What the first 30 days with a dental AI assistant actually looks like

Riverside Dental is a two-dentist practice with four front-desk staff. They signed up for Bizuki on a Tuesday afternoon. Their office manager, Rachel, spent about 20 minutes answering the setup questions — practice name, hours, services offered, insurance plans accepted, and the tone she wanted the bot to use ("friendly, like our front desk, but maybe a bit faster").

By Thursday, the chatbot was live on their website. Here's what happened over the next 30 days.

Week 1: First conversations

The bot fielded 43 conversations in its first week. Most were short — hours, location, parking, whether they were taking new patients. The kind of questions that previously required a phone call or a wait for someone to reply to a web form.

Three conversations turned into new patient bookings. Rachel says they would have lost at least two of those — both happened after 7pm on weekday evenings.

The bot also surfaced something they hadn't expected: six separate questions about whether they offered clear aligners. They hadn't listed it prominently on their website. Rachel added it to the homepage that week.

Week 2–3: The questions that surprised them

By week two, the conversations grew more complex. Insurance questions dominated. "Do you take United Healthcare?" "Is my Cigna plan in-network?" "Will my insurance cover a crown?"

The bot handled the in-network confirmations correctly. For "will my insurance cover X" questions, it explained that coverage depends on the individual plan and offered to take the patient's details for a complimentary benefits check — which the front desk then followed up on. This turned what had been a conversion dead-end into a warm handoff.

There were also several emergency inquiries: toothaches, cracked teeth, patients asking whether they needed to come in right away. The bot followed its emergency triage instructions — acknowledging the pain, providing the after-hours line, and capturing their name and number for a same-morning callback.

Week 4: The numbers

At the end of 30 days:

• 187 conversations handled by the bot
• 26 leads captured with name, phone, and service interest
• 17 converted to booked appointments (confirmed by Rachel)
• Estimated first-visit revenue from new patients: ~$4,200
• Cost for the month: $99

Rachel's conclusion: "It's like having a part-time front desk that works all night and never takes a lunch break. The thing that surprised me most was how many conversations happen after 5pm. We were just not there for those patients before."

What they changed after month one

After reviewing the conversation log, Rachel made two adjustments. She updated the bot's Invisalign response to include the free consultation offer more prominently — she noticed a few conversations stalled when patients assumed it would be expensive to even inquire. She also asked the bot to mention their Saturday hours earlier in the booking flow, after seeing several patients drop off when they assumed the practice wasn't open on weekends.

These are the kinds of optimizations that would never have surfaced without the conversation data. The bot doesn't just capture leads — it shows you what your patients are actually asking, and where your current messaging is falling short.