What is AI plan review software?
AI plan review software analyzes drawings and supporting documents for potential compliance issues, coordination conflicts, and missing information. It produces findings for a qualified reviewer to assess, with plan locations and applicable requirements attached. Coverage depends on the product, project type, and review scope.
Start by identifying the work that consumes your team's time.
| Your team needs to… | Evaluate this capability | Ask to see |
|---|---|---|
| Accept complete submissions | Intake and completeness checks | Missing items matched to the actual submission checklist |
| Coordinate departmental reviews | Electronic plan review | Routing, markups, versions, applicant responses, and decision history |
| Research applicable requirements | Code research | Adopted editions, local amendments, and cited provisions |
| Reconcile a drawing set | Design quality assurance and quality control, or QA/QC | Conflicts demonstrated across plans, schedules, details, and disciplines |
| Check the proposed work | Drawing-based compliance review | The applicable requirement, project conditions, calculation, and exceptions |
60 hours saved on one architecture project
See where the time was savedCompare plan review software by the job it does
Comparison basis: AutoSitu publishes this guide. The table summarizes linked vendor descriptions reviewed in September 2026; it is not an independent product benchmark.
| Platform | Published focus | A reason to consider it |
|---|---|---|
| AutoSitu | Drawing-based compliance, design QA/QC, completeness, and project context | Your team needs to investigate regulatory issues and contradictions across the same set |
| Avolve ProjectDox | Agency review management, markups, applicant communication, and AI-assisted intake | Departmental routing and managing correction cycles are major bottlenecks |
| Bluebeam | PDF measurement, markup, and collaborative document review | Reviewers need to annotate drawings and coordinate comments in a shared environment |
| UpCodes Copilot | AI-assisted compliance research | Your team spends substantial time finding and interpreting code provisions |
These capabilities can overlap or work together. In a demo, follow an actual review task from the input documents through the final correction. That reveals more than a feature list.
A finding should show the conflict and the decision
Illustrative QA/QC example — hypothetical drawings, not a customer result.
A roof plan places an equipment opening on Grid C. The structural plan shows a beam crossing its footprint. The section places the beam within the equipment's required clear opening at the same elevation. The installation detail defines that clearance.
| Part of the finding | What it establishes |
|---|---|
| Roof plan and structural plan | The opening and beam overlap in plan |
| Section and installation detail | The beam also occupies the required clearance in height |
| Conclusion | The documented arrangement contains a coordination conflict |
| Decision | Architect, structural engineer, and equipment designer reconcile the opening, framing, or equipment arrangement |
Checking the section matters: overlap on a plan alone may not establish a physical conflict. The finding must reconcile the geometry before sending work back to the team.
This is a QA/QC finding. Calling it a code violation would require an applicable code provision and a separate compliance analysis. For regulatory findings, expect the governing edition and section, project-specific reasoning, and consideration of relevant exceptions.
60 hours saved on one architecture project
Reported result- Project
- Multi-story mixed-use building · construction-document stage · full architectural and MEP drawing set reviewed for QA/QC and code compliance before permit submission
- What AutoSitu surfaced
- The review flagged coordination and compliance issues across the set, including sheet-to-sheet inconsistencies between plans, schedules and details, and code items that would have come back as permit comments. Each finding was tied to the sheet and detail where it appeared.
- What the team did
- The project team corrected the flagged items in the drawing set before submission instead of discovering them through reviewer comments and a resubmission cycle.
- Result
- 60 fewer staff hours spent on internal QA/QC and resubmission handling for this set.
- How it was measured
- The architecture team compared the staff hours it normally spends on an internal QA/QC pass and resubmission handling for a set of this size against the hours spent reviewing and correcting AutoSitu's findings on this project. Reported by the project team; not an independently audited time study.
Single-project result reported by the architecture team. Project details are anonymized at the client's request.
Test whether the software saves reviewer time
Choose one representative project and an agreed list of checks. Include known issues, compliant conditions, and legitimate exceptions. Have your reviewers assess the results and record the work required to turn them into usable corrections.
| Evaluation item | Test | Record |
|---|---|---|
| Review basis | Jurisdiction, editions, amendments, project type, and stage | Correct basis; unresolved applicability |
| Document coverage | Plans, schedules, details, specifications, and scans | Material read; omissions and unreadable areas |
| Valid findings | Reviewer assessment of flagged issues | Actionable findings; incorrect or duplicate findings |
| Known issues | Independently verified reference issues within scope | Found; missed |
| Exceptions | Compliant alternatives, calculated information, and delegated design | Correct resolutions; unnecessary escalations |
| Human effort | Setup, checking, cleanup, and correction preparation | Total reviewer hours alongside processing time |
| Revisions | A revised set containing known changes | Closed, persistent, and new issues |
| Handoff | A finding carried into the team's correction process | Export usability, responsibility, and decision record |
Track the share of reviewed findings that are actionable and the share of known reference issues detected. Keep the measures separate and report the test scope. A large issue count can hide false positives; a clean-looking report can hide missed work.
Bring this checklist to the demo. Ask us to walk through the source drawings, a finding, and how your reviewer would assess it.
Give your senior reviewers a better first pass
AutoSitu reviews the same documents for design QA/QC, code compliance, and submission completeness. Cross-sheet contradictions, missing submission items, and regulatory questions reach the team with the supporting material needed to investigate them.
For architecture and engineering firms, start with a milestone set and your firm standards. For cities, start with a recurring permit type and departmental checklist. For developers and contractors, focus on issues that can change approvals, scope, or the construction sequence.
The practical benefit is giving experienced staff a specific issue to resolve instead of asking them to reconstruct every relationship across the set. Reviewers and the approving authority retain the final determination.
AI plan review software FAQ
Is AI plan review the same as electronic plan review?+
Electronic plan review manages digital files, assignments, markups, and corrections. AI plan review analyzes document content. A product may provide both; ask which analytical checks are included in the proposed deployment.
What is the difference between QA/QC and code compliance?+
QA/QC checks documentation quality, coordination, and project or firm standards. Code compliance checks applicable regulatory requirements. A conflict between two drawings can be a QA/QC issue without establishing a code violation.
Can AI review PDF plans without a BIM model?+
Yes. AutoSitu supports drawing-based review without requiring a building information model. Include your typical PDFs and supporting documents in an evaluation so drawing quality and the requested checks are part of the test.
Can AI guarantee permit approval or replace the plan examiner?+
No. The software supports document analysis and issue identification. Qualified professionals assess the findings, and the reviewing authority determines approval under the applicable requirements.
How much does AI plan review software cost?+
Compare subscription or usage charges, implementation, included disciplines and jurisdictions, and integration costs. Include the staff time needed to check the output. Ask for a quote against the workload your team expects to review.