Eva AI Implementation Guide: What to Expect
A complete walkthrough of implementing Eva AI at your medical spa, from kickoff to going live in under a week.
Eva AI Team
January 10, 2026
Implementing new technology can feel daunting. This guide walks you through exactly what to expect when you start with Eva AI, from signup to going live.
Implementation Timeline
Most practices go from signup to live in 5-7 business days:
| Day | Activity | Time Required |
|---|---|---|
| 1 | Kickoff call and configuration | 30-45 minutes |
| 2-3 | Eva AI setup (we do this) | 0 minutes (your time) |
| 4 | Review and testing | 20-30 minutes |
| 5 | Staff training | 15-20 minutes |
| 6-7 | Soft launch (after-hours only) | Monitoring |
| 8+ | Full deployment | Live! |
Total time investment: ~90 minutes of your time over one week
Day 1: Kickoff Call
Your implementation specialist will walk you through:
Information We'll Gather
- Practice basics: Name, location(s), hours, contact info
- Services offered: Menu of treatments, pricing, duration
- Booking rules: Which services can be booked directly vs. require consultation
- Calendar system: Google Calendar, Outlook, or practice management software
- Staff/providers: Who can be booked, their specialties
- Common questions: FAQs patients ask, your standard answers
What to Have Ready
- Service menu with prices
- Business hours (regular and holiday)
- Calendar login credentials
- List of providers/staff who see patients
- Any booking restrictions or rules
Days 2-3: Configuration
Our team configures Eva AI while you focus on your practice:
What We Set Up
- Voice personality: Friendly, professional tone matching your brand
- Knowledge base: Your services, pricing, policies, FAQs
- Calendar integration: Real-time sync with your scheduling system
- Booking logic: Duration per service, buffer times, provider matching
- Confirmation messages: SMS and email templates
- Escalation rules: When to transfer to human staff
Customization Options
- AI voice and speaking style
- Greeting and sign-off scripts
- Hours and availability messaging
- Deposit requirements
- Cancellation policy communication
Day 4: Review and Testing
Before going live, you'll test everything:
Testing Scenarios
- New patient booking: Call and book an appointment from scratch
- Service questions: Ask about pricing, what's included
- Schedule inquiries: "What times do you have available Thursday?"
- Edge cases: Requests outside business hours, fully booked days
- Cancellation/reschedule: Modify an existing appointment
What to Look For
- Does AI sound natural and on-brand?
- Are answers accurate?
- Does booking work correctly?
- Do confirmations send properly?
Refinements
Based on testing, we'll adjust:
- Wording and phrasing
- Knowledge base gaps
- Booking logic tweaks
- Any edge cases discovered
Day 5: Staff Training
Brief training ensures your team knows how to work alongside Eva AI:
Training Covers
- Dashboard overview: Where to see calls, bookings, and analytics
- Handling escalations: When AI transfers to human, what info is provided
- Monitoring: How to spot-check AI performance
- Feedback loop: How to report issues or request changes
Staff Concerns We Address
- "Will AI replace me?" — No, it handles routine calls so you can focus on patients
- "What if it makes mistakes?" — You can review all interactions and we fix issues quickly
- "Can I still take calls?" — Yes, AI handles overflow and after-hours; you take calls when available
Days 6-7: Soft Launch
We recommend starting with after-hours only:
Soft Launch Approach
- Phase 1: Eva AI answers all calls outside business hours
- Phase 2: Add overflow handling during busy periods
- Phase 3: Full deployment for all calls (if desired)
Why Soft Launch Works
- Low risk—your staff handles daytime calls normally
- Immediate value—captures after-hours bookings (previously lost)
- Builds confidence before full rollout
- Identifies any remaining issues in low-stakes environment
Day 8+: Full Deployment
After successful soft launch, expand to full operation:
Deployment Options
- After-hours only: AI handles evenings, weekends, holidays
- Overflow: AI picks up when staff is busy with patients
- Primary: AI handles all calls, staff focuses on in-person care
- Hybrid: Combination based on your preference
Ongoing Optimization
After go-live, we continuously improve:
- Weekly check-ins for the first month
- Performance reviews and adjustments
- New FAQ additions based on real calls
- Seasonal updates (holiday hours, promotions)
Technical Requirements
What you need for Eva AI to work:
- Phone system: Any system that supports call forwarding (most do)
- Calendar: Google Calendar, Microsoft Outlook, or compatible system
- Internet: Stable internet connection for dashboard access
- That's it. No hardware, no software installation, no IT required.
Ongoing Support
After implementation, you're not alone:
- Email support: Response within 24 hours
- Priority support: Same-day response (Professional plan)
- Knowledge base updates: Request changes anytime
- Performance reports: Monthly insights and recommendations
Ready to Get Started?
Implementation is easier than you think. In less than 2 hours of your time spread over a week, you'll have 24/7 AI coverage for your phones.
- Book your demo to see Eva AI in action
- Choose your plan and sign up
- Schedule your kickoff call
- Go live within a week
Most practices wonder why they waited so long to make the switch. Check our pricing breakdown or use our ROI calculator to see what you could gain.
Frequently Asked Questions
Eva AI Team
Medical Spa AI Experts
The Eva AI team combines expertise in healthcare technology, AI, and medical spa operations to help practices thrive with intelligent automation.
Published January 10, 2026
Related Articles
The Complete Guide to AI Receptionists for Medical Spas [2025]
Everything you need to know about AI receptionists: how they work, what they cost, and how to choose the right one for your medical spa.
10 Ways AI Receptionists Save Medical Spas Money in 2025
Discover how AI receptionists can save your medical spa $30k-$40k annually while improving patient satisfaction and booking rates.
AI vs Human Receptionists: What Medical Spas Need to Know
A balanced comparison of AI and human receptionists, including when to use each and how to combine them effectively.