The 30-Day Parallel Promise™ Explained: Zero-Risk Care Platform Transition
You’ve been burned by software before.
You bought a platform. It promised to solve everything. Your team trained on it. You migrated your data. And three months in, you realized: It’s not what you need. But now you’re locked in. Switching costs would be enormous. So you’re stuck with mediocre software, paying for something you don’t want.
The Parallel Promise™ changes that equation.
Here’s the commitment: Run the new system (Autonomous Care OS™) side-by-side with your current system for 30 days. Not a 14-day trial. Not a limited-feature demo. Full production system with your real data, running in parallel.
At the end of 30 days, if you’re not convinced it’s working, you can walk away. No penalty. No long-term commitment. Just proof.
What is the Parallel Promise™? The Commitment Explained
The Parallel Promise™ is straightforward:
Days 1-30: Run Both Systems Simultaneously
- Your current system(s) keep running exactly as they are
- The new Autonomous Care OS™ runs in parallel
- Your team operates both systems
- Data flows through both
- Metrics are tracked in both
Day 30: Make Your Decision
- You have complete data showing how both systems performed
- You’ve trained your team (they know how to use the new system)
- You’ve seen real results (not promises, not projections, actual data)
- You decide: Switch to the new system, or stay with the old one
- Zero obligation either way
Why This Works:
Most software companies won’t let you do parallel runs. Why? Because they know if you see a better system working, you’ll leave.
CareBravo is confident enough to let you compare directly. Because the data speaks for itself.
Why 30 Days? The Science Behind the Timeline
30 days is long enough to see patterns, but short enough to make the commitment bearable.
Shorter than 30 days:
- Not enough time to identify patterns
- Team hasn’t fully learned the new system
- Limited data for decision-making
- “This is just a test” mentality (not a real evaluation)
Longer than 30 days:
- Administrative burden on the team (doing everything twice)
- Costs accumulate (paying for extra infrastructure)
- Risks increase (more complexity, more chances for error)
- Team gets fatigued
30 days is the sweet spot:
- Enough time to run 2-4 full billing cycles (if monthly billing)
- Enough time for scheduling patterns to stabilize
- Enough time for staff to become reasonably proficient
- Short enough that it’s manageable
- Long enough to make a data-driven decision
Running Parallel Systems: How It Works in Practice
Week 1: Setup & Training
Day 1-3: Infrastructure
- New system is set up in parallel
- Data is migrated from old system to new system
- Both systems are configured for production use
- All staff accounts are created
Day 4-7: Team Training
- 4 hours of training on the new system
- Team starts doing real work in the new system
- Old system is still operational (safety net)
- Everyone goes through the new workflow with real clients/visits
Week 2: Validation Phase Begins
Days 8-14:
- Team is becoming more comfortable with new system
- Both systems are processing real data
- Metrics are being tracked in both systems
- First comparisons are being made:
- “How long did a scheduling conflict take to resolve in old system vs. new?”
- “How many billing errors in old system vs. new?”
- “How much time did staff spend on manual reconciliation in old vs. new?”
Key metrics being tracked:
- Scheduling efficiency (time to fill call-offs)
- Billing accuracy (clean claim rate)
- Documentation completeness
- Staff satisfaction
- System reliability
Week 3: Pattern Recognition
Days 15-21:
- Two weeks of data now exist for comparison
- Patterns are becoming clear
- Staff is becoming proficient on the new system
- Pain points in the old system are becoming more obvious
- Benefits in the new system are becoming undeniable
By day 21, teams usually have one of two experiences:
- “This new system is clearly better. Why are we still using the old one?”
- “The new system is interesting, but our old system handles X better”
Week 4: Final Decision Phase
Days 22-30:
- Team has near-complete data
- One full month of metrics exists for comparison
- Staff has trained for a month (they know how to use the new system)
- Any remaining questions are answered
- Final decision is made based on evidence, not fear
Training & Support During Parallel Period
You’re not running parallel systems alone. CareBravo supports you completely.
Dedicated Onboarding Team
- One implementation specialist assigned to your agency
- Daily check-ins during Week 1-2
- Weekly check-ins during Week 3-4
- 24/7 support for critical issues
Staff Training
- Initial training (4 hours for entire team)
- Workflow-specific training (scheduling team, billing team, etc.)
- Role-based training (what each person needs to do)
- Ongoing Q&A as team learns
Metrics Dashboard
- Daily metrics comparing old system vs. new system
- Real-time visibility into both systems’ performance
- Detailed breakdowns by workflow, by user, by metric
- Clear evidence for decision-making
Data Integrity: Ensuring Consistency Between Systems
When you’re running two systems simultaneously, the biggest risk is data inconsistency.
How we prevent it:
Single Source of Truth
- New system is the “source of truth”
- Old system continues operating independently
- Both systems process new data as it arrives
- No manual syncing required (both capture data independently)
Validation Rules
- New system has built-in validation (prevents bad data from entering)
- Old system continues with whatever validation it has
- You’ll see the difference (old system accepts data that new system flags as errors)
Caregiver Experience
- Caregivers enter data once (in the new system)
- Old system continues receiving data the same way it always did
- No double entry required from caregivers
- New system data is automatically captured; old system gets the same data entry as before
Reconciliation
- At the end of each day, metrics from both systems are compared
- Discrepancies are investigated
- Usually minor (different timing, rounding)
- Clear picture of both systems’ accuracy
The Confidence Moment: When to Commit to the Switch
By day 25, your team will usually know whether they want to switch.
Signs You’re Ready to Switch:
- New system metrics are better across the board
- Team says: “I don’t want to go back to the old system”
- Staff proficiency is good (minimal errors, confident operation)
- You see specific financial benefits (faster collections, fewer denials, etc.)
- Care quality feels improved (better coordination, faster response times)
Signs You’re Not Ready:
- You find specific workflows the new system doesn’t handle well
- Your particular business model isn’t supported
- Technical issues are surfacing
- Team prefers the old system for specific reasons
Either way, you have data to make the decision.
Success Criteria: How You Know You’re Ready to Transition
Before day 30 arrives, define success criteria:
Administrative Efficiency
- Manual reconciliation time should be 50%+ lower in new system
- Call-off resolution time should be <10 minutes (vs. 30+ in old system)
- Staff satisfaction with systems should improve
Billing Performance
- Clean claim rate should be 90%+ (vs. old system rate)
- Days in A/R should be 35-40 days (vs. old system rate)
- Claim denials should be 5%+ lower
Compliance
- Documentation completeness should be 98%+
- Compliance tracking should be accurate and real-time
- Audit readiness should be clear
Caregiver Experience
- Time in system per shift should be lower
- Scheduling accuracy should improve
- Caregiver satisfaction should improve
Financial
- ROI should be clear (how much money is this saving?)
- Cost-benefit analysis should be positive
- Payback period should be <12 months
If these metrics are met on day 30, the decision is easy: Switch.
If they’re not met, you stay with your current system and haven’t lost anything.
