# Chart AI

> Chart AI turns a plain-language question into a decision-ready chart and tells you what it shows. It runs inside your network, on your model, against your data.

**Status:** Chart AI is coming soon. It is in private development and not yet publicly available.

Chart AI turns a plain-language question into a decision-ready chart and tells you what it shows. Each follow-up edits the chart on screen.

Source page: https://chartai.yazilim.vip/

## Showcase

Pick a domain below and replay a conversation. Illustrative conversations. The figures are sample data.

### Aviation (Marisol Air · airline)

#### 1. Revenue by sales channel

- **Question:** Show total revenue by month from February to September 2026, flight and ancillary stacked
- **Chart AI:** From the sales system: **€274.2M** from February to September, **€243.7M** from flights and **€30.5M** from ancillaries. **August** is the peak month at **€60.2M**.
- **Chart:** bar chart titled "Revenue by month" (series: Flight, Ancillary)

- **Question:** Compare flight revenue by sales channel: B2B, B2C and OTA
- **Chart AI:** **B2C** (web, app and call center) brings **€137.1M**, **56%** of flight revenue. **B2B** tour operators bring **€62.4M** (**26%**) and **OTAs** **€44.2M** (**18%**).
- **Chart:** bar chart titled "Flight revenue by sales channel" (series: Flight revenue)

- **Question:** Now show each channel's share by month
- **Chart AI:** The mix moves towards **OTAs**: their share of flight revenue grows every month, from **12.0%** in February to **21.4%** in September. **B2C** falls from **71.3%** to **52.4%**. **B2B** rises to **26%** with the summer schedule in April and stays there.
- **Chart:** bar chart titled "Share of flight revenue by channel" (series: B2C, B2B, OTA)

- **Question:** Show flight against ancillary revenue for each channel
- **Chart AI:** **B2C** passengers buy the most extras: **€24.9M**, **15.4%** of the channel's revenue, or **€30.28** per passenger. **OTA** passengers spend **€12.43** each. **B2B** tour-operator passengers spend only **€4.13**, because their package already includes a bag.
- **Chart:** bar chart titled "Flight and ancillary revenue by channel" (series: Flight, Ancillary)

- **Question:** Show ancillary revenue per passenger by month against 2025, and mark the highest growth
- **Chart AI:** Extras per passenger grow about **4%** on 2025 from February to June. From **July** the gap opens: **+15.1%** in July, **+18.0%** in August and **+19.4%** in **September**, the highest month, at **€20.24** per passenger against **€16.95**.
- **Chart:** line chart titled "Ancillary revenue per passenger" (series: 2025, 2026)

#### 2. Revenue and margin

- **Question:** Show revenue and EBIT by month for 2025
- **Chart AI:** From the finance system: 2025 closes at **€296.2M** revenue and **€16.7M** EBIT, a **5.6%** margin. Summer carries the year. **July** and **August** earn **€34.2M** EBIT together, while the winter months lose money, down to **−€7.1M** in **November**.
- **Chart:** bar chart titled "Revenue and EBIT" (series: Revenue, EBIT)

- **Question:** Compare summer 2025 with summer 2024
- **Chart AI:** June to August, revenue grows **25%**, from **€110.1M** to **€137.9M**. EBIT grows only from **€34.1M** to **€38.2M**, so the margin falls from **31.0%** to **27.7%**. Fuel explains most of it: fuel cost rises from **€23.5M** to **€35.0M**, as jet fuel peaks at **€1,040** per tonne in July.
- **Chart:** bar chart titled "Summer 2025 against summer 2024" (series: Summer 2024, Summer 2025)

#### 3. Punctuality and delays

- **Question:** Show monthly on-time performance against ticket revenue for 2025
- **Chart AI:** Punctuality falls exactly when revenue peaks. On-time performance drops to **72.8%** in **July**, while ticket revenue climbs to **€44.1M**, and to **€49.3M** in August.
- **Chart:** bar and line chart titled "Punctuality against revenue" (series: Ticket revenue, On-time performance)

- **Question:** What caused the summer delays?
- **Chart AI:** Delay minutes by cause, from the flight operations system. **ATC** delays jump from **2,212** minutes in May to **10,247** in June. **Reactionary** delays, carried over from an earlier late flight, peak at **9,890** minutes in **July**.
- **Chart:** bar chart titled "Delay minutes by cause" (series: ATC, Reactionary, Technical, Ground handling, Other)

