Knowledge / Workflows
Project knowledge search
Asking questions across the whole project record, drawings, models, specs, contracts and correspondence, and getting answers that cite their source.
Most questions on a project have an answer somewhere in its documents. The problem is that somewhere is a drawing set, a specification, a contract, a model, hundreds of RFIs and a year of meeting minutes and correspondence, and the person who knows where to look is busy. So the question gets asked in a meeting, answered from memory, and the answer is sometimes wrong. Structured knowledge lets a team ask the project record directly and get an answer that cites its source, so the search is fast and the answer can be checked.
What the workflow involves today
Ask the person who is likely to know, and wait.
Open the common data environment and search by file name, which only works if you already know the file.
Open the likely drawings, specification sections and RFIs one by one and read until the answer turns up.
Check the meeting minutes and correspondence for anything that changed it.
Decide whether the answer is current, and hope.
Answer the question, and lose the trail that produced the answer.
Where generic AI tools fail
General-purpose assistants answer questions well when the answer is in the text they were given, and a project record is too large to give them. So the tool is handed a few files, answers from those, and cannot say what it did not see. Ask about a requirement and it will quote the specification without knowing that an RFI response changed it, because the RFI was not among the files.
The other failure is the missing source. An answer to a project question has to be checkable, because someone will act on it. A fluent paragraph with no reference is a liability: the engineer either trusts it, which is a risk, or goes and finds the source anyway, which is the work the tool was meant to save. A search that cannot show where the answer came from is not a search. It is a guess with good grammar.
What changes with structured knowledge
When the project record is structured knowledge rather than a folder tree, a question is answered from the relationships between documents, not from whichever file happened to be searched. A question about a requirement finds the specification clause, the drawing that locates it, the RFI that clarified it and the instruction that changed it, and reads them together.
What the team receives is an answer with its sources: the documents, pages, drawings and clauses it was drawn from, and a note where the documents disagree or where a later document superseded an earlier one. The answer is as current as the record, and it says which document made it current.
The engineer reads the answer, opens the source if the decision warrants it, and moves on. Time goes on the decision, and the question and its answer stay on the record for the next person who asks.
We onboard a focused slice of your project data, configure the ingestion paths, extract a structured context graph, and build a workflow against the resulting structured knowledge layer.
Related to
This workflow runs across the whole project record: drawings, models, specifications, contracts, RFIs, meeting minutes and correspondence. It is the general form of the specific workflows, and RFI drafting with precedent search and lessons learned capture both build on it.
Which document types can it search?
Does it read from our common data environment?
How do we try it on our project?