What Done Looks Like on the First AI Drawing Review
Helonic is an AI construction drawing analysis platform for preconstruction leaders defining what done looks like on the first AI drawing review.
What done looks like on the first AI drawing review is the packet your team holds before anyone talks about a contract. Helonic returns findings on the issued PDF. Done is what a person on your side did with a sample of those findings. The scoring marks live on how to pilot AI construction drawing review software. This page is the output, not a second score sheet. Buying criteria stay on what to look for in an AI construction drawing review platform.
Direct answer. Done on the first project means a reviewer kept some Helonic comments, rejected others, recorded the hours, and noted what the PDF set was missing. Every kept comment has a sheet and a location. A count of issues found, with no keep-or-reject marks, is not done.
The packet has four parts
- Comments kept, each with a sheet, a location, a trade, and a sentence.
- Comments rejected, with a one-line reason.
- Hours the reviewer spent on that sample.
- What was missing from the PDF set, if the run was partial.
The preconstruction owner holds the packet. They are the person who can start a contract conversation or end the trial. How that seat is chosen is on who should own AI drawing review on a GC team.
A kept comment has to be openable
If the reviewer cannot land on the same spot on the PDF, the comment is not finished. It may still be a real issue. It is not evidence you can take into a purchase meeting, because the next person will have to hunt for it.
Twenty checked findings are enough for the first project. The whole list can wait. The five days that produce those twenty are on what the first week of a rollout looks like.
| In hand | Not done yet |
|---|---|
| Twenty findings marked keep or reject | An unreviewed export of every flag |
| Sheet and location on each keep | A title with no coordinate |
| Hours spent | "It was fast" |
| A note on missing sheets | A claim that the run covered the whole bid |
| Kept items in the job's comment log | A spreadsheet only the vendor can open |
The contract conversation waits for the packet
A vendor will offer paper as soon as the run looks busy. Wait. The packet is the only fact from your set. Demo screenshots are from someone else's building.
If the packet shows the reviewer spent longer hunting locations than they saved, that is a result. It is a reason to stop, not a reason to negotiate a discount and continue. Write that down before the call, using the go or no-go habit on the pilot method.
Where the kept comments should already sit
By the time you call the project done, kept comments should be in Procore, Autodesk, or the markup log the bid team already opens. Helonic can push a confirmed finding as an RFI. That step is RFI generation. If the comments exist only inside the vendor tool, the first project is not done. Your team cannot use them without another login.
Also record whether the set was complete enough to support the claim you made. A coordination sample on a folder with no structural sheets is a file problem, described on what breaks when the PDF set is incomplete. Do not let that sample become the company standard. The line that prevents it is how to run one bid without a company rollout. Background on the check is AI for construction drawings.
Practitioner insight
“They wanted a signature because the tool found 600 things. I asked which 20 we would actually send. We could defend nine. That was the meeting. The 600 never came up again.”
Conversations with preconstruction directors who refused a contract until a reviewer had marked a sample of AI drawing findings.
Frequently Asked Questions
What does done look like on the first AI drawing review?
Should we talk about a contract before that sample exists?
What has to be on each kept comment?
Does done mean every finding was checked?
Who holds the finished sample?
Milind Sagaram
Co-founder & CEO, HelonicMilind is the co-founder and CEO of Helonic, where he leads product and go-to-market for AI-powered construction drawing analysis. He works closely with general contractors, project managers, estimators, and owners to understand how drawing quality drives project outcomes - and where AI can reduce RFIs, change orders, and rework. Milind has interviewed hundreds of construction professionals across project delivery roles, from preconstruction estimators at ENR top-400 contractors to facilities directors at institutional owners, and uses those conversations to shape both product direction and the way Helonic talks about the work.
- Construction project delivery and preconstruction
- RFI and change order economics
- Owner and GC workflows for drawing QA/QC
- Estimating risk and bid-stage scope assessment
How this page was researched: Done-definition taken from first Helonic projects where a scored sample changed a buy decision, and from projects that jumped to a contract on an unscored issue count.
Last reviewed by Milind Sagaram · September 2026