- **Question:** Which airports had the most delay this summer?
- **Chart AI:** From June to August, the worst departures were at the German and Swiss hubs: **Berlin** (**21.4** min), **Zurich** (**21.1**), **Munich** (**20.9**) and **Frankfurt** (**20.8**), against a network average of **15.1**. Frankfurt also had the highest share of late departures, **37.7%**. **Antalya** had the most delay minutes in total, **22,268**, only because it handled **37%** of departures. Per flight it stayed below average, at **13.8** min.
- **Chart:** bar chart titled "Average departure delay by airport" (series: Average delay)

#### 4. Passenger compensation

- **Question:** What did delays cost us in EU261 compensation?
- **Chart AI:** From the customer care system: **€818,800** paid in 2025. **MUC–AYT** cost the most at **€156,400**. Because the airline is Turkish, only flights from Germany, Austria and Switzerland are covered.
- **Chart:** bar chart titled "EU261 compensation paid" (series: Paid)

- **Question:** Which delay reasons drove that cost?
- **Chart AI:** Of **1,399** claims filed in 2025, **971** were paid. **Reactionary** delays cost **€522,800**, **64%** of the total, and **technical** delays **€287,200**. Air traffic control claims are mostly rejected: only **11** of **219** were paid, because ATC counts as an extraordinary circumstance.
- **Chart:** bar chart titled "EU261 compensation by delay reason" (series: Paid)

- **Question:** What specific incidents were behind the delays?
- **Chart AI:** Leaving out air traffic control and routine handling: **bleed air faults** cost the most time, **2,060** minutes, **1,256** of them on one aircraft, **TC-MSC**. **Hydraulic faults** were the most frequent technical incident, **43** times. **Pilot sickness** delayed **31** flights. A sick pilot is not an extraordinary circumstance, so compensation is owed when the delay passes three hours. **58** passenger medical emergencies, **17** bird strikes and **3** bomb threats are extraordinary circumstances: no compensation.
- **Chart:** bar chart titled "Delay incidents by cause" (series: Airline responsible, Extraordinary, no compensation)

### Personal finance (Personal and family budgets)

#### 1. Where the money went

- **Question:** Show my spending by month for the last 12 months
- **Chart AI:** From your card statements and cash notes: you spent **€27,327** in the last 12 months, **€2,277** a month on average. **December** jumps to **€2,955**. **December** and **May** are the only months above average.
- **Chart:** bar chart titled "Spending by month" (series: Spending)

- **Question:** Split it by category
- **Chart AI:** **Fixed costs** (rent, loan payments and bills) stay flat, between **€1,505** and **€1,570** a month. **Subscriptions** climb from **€25** to **€59** a month. **Jewellery** spikes in **December** (**€640**) and **May** (**€420**).
- **Chart:** bar chart titled "Spending by category" (series: Fixed costs, Groceries, Transport, Clothing, Subscriptions, Jewellery)

- **Question:** What made December and May above average?
- **Chart AI:** In **December** and **May** you spent **€1,016** more than in average months. **Jewellery** explains **€883**, **Groceries** **€74** and **Clothing** **€43** of it. **Fixed costs** add only **€13**.
- **Chart:** bar chart titled "Above the average, by category" (series: Above the average)

- **Question:** Break subscriptions down by service
- **Chart AI:** **Music platform** and **Video platform** run all year. **Cloud storage** starts in **January**, **AI assistant** starts in **March** and **News** starts in **June**. So subscriptions cost **€25** a month in October and **€59** in September. Your notes say you use the **video platform** and the **news** service least: cancelling them saves **€23** a month.
- **Chart:** bar chart titled "Subscriptions by service" (series: Music platform, Video platform, Cloud storage, AI assistant, News)

#### 2. Plan the next quarter

- **Question:** Plan October to December 2026: my income against my fixed costs and groceries
- **Chart AI:** From your card statements and cash notes, plus your planned items: salary and side income bring **€2,950** in October, **€3,100** in November and **€2,900** in December. Rent, the loan, bills and groceries take **€1,930**, **€1,935** and **€2,035**. Rent and the loan stay at **€1,360** a month, the same as in the last 12 months. Counting only this quarter: last year's surplus is already invested.
- **Chart:** bar chart titled "Income against planned costs" (series: Salary, Side income, Rent, Loan, Bills, Groceries)

- **Question:** Show what is left each month after those costs
- **Chart AI:** **€1,020** is left in October, **€1,165** in November and **€865** in December, **€3,050** over the quarter. **December** is the tightest month: the side income is lowest and bills and groceries are highest.
- **Chart:** bar and line chart titled "Left after planned costs" (series: Left after planned costs, Income, Planned costs)

- **Question:** I want to buy a €1,500 sofa this quarter. When can I afford it?
- **Chart AI:** After everyday spending (transport and clothing at last October to December's level, and **€59** of subscriptions), you keep **€756**, **€911** and **€551**. Your savings pass **€1,500** in **November**, at **€1,667**. Buy the sofa then and **€167** is left. The quarter ends with **€718**.
- **Chart:** bar and line chart titled "Savings against the sofa" (series: Kept after everyday spending, Saved up)

