Chatbots, AI agents, and RAG assistants that ship to production, not demos. Designed and shipped for dental practices, not generic templates with dental practices swapped in.
Most dental practices are operating on sites or software stacks built three to five years ago for a different version of the buyer. Insurance verification and benefit checks are done by phone, so booking stalls and front-desk staff burn hours per day on hold. The infrastructure decisions that compound are the ones made with the operator in the room, not the ones made in a vacuum.
Inparlor's AI Chatbots & AI Agents engagement for dental practices reflects that. We build AI chatbots, in-product assistants, RAG systems over your own data, and autonomous agents that take real actions inside your workflows. The deliverables below are scoped against the unit economics, new patient value (12 mo) of $1,500-$3,800.
Where most agencies treat dental practices as another vertical to learn on, we treat the vertical as the starting point. Routine patient questions about appointments, forms, and insurance flood the front desk during peak chair-time. We will tell you on the first call which of those constraints is binding and which is solvable inside the engagement.
10-18 hrs
Front-desk hours on insurance/week
20-35%
Overdue recall patients
$1,500-$3,800
New patient value (12 mo)
8-18%
No-show rate
48 hours
AI Chatbots & Agents proposal turnaround
The assistant answers from your docs, policies, and product data, not the open internet. We build the retrieval layer so responses are tied to sources you control, and made-up answers have nowhere to come from.
We build a test set of real questions and grade the assistant against it before launch. It ships when it passes the bar on accuracy and tone, not when the demo happens to look good.
When the assistant is unsure or the user asks for a human, it hands off cleanly with the conversation context attached. Customers never get trapped in a loop, and the team picks up exactly where the bot left off.
We instrument how many questions the assistant actually resolves versus how many escalate, and watch it over time. Deflection is the number that justifies the build, so we report it rather than guess at it.
AI Chatbots & Agents for B2B SaaS
Engineering backlog age: 1-3 quarters
AI Chatbots & Agents for B2C SaaS
Trial-to-paid conversion: 30-60%
AI Chatbots & Agents for Law Firms
Intake response time: <1 hr vs. hours
AI Chatbots & Agents for Accounting Firms
Document collection cycle: 1-3 weeks
AI Chatbots & Agents for Financial Advisors
New-account onboarding time: 3-10 days
AI Chatbots & Agents for Insurance Brokers
Time to quote a risk: 20-60 min
We respond within 48 hours with scope, pricing, and the team that would actually run the engagement.
Get a proposalOr explore the full AI Chatbots & AI Agents page · Dental Practices hub