Introducing AI service reports: your end-of-hitch report in minutes

Anyone who's closed out a hitch knows the last-day routine: the work is done, the flight or crew change is booked, and there's still a service report to write. That report usually means opening a folder of daily notes, sometimes across more than one document or notebook, and manually reconstructing a month of work into something a client can read.

What the report actually needs to do

A good end-of-hitch report isn't a diary. It's a summary a client rep can read in a few minutes and trust: what was done, on what, when, and what needs following up. The frustrating part has never been knowing the information — you were there, you did the work — it's the formatting and reconstruction work of turning scattered notes into that summary.

How the AI report works

Handova generates the report directly from the tasks your team already logged during the hitch. Because those tasks are tied to specific assets and dates, there's no reconstruction step: the system already has the structured version of what happened. It groups the work, drafts the summary, and gives you something to review and send, rather than something to build from scratch.

You still read it before it goes out. The point isn't to remove judgement from the report, it's to remove the two hours of formatting and cross-referencing that used to sit between "the work is finished" and "the report is sent."

Why this only works because of the logging behind it

This is also why we built asset-linked task logging first. An AI summary is only as good as the structure underneath it, and a pile of unstructured Word doc notes doesn't summarise well no matter how good the model is. The report is a finishing step. The daily logging is what makes it fast.