#### 3. Household budget

- **Question:** Show our family's spending by month: household costs and each person's own spending
- **Chart AI:** From the family's card statements and cash notes: **€45,405** in the last 12 months. Household costs (rent, bills and groceries) take **€34,760**, **76.6%** of it. **December** is the most expensive month at **€4,255**.
- **Chart:** bar chart titled "Family spending by month" (series: Household, Parent 1, Parent 2, Teen, Grandparent)

- **Question:** Compare each person's own spending by month
- **Chart AI:** The **Teen**'s spending grows fastest: from **€137** a month on average from October to March to **€181** from April to September. It climbs from **€130** in October to **€180** in July, then spikes to **€245** in September. The adults peak in **December**. The **Grandparent** spends the least, **€149** a month on average.
- **Chart:** line chart titled "Personal spending by member" (series: Parent 1, Parent 2, Teen, Grandparent)

- **Question:** Drill into the teen's spending by category
- **Chart AI:** The teen spent **€1,905** in the 12 months. **Going out** climbs from **€30** in October to **€90** in **July**. Over the year, it is **36.2%** of the teen's spending. In **September**, school and hobbies cost **€75**, up from **€15** in August.
- **Chart:** bar chart titled "Teen's spending by category" (series: Phone, Clothing, Going out, School and hobbies)

### Healthcare (Lindenhall Health · hospitals)

#### 1. Emergency waits

- **Question:** Show the median emergency wait by time of day, last month
- **Chart AI:** Waits peak at **82** minutes in the **18:00** block, three times the **27** minutes at **04:00**. The day averages **52** minutes.
- **Chart:** line chart titled "Median emergency wait" (series: Median wait)

- **Question:** Add arrivals per nurse on shift
- **Chart AI:** The peak lines up with staffing. At **18:00** each nurse has **5.5** arrivals, against **3.0** at **10:00**: the shift change drops nurses from **22** to **13** just as arrivals peak at **71**.
- **Chart:** bar and line chart titled "Wait against arrivals per nurse" (series: Arrivals per nurse, Median wait)

#### 2. Bed occupancy

- **Question:** Show bed occupancy by department this month, against the 85% target
- **Chart AI:** Three departments run above the **85%** target: **Internal medicine** at **97%**, **Cardiology** at **94%** and **Emergency** at **91%**. **Paediatrics** has room at **68%**.
- **Chart:** bar chart titled "Bed occupancy by department" (series: Occupancy)

- **Question:** Show the trend for Internal medicine and Cardiology since April
- **Chart AI:** Both keep climbing. **Internal medicine** rises **11** points, from **86%** to **97%**, and passed **90%** in **June**. **Cardiology** rises **10** points, from **84%** to **94%**, and passed **90%** in **July**.
- **Chart:** line chart titled "Bed occupancy since April" (series: Internal medicine, Cardiology)

### Energy (Brannock Energy · utility)

#### 1. Demand and price

- **Question:** Show yesterday's hourly demand and day-ahead price
- **Chart AI:** Demand peaks at **8.7 GW** at **19:00**, and the price peaks in the same hour at **€161/MWh**. That is three and a half times the **€46** at **14:00**, when solar fills the midday.
- **Chart:** bar and line chart titled "Demand and price" (series: Demand, Price)

- **Question:** Mark the evening peak
- **Chart AI:** From **17:00** to **20:00** the price never drops below **€118** and averages **€140.5/MWh**, against **€79.8** for the whole day.
- **Chart:** bar and line chart titled "Demand and price" (series: Demand, Price)

#### 2. Renewable share

- **Question:** Show 2025 generation from wind, solar and hydro by month
- **Chart AI:** Wind leads in winter, with **1.9 TWh** in **January**. Solar overtakes wind in **May**, **1.2 TWh** against **1.1 TWh**, and peaks at **1.5 TWh** in **July**.
- **Chart:** bar chart titled "Renewable generation by source" (series: Wind, Solar, Hydro)

- **Question:** Show the renewable share of all generation against the 55% target
- **Chart AI:** Year to date the share is **57.6%**, above the **55%** target. **January** (**44.6%**) and **February** (**48.1%**) fell short, and **May** peaked at **68.2%**.
- **Chart:** line chart titled "Renewable share of generation" (series: Renewable share)

## Your data stays where your policies say it must

Chart AI is delivered for your own infrastructure. You choose the model and the data sources. Nothing reaches a service you did not choose.

## Chart AI is on its way

Chart AI is in private development and not yet publicly available. The showcase above shows what it does today.