Start with comparable records
Choose a period and check which flights have both planned and actual values. A change in coverage can change the apparent result.
Follow flight records and documents in FLIGHT Ai. Give the operation a shared daily view with PINAX Ai, and build dashboards around your assigned data with VISION Ai.
Airline operations software gives the operations control centre and flight operations teams a shared view of the flight programme and the records behind it: schedules, movement times, fuel, documents, delays, and punctuality. FlightAtom covers this work with independent products: FLIGHT Ai for flight records and fuel analytics, PINAX Ai for the operating day and on-time performance, and VISION Ai for dashboards built on your own data.
FLIGHT Ai, PINAX Ai, and VISION Ai are independent products. Choose the source record and decision you need to support.
| Job | Product | Output to review |
|---|---|---|
| Review a return document or fuel variance | FLIGHT Ai | Extracted fields alongside source documents, flight records, and planned-versus-actual fuel measures. |
| Follow the operating day and explain punctuality | PINAX Ai | A shared wallboard, flight-level detail, historical comparisons, and management briefs. |
| Build a dashboard around an assigned dataset | VISION Ai | A reviewed dashboard version and PDF reports built from datasets or published widgets. |
In FLIGHT Ai, compare the same set of flights, inspect fuel variance, and read trends over the selected period. The current interface below uses demonstration data.
Choose a period and check which flights have both planned and actual values. A change in coverage can change the apparent result.
Use the Compare data view to line up each figure the document AI read with its source document and the recorded flight, and tag any document it could not classify in the review queue.
Bring the flight, source values, and variance into the review, rather than treating an aggregate trend as an operational instruction.

PINAX Ai puts daily flight progress and performance in one view. Use historical analysis to examine punctuality, delays, and the denominator behind a management question. Actual interface; demonstration data.
Begin with the shared wallboard and the relevant flight or period.
Review flights and delay evidence before drawing a conclusion from a headline measure.
Keep the selected period, measure definition, source coverage, and management finding together.

VISION Ai lets an authorized user create and refine a dashboard from assigned data, then publish a reviewed version and prepare PDF reports.
Describe a chart, refine it with visible controls, and check the figures before publication.
Explore VISION Ai ↗Use the same questions for every product you compare, and ask to see each answer in the product.
| What to check | Why it matters | How FlightAtom approaches it |
|---|---|---|
| Source of the record | A measure is only as reliable as the feed behind it. | FLIGHT Ai and PINAX Ai name their operational source and label estimates, stale inputs, and missing data. |
| Metric definitions | Different tools can report different punctuality for the same day when their denominators differ. | PINAX Ai reports departure and arrival punctuality with the eligible-flight count behind each percentage. |
| Drill-down | A headline number needs the flights behind it before anyone acts on it. | FLIGHT Ai and PINAX Ai move from the summary to flight-level schedule, aircraft, and OUT, OFF, ON, IN timing evidence. |
| Fuel comparison | Planned-versus-actual fuel is misleading when the flights compared are not the same set. | FLIGHT Ai compares planned and measured burn on matching eligible flights and shows explicit data gaps. |
| Document review | Return documents hold values that never reach the flight record. | FLIGHT Ai extracts structured fields from load sheets, fuel slips, and logbooks and shows each value beside its source. |
| Reporting | Management needs the same figures the control centre sees. | PINAX Ai produces daily PDF briefs, and VISION Ai turns assigned data into dashboards and scheduled PDF reports. |

Missing-document checks with crew reminders, AI reading of crew paperwork, weight and fuel cross-checks, per-aircraft fuel bias, low-fuel arrivals and fuel burn prediction.

A live on-time performance wallboard, a year of delay-code and block-time analysis, and a daily brief and weekly delay report built from the same flight records.

Build dashboards from plain language, test-run every AI-written dashboard query, show each reader only their permitted rows, trace each figure, and schedule reports and alerts.
Plain-language guides to the practice behind the software.
An operations control centre uses software to follow the day's flights, movement times, aircraft and crew status, delays, and disruption, and to brief management on performance. PINAX Ai provides the daily wallboard and punctuality analysis, and FLIGHT Ai provides flight records, fuel analytics, and document review.
No. FLIGHT Ai, PINAX Ai, and VISION Ai analyse and present operational records. Flight planning, dispatch release, and performance calculations stay in the operator's approved systems.
Compare the data sources each platform reads, how every measure is defined, whether the underlying flights can be inspected, how missing data is shown, and how results are exported or reported to management.
On-time performance is usually reported as the share of flights departing or arriving within 15 minutes of schedule, known as D15 and A15. PINAX Ai reports both with the number of eligible flights behind each percentage.
A focused walkthrough, with the people and decisions that matter to your team.