue cycle delays

3. Appointment No-Show Rate (%)

   • Definition: Missed appointments / total scheduled
   • Target: 5–10% reduction year-over-year (driven by automated reminders)
   • Why it matters: Direct revenue impact; benchmarks patient engagement

4. Front-Office Administrative Hours (FTEs)

   • Definition: Weekly hours spent on scheduling, eligibility, patient outreach
   • Baseline: Document by location; Target: 8–12 hour reduction per week per location
   • Why it matters: Quantifies labor savings; informs ROI; may enable redeployment vs. headcount reduction

5. Patient Communication Response Rate (%)

   • Definition: Percentage of automated reminders/messages that result in appointment confirmation or reschedule
   • Target: 35–50% response rate (higher than email alone; drives fill rate)
   • Why it matters: Indirect metric for patient satisfaction and scheduling reliability

DSO-Wide / Portfolio Metrics

6. PMS Integration Uptime (%)

   • Definition: Percentage of scheduled sync windows where AXLE ↔ PMS integration executed without error
   • Target: 99.5%+ uptime
   • Why it matters: Detects systemic issues before they cascade; informs IT roadmap

7. Staff Utilization of Advanced Features (%)

   • Definition: Percentage of locations using AXLE's advanced workflows (e.g., intelligent routing, multi-channel outreach, analytics)
   • Target: 60%+ by month 4 (beyond basic scheduling)
   • Why it matters: Indicates training effectiveness and organizational adoption maturity

8. Aggregate Monthly ROI ($ and %)

   • Definition: (Labor savings + Revenue recovery from reduced no-shows) / (AXLE + Implementation costs)
   • Target: Positive ROI by month 4–5; 18–24 month payback period
   • Why it matters: Justifies investment; informs expansion budgets

Reporting Cadence: Monthly per-location scorecard; bi-weekly DSO-wide dashboard to steering committee; quarterly board-level executive summary.

Common Pitfalls

1. **Underestimating Data Quality Requirements**

The Mistake: Deploying AXLE on top of "dirty" patient contact data, incomplete insurance information, or inconsistent appointment taxonomies. Results: eligibility verification failures, failed automated messages, inaccurate reporting.

How to Avoid:

• Allocate 4–6 weeks pre-implementation to audit and cleanse all patient data across the DSO
• Run a "data quality sprint": identify and standardize appointment type codes, provider IDs, and insurance carrier mappings
• Use AXLE's data import validation tools; do not bypass data validation checks for speed

2. **Insufficient Change Management & Staff Training**

The Mistake: Launching AXLE with a 1-hour webinar and hoping front-desk staff self-onboard. Results: low adoption, workarounds, staff frustration, and reversion to old processes.

How to Avoid:

• Invest 40+ hours of per-location training before go-live: 8 hours pre-launch workshops, 8 hours initial week, 4 hours weekly for month 2
• Designate a paid local champion (not a volunteer add-on) to support peers during first 4 weeks
• Create location-specific quick-reference guides and video walkthroughs (5–10 min each)
• Institute bi-weekly 15-minute "office hours" calls for troubleshooting and tips

3. **Weak Pilot Location Selection**

The Mistake: Picking pilot sites based on convenience or politics rather than readiness. Results: extended pilot timelines, suboptimal configurations, delayed insights, and loss of momentum.

How to Avoid:

• Use the Readiness Assessment framework rigorously; pick the highest-scoring locations
• Intentionally select one high-complexity location (high volume, intricate insurance) and one lower-complexity site to test breadth of use cases
• Ensure pilot locations have strong leadership and willing staff; resist pressure to include struggling or resistant practices

4. **Poor PMS Integration Planning**

The Mistake: Assuming AXLE's PMS connector "just works" without understanding your specific PMS version, customizations, or API limitations. Results: sync delays, data mismatches, IT firefighting.

How to Avoid:

• Conduct a PMS audit pre-implementation: confirm versions, custom fields, integrations, and API keys across all locations
• Work with AXLE and your PMS vendor to test integration in a sandbox environment for ≥2 weeks before pilot launch
• Establish clear SLAs for sync frequency and error handling; define escalation paths for integration failures
• Assign an IT owner (not just the practice manager) to oversee integration health and troubleshooting

5. **Failing to Adapt Workflows to Local Context**

The Mistake: Rolling out AXLE with one-size-fits-all configurations across all locations, ignoring differences in patient demographics, insurance mixes, staffing, or provider preferences. Results: staff workarounds, low adoption, and missed customization value.

How to Avoid:

• During Wave 1, dedicate time to workflow customization: interview staff and clinicians about scheduling rules, patient communication preferences, and eligibility verification triggers
• Allow 2–3 weeks of post-launch optimization to refine automations based on actual data and staff feedback
• Create a "configuration library" of best practices from Wave 1–2 locations to accelerate Wave 3 deployments without sacrificing local flexibility
• Empower practice managers to make low-risk customizations; establish a change control process for high-risk configurations

6. **Unrealistic ROI Expectations or Delayed ROI Recognition**

The Mistake: Promising C-suite 50%+ front-office labor savings in month 1, then missing targets and losing executive support. Or failing to track granular metrics, so ROI remains invisible.

How to Avoid:

• Set conservative, phased ROI targets: 15–25% labor efficiency gain by month 3, 35–50% by month 6
• Track per-location and aggregate metrics from day 1; use data to course-correct and celebrate wins
• Segment ROI drivers: labor savings (40%), revenue recovery from reduced no-shows (40%), improved patient experience (20%)
• Communicate monthly ROI wins to leadership; use early wins (e.g., Wave 1 practice 10% efficiency gain) to build momentum and secure commitment for Waves 2–3
• Account for ramp time: expect a 4-week "J-curve" where efficiency dips post-go-live before rebounding

Cost/ROI Framework

Enterprise Cost Model

AXLE Licensing:

• Typical pricing: $300–$600 per location per month (or per provider, depending on AXLE's model)
• Assume mid-range: $450/location/month × 40 locations = $216,000/year