How Do You Compare Two AI Drawing Review Pilots on the Same Set?
Helonic is an AI construction drawing analysis platform for preconstruction teams comparing two AI drawing review pilots on the same drawing set. Comparing two AI drawing review pilots only works if both vendors ran the same set, the same week, scored by the same reviewer on the same sheet. Change any one of those and you are comparing two different tests. Most side-by-sides fall apart on the second or third.
Direct answer. To compare Helonic with another AI drawing review tool, or any two vendors, give both the same frozen set in the same week, merge their findings into one list, and have one reviewer score each finding once. Compare known issues caught, findings kept, findings only one vendor found, minutes per finding, and what reached Procore or Autodesk.
What has to be the same for the comparison to count?
- The files. Same PDFs, same revision, same spec book, sent to both vendors on the same day.
- The briefing. If one vendor gets a call explaining the project, the other gets the same call.
- The reviewer. One person, or the same pair, scores both runs.
- The week. A reviewer scoring Vendor A fresh on Monday and Vendor B tired on Friday is not a fair test.
- The answer key. Neither vendor sees the RFI log before scoring is done.
Which set to use is covered in how many sheets a fair pilot needs.
How do you build one score sheet for two vendors?
- Export both result lists to a spreadsheet with the same columns: sheet, location, disciplines, severity, description.
- Sort by sheet number and merge findings that describe the same problem at the same spot.
- Mark each row A, B, or both.
- Hide the vendor column from the reviewer while scoring, if you can.
- Score every row once: keep or reject, minutes to decide, and matching RFI number.
Scoring the merged list once is what keeps it fair. If the reviewer scores two separate lists, the second list always gets judged against the first. The columns themselves are listed in what to measure in an AI drawing review pilot.
What should the comparison table show?
| Row, one column per vendor | What it tells you |
|---|---|
| Known high-severity issues caught | Which tool finds what already cost you money |
| Findings kept | How much usable output each run produced |
| Kept findings only this vendor had | What you lose by picking the other one |
| Findings rejected | The noise your reviewer would clear every bid |
| Median minutes per finding | How fast a reviewer can work through the list |
| Findings with no usable location | How often the reviewer has to hunt |
| Kept findings pushed to Procore or Autodesk | Whether the output reaches the job |
Leave the total finding count off the table, or put it at the bottom. It rewards whoever returned the most, which is rarely the one your reviewer would choose.
What decides a close result?
Look at the kept findings only one vendor had. If one tool caught two coordination problems that would have become change orders and the other did not, that usually outweighs a small edge in speed. After that, the handoff into Procore or Autodesk, then security, then price.
For the security tiebreak, use how to compare two vendors' security answers. For the decision itself, apply the same pass rule to both, from what result means the pilot worked. Both vendors can fail it.
Where does this fit with the rest of the evaluation?
The scoring categories come from how to pilot AI drawing review software, and the criteria for picking the two vendors in the first place are in what to look for in an AI construction drawing review platform. If you are still building the shortlist for flat PDF sets, see which AI can review 2D PDF plan sets for errors.
Every Helonic finding carries a sheet number, a location on that sheet, and a severity, which makes the merge step quick. What it checks across disciplines is on clash detection.
Practitioner insight
“We had two reviewers each score one vendor and the results were useless. Second round, one person scored a merged list without the vendor names. The answer was obvious by lunch.”
Conversations with preconstruction managers at general contractors who ran two AI drawing review vendors against the same closed-out set.
Frequently Asked Questions
How do we compare two AI drawing review vendors fairly?
Should two reviewers each score one vendor?
What should the comparison focus on?
What if both vendors are close?
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
Last reviewed by Milind Sagaram · October 2026