The Direct Answer
AI booking agent pricing is custom. There is no single flat rate because the cost depends on several factors unique to your business: the channels you need (web chat, WhatsApp, phone), how many calendar and CRM integrations are required, the volume of conversations your agent will handle, and how complex your booking logic is.
Qevora Labs offers a free demo so you can experience the system before any commitment, followed by a custom quote based on your specific requirements. You can reach out at [email protected] or through the website.
Before you scroll: The real question isn't what an AI booking agent costs — it's what NOT having one costs you. If you're missing 5 bookings per week at $150 each, that's $3,900 per month in lost revenue. An AI booking agent running 24/7 pays for itself by capturing exactly those missed opportunities.
What Drives the Price of an AI Booking Agent?
Understanding the pricing factors helps you scope your project accurately. Here are the main variables that affect cost:
1. Number of Communication Channels
A single-channel agent (e.g., website chat only) costs less than a multi-channel agent that handles web chat, WhatsApp, SMS, and phone simultaneously. Each channel requires separate integration, testing, and maintenance.
2. Complexity of Your Booking Logic
A simple "book a 1-hour slot with any available staff member" is straightforward. Complex logic — multiple service types, different staff with different skills, buffer time between appointments, waitlists, and deposit collection — requires more development work and therefore costs more.
3. Calendar and CRM Integrations
Connecting to Google Calendar or Calendly is relatively straightforward. Connecting to proprietary practice management software, niche booking platforms, or enterprise CRMs requires custom API work and raises the development cost accordingly.
4. Custom Training and Knowledge Base
Every AI booking agent is trained on your specific business — your services, pricing, policies, FAQs, and tone of voice. The more complex your business and the more detailed the knowledge base, the more configuration time is required.
5. Volume of Conversations
AI infrastructure costs scale with usage — specifically the number of tokens (words) processed per month. High-volume businesses handling thousands of conversations per month will see this reflected in ongoing costs.
What Is Included in a Qevora Labs Deployment?
Every Qevora Labs AI booking agent project includes:
- Custom system prompt engineering — the AI is trained on your exact business, services, and brand voice
- Calendar integration — Google Calendar, Calendly, or your existing booking system
- Chat widget deployment — embedded on your website and styled to match your brand
- Automated confirmation and reminder flow — bookings trigger immediate confirmation; reminders sent 24 hours before
- Testing and QA — the agent is stress-tested across hundreds of scenarios before going live
- 1–2 week deployment timeline — from kick-off to go-live
- Post-launch optimisation — ongoing refinement based on real conversation data
ROI — What to Expect in the First 90 Days
Return on investment for AI booking agents is typically visible within 30–60 days. Here are the three primary drivers of ROI:
Recovered Lost Bookings
Calls and chats that previously went unanswered outside business hours are now captured 24/7. For most businesses, this alone covers the cost of the system.
Fewer No-Shows
Automated reminders reduce no-show rates by 30–50% on average, recovering significant appointment slot revenue that would otherwise be lost.
Staff Time Saved
When 80% of routine inbound calls are handled by AI, your team reclaims hours each week for higher-value work — a significant labour cost reduction.
Higher Conversion Rate
Website visitors who receive an immediate AI response convert at up to 3× the rate of visitors who have to fill in a contact form and wait for a reply.
AI Booking Agent vs Hiring Staff — The Cost Comparison
| Cost Factor | Additional Human Receptionist | AI Booking Agent |
|---|---|---|
| Base monthly cost | $2,500–$4,000 salary | Custom (contact for quote) Lower |
| Employer taxes | +15–20% of salary | None AI Wins |
| Benefits / insurance | $300–$600/month | None AI Wins |
| Recruitment cost (one-time) | $3,000–$5,000 | None AI Wins |
| Training cost | $500–$1,500 + 2–4 weeks productivity loss | Included in deployment AI Wins |
| Hours of availability | 40 hrs/week (24% of the week) | 168 hrs/week (100%) AI Wins |
How to Get a Quote
Getting a quote from Qevora Labs is a two-step process with no obligation:
- Book a free demo — see the AI booking agent in action and ask any technical questions. This typically takes 20–30 minutes and gives you a clear picture of what is possible.
- Receive a custom proposal — based on your specific requirements (channels, integrations, volume, complexity), Qevora Labs will provide a scoped proposal with clear deliverables and pricing.
Contact: [email protected] or try the live demo directly on the website.
Frequently Asked Questions
How much does an AI booking agent cost per month?
AI booking agent pricing at Qevora Labs is custom, based on the scope of your project, number of channels, and conversation volume. Contact [email protected] for a free quote tailored to your business. A free demo is available before any commitment.
Is there a setup fee for an AI booking agent?
Qevora Labs pricing is scoped per project. The initial build, system prompt engineering, integrations, and testing are all included in the proposal you receive. There are no surprise add-on fees.
How quickly can an AI booking agent pay for itself?
Most Qevora Labs clients report positive ROI within 30–60 days of deployment. The primary drivers are recovered after-hours bookings, reduced no-shows through automated reminders, and staff time saved on routine call-handling.
Is there a free trial available?
Qevora Labs offers a free live demo — you can interact with a real AI booking agent and see it handle your specific business scenario before making any decision. Visit the demo page or email [email protected] to get started.
What happens if the AI can't handle a booking?
The agent is configured with a fallback escalation path — when a situation falls outside its capabilities, it seamlessly hands off to a human or collects the customer's details for a callback. No customer is ever left without a response.
Get Your Custom Quote Today
See the AI in action first — no commitment required. Then receive a clear, scoped proposal built around your specific business needs.