Private AI for the turnaround coordinator.

Movement data, delay codes, and station remarks do not belong in a public model. Little AI Pilot sits on the tools TOC already runs — live tracking, delay prediction, remarks from timestamps. Ground operations is the same product from the station side.

The ops desk that already owns the clock

Who lands

Turnaround coordinator, TOC lead, OCC / network ops supervisor, airline IT asked to “do AI” without sending ops data to a public model.

Who buys

Airline ops leadership + IT/infrastructure. Compliance is in the room because movement and delay data is sensitive even when it is not passenger PII.

The same three services, on the airline’s wall

Not a public chatbot. Not a new ops system of record.

Custom models

Adapt the base model to IATA delay codes, fleet types, station abbreviations, and the house remarks style.

  • Fine-tuning (LoRA / QLoRA) on your corpus
  • RAG with evaluation on real coordinator prompts
  • Domain language and Bahasa Malaysia where the desk uses it
  • Quantisation on the hardware you have

LLM automation workflows

Classify, draft, route, write back.

  • Timestamp-to-remarks (Little AI Pilot)
  • Delay flags with a reason, not a sidebar chat
  • Write-back to Workvivo, WhatsApp, or the sheet — where you approve it
  • Guardrails: what the model may do, and what stays human

One named product. One next desk.

Named work

Little AI Pilot

Live tracking, delay prediction, and remarks from timestamps into Workvivo, WhatsApp, or the sheet. Read the panel below.

Example scope

OCC disruption copilot

Fleet remarks grounded in the airline’s delay codes and manuals, write-back to the existing ops sheet.

The OCC card is a first workflow we would scope. It is not a case study.

Why on-prem on this desk

Restatement of the homepage security promises for airline ops data. Not a certification list.

Where it runs

On-prem, private cloud, or air-gapped. We do not require a public model API. Hybrid only when the constraint is real but not absolute.

How we handle data

Encrypted in transit and at rest. Access scoped by role. We do not train a third-party model on your corpus, and we do not pool client data. Movement and remarks stay on infrastructure you control.

How we integrate

Read the ops tracking tool, sheet, and Workvivo first. Write-back only where you approve it. We do not replace TOC or OCC.

Who it belongs to

Weights, prompts, evaluations, and logs from your deployment stay yours. A mutual NDA is ready before any deeper scoping call.

Little AI Pilot, for the turnaround coordinator

Turnaround Operations Control

The clock that desk still does not have

Some airline groups stood up Turnaround Operations Control so one room can own the 30–35 minute ground clock for the whole fleet. The desk still stitches an ops tracking tool, a Sheet, and Workvivo. Little AI Pilot sits on top of those tools: live tracking, delay prediction, and operational remarks written from timestamps — not from memory.

What it watches

On-chocks through boarding: bags, fuel, IFC, cleaning, lav/water, engineering. Ranked by risk. The reason, not just the flag.

Where it lands

Workvivo, WhatsApp, and the sheet the shift already uses. We do not ask the desk to adopt a new chat app.

Who it is for

The turnaround coordinator first (TOC). Then group engineering / MRO. Ground operations is the station door — see Ground operations. Adjacent to OCC; not a replacement for them.

TOC conversations continue. If you run that desk, write to us and say so. It is not the public headline of the company site.

Built in Malaysia · data residency as a design constraint · English and Bahasa. Why Malaysia

If you run that desk, write to us

Turnaround coordinator, TOC, OCC, or airline IT — if the clock cannot leave the building, say so.

[email protected]

Public contact for projects, partnerships, research, and investor conversations.