AI Adoption GuideGovernmentClose
Asset handover documentation generator
LLM generates structured asset transfer records and condition reports from project data for handover to the operating authority.
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By Don, DoneThat’s AI coach · updated
Cite the asset ID and the condition source
A handover line is complete when it names the asset and names the source that recorded condition. If condition was never recorded, that field stays empty. The operating authority can still accept the pack. Filling every cell is not the quality test.
The reviewer check is local and repeatable. For each asset, you should be able to point to an identifier in the register and, where condition appears, to the inspection, survey, or defect record that stated it. If that source is not in the file, condition is not a fact you can print.
A generated paragraph is not a substitute for that cite. The model can assemble what the loaded files already contain. It cannot inspect a pump, a pavement, or a control cabinet.
Load the register and the inspections first
Start from the asset register the project already uses. Bring in identifiers, location, type, owner at practical completion, and any transfer fields the operating authority requires. Then load the inspection corpus that belongs to those assets: commissioning records, snagging lists, condition surveys, defect logs, and later reinspections.
Join the two sets on asset ID. A register row without an inspection is still a row. An inspection that cannot be matched to an ID is not a condition for that asset. Park unmatched inspections in an exceptions list and resolve the ID before those findings can appear on a transfer line.
Keep source systems in their place. Microsoft, Esri, Tyler, and Accela each appear in government closeout stacks as GIS, permitting, work-order, or document stores. Treat them as a class of record holders, not as a ranked list of products. Export or query what you need, then generate against that extract so the draft cannot invent a field that never left the system of record.
If inspections are still being written, finish or attach those first. An inspection report auto-drafter can help produce the inspection itself. The handover generator should consume the filed inspection, not stand in for it.
Snagging and condition are easy to mix. A snag that was closed should appear as closed, with the closing record cited. An open snag is a defect that still travels with the asset. It is not a condition grade. Do not roll open snags into a single word such as fair or poor.
Draft with citations, then stop where the file stops
Generate one transfer record per asset. Each condition statement should carry the asset ID plus the inspection identifier, date, and authoring body as they appear in the source. Location, quantity, and specification fields should quote the register the same way.
Use one pattern for every row so reviewers can scan: asset ID, what is transferring, condition only if cited, source reference. Empty fields stay empty.
One example is enough. A drainage pump listed as P-14 in the register has a commissioning inspection dated 12 March that records impeller wear as moderate and notes a missing nameplate. The generated line should state that P-14 transfers with impeller wear recorded as moderate in that inspection, and should cite the inspection ID. It should not add a remaining useful life. It should not convert moderate into a numeric score the inspection never used. If the nameplate gap is a defect, it belongs as a cited defect, not as a condition grade.
That is the whole illustration. The point is the cite and the blank, not a before-and-after story.
The first failure mode is a condition with no inspection. If the draft writes good condition because the asset is new, or because nearby assets were scored, reject the line. Delete the condition text. Leave the field empty. A new asset without an inspection is unrecorded, not implicitly good.
Read the draft against the extract, not against memory of the site. If the extract has no condition field and no inspection paragraph, the generator has nothing to cite. Prompting it to be helpful is how empty cells become invented grades.
Remaining useful life stays out unless the file already states it
Remaining useful life is a forecast. Handover documentation is a record of what was observed and what is transferring. Unless the loaded files already contain a remaining-life, life-expiry, or residual-life figure with a named method and source, do not generate one.
Inventing remaining useful life is a second failure mode because it looks like diligence. It is not. An invented life can be read later as a warranty, a budget input, or a negligence marker. If finance or operations need a life estimate, that estimate belongs in a separate, attributed model after handover, not in the transfer line.
Warranty dates are not remaining useful life either. Copy a warranty expiry only when the register or the contract file already states it, and label it as warranty, not as life.
If a defect or risk will survive transfer, name it as a cited residual, not as a life. Pair that work with a residual liability identifier so the liability is explicit. After close, a post-closure obligation monitor can track what the authority still owes or still expects. Those are different documents from the handover record.
Run the four-step loop on every asset
The working sequence is fixed. Load the asset register and the inspections. Draft transfer records that cite asset ID and condition source. Leave condition and remaining life blank where the files are silent. Stop until the receiving authority signs.
On every pass, look for the three errors: a condition sentence with no inspection, a remaining useful life that did not exist in the source, and a status that calls the pack accepted before signature. Fix those by deletion and a fresh cite, not by smoother wording.
The operating authority still accepts a pack with empty condition fields. Quality here is a line that can be traced, not a spreadsheet with no blanks.
Is this worth automating for you?
Whether this pays back depends on how much time it takes your team today. Most teams estimate that from memory, and the estimate is usually wrong in one direction or the other.
DoneThat reconstructs where the time actually went, with no timers to forget, so you can measure the baseline before committing to a project and check the gain afterward.
Measure the baseline first