AI Reporting Ask in Natural Language, Answer in Seconds

Familiar Scenarios

Of classic reporting 4 dead ends.

Opening Excel, writing a formula, saying "let me ask the accountant" for every question it's no longer enough in 2026.

📑

6 screens to get an answer

Pick a filter, enter a date range, export, pivot in Excel… The question "How many cancellations this week?" takes up to 8 minutes.

📤

The Excel file is outdated

The report you produce is outdated 10 minutes later. New appointment, new payment the file is again out of date.

🤷

Which report tells you what?

There are 37 ready-made reports and you don't know which to open. The number you need still gets lost among the charts.

⏱️

Field is told to 'ask'

The owner asks the secretary, the secretary checks Excel, and the owner gets the answer 3 hours later. The decision is once again postponed.

AI Reporting

Type your question let the answer land on WhatsApp.

Natural language query, real-time rapor

Type "How many appointments were cancelled last month?" the AI understands your question, scans the database, computes, and writes back in a formatted answer. No SQL knowledge required, no dashboards to dig through.

In conversational Turkish, short or long sentences
Real-time data not an Excel copy
Common questions are templated with a single word

How many appointment cancellations were there last month?09:14

📊 March 2026 Cancellation Summary

Total cancellations: 34 appointments (11%)
Vs last month: ↓ %18
Busiest day: Tuesday (12 cancellations)
Specialist with the most cancellations: Dr. Ayşe (9)

💡 You may want to review Tuesday morning slots.09:14

Summary of this month's revenue?09:15

💰 March 2026 Revenue

Gross: 187.500₺ · Net: 125.200₺
Vs last month: ↑ %12
Top revenue: Botox (68,000₺)09:15

💬

Natural language an everyday sentence is enough

"How many patients today?", "Dr. Elif's performance?", "Which day is busy?" no special command syntax. The bot understands context.

📈

Answers comparison questions

Period comparisons like "compare February to March" or "How is this year vs last?" are one question away.

🎯

Adds actionable comments

It doesn't just give numbers it adds a practical tip like "You may want to review your Tuesday slots."

🔁

Template questions one word, ready-made report

Map your frequent questions to a single word like "weekly summary"; the bot remembers the formula each time.

🔒

Doesn't send data to LLMs

The AI is only used to understand the question and write the answer. Raw data (names, phone numbers, payments) is never sent to the model.

🗂️

Past questions are saved

Everything you ask is also listed in the panel. No need to ask again to find a previous answer.

Sample Questions

Whatever comes to mind everything.

No limits every piece of data can be queried, from operations to finance, from service-based analysis to a single client file.

How many appointments are there today?
What's the revenue change vs last week?
List clients whose packages are about to end
How is Dr. Elif's performance this month?
Which day is the busiest?
Which time slot has the highest no-show rate?
What is the new client count trend?
List the invoices awaiting payment
What's the total receivable, and who's overdue?
Who are the clients who haven't visited in the last 60 days?
Which are the top 5 revenue-generating services?
Which specialists earn commission this month?

I used to call my accountant and ask "how much did we make last month?" and wait 2 days. Now I write to WhatsApp and get an answer in 5 seconds and on top it adds "12% more than last month, Botox leading the way". Decision-making has never been this fast.

EK

Elif K.

Clinic Owner · Beauty & Wellness

Go deeper