The right system depends on where review breaks down—intake, applicant preparation, jurisdiction-specific compliance, pre-submission QA/QC, or project context that must continue beyond permitting.
Direct answer
AI plan review software reads plans and supporting documents, checks them against defined requirements, and organizes findings for human review. It is not one uniform category: electronic workflow, code research, applicant guidance, compliance checking, and connected project intelligence solve different problems.
Decision guide
| Criterion | Evidence of fit | Red flag | Bottom line |
|---|---|---|---|
| Primary job | The workflow matches the actual bottleneck: intake, markup, applicant guidance, compliance review, pre-submission QA/QC, or connected project intelligence. | One product is described as solving every part of permitting and design review equally well. | Name the job before comparing features. |
| Jurisdiction basis | The system identifies adopted codes, local amendments, zoning ordinances, overlays, and project-specific requirements before checking the set. | A national code library is presented as sufficient for every jurisdiction. | Local applicability matters as much as code access. |
| Review coverage | Supported departments, permit types, project types, and technical checks are explicit and testable. | Broad claims such as “full code compliance” appear without a coverage map. | Ask what is checked, where, and for which project types. |
| Evidence | Every material finding includes the requirement, reasoning, and location in the plans or supporting documents. | The output is a black-box score or violation list without traceable support. | A reviewer must be able to verify the finding. |
| Human authority | Missing evidence and judgment calls are surfaced for review; licensed professionals and authorities retain final decisions. | The vendor implies AI can guarantee approval or replace professional judgment. | Automation should support accountable review, not hide it. |
| Project files | The system handles the drawings, schedules, notes, reports, and models that the team actually uses. | The test uses a clean sample that avoids real document complexity. | Use a representative project, not a showcase file. |
| Workflow handoff | Findings move into correction, QA/QC, resubmission, issue closure, and downstream project work. | The output ends as a disconnected PDF or dashboard. | The useful unit is a closed finding, not a generated report. |
| Implementation | Security, data boundaries, integration points, support, and the people responsible for verification are defined. | A pilot begins without success criteria or an operating owner. | Software fit includes governance and adoption. |
Use one representative project, the current jurisdiction requirements, and the people who will prepare, verify, and close findings.
What changes by workflow
Separate electronic routing and markup from code research, applicant preparation, compliance checking, and project-wide QA/QC. Buyers often compare these as one category even though they solve different operating problems.
Use a representative site or building set, the current jurisdiction requirements, and the actual people who prepare, review, and close findings. Avoid a clean demo package that removes the ambiguity the system needs to handle.
Check whether the platform assembles the adopted code editions, local amendments, zoning ordinance, overlays, department standards, and project-specific requirements before it evaluates the drawings.
Sample the output. A reviewer should be able to move from each finding to the requirement, the drawing evidence, and the reasoning—then verify, discuss, or overrule it.
Test how an issue becomes a correction, assigned decision, revised drawing, resubmission item, or accepted exception. The strongest workflow preserves context after the first review.
The broader system
AutoSitu is strongest when requirements and findings must stay connected across public and private teams—and continue into the work that follows review.
Planning and zoning, engineering and public works, fire, building, environmental, and specialized requirements can be applied to the same project set.
Requirements, reasoning, and plan locations stay connected so project teams and reviewers can verify the work instead of accepting a black-box verdict.
Missing evidence and judgment calls remain visible. The reviewer, engineer of record, or authority having jurisdiction retains the determination.
Feasibility, completeness, compliance, enterprise QA/QC, quantities, revision deltas, and scope can remain attached to one evolving project.
Plan review software FAQ
Direct answers for teams comparing electronic workflow, AI compliance review, and connected project intelligence.
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Evidence
Workflow definitions and AutoSitu capabilities were checked against these references in September 2026.
Bring the plans, jurisdiction, and current workflow. Test how requirements, evidence, and human decisions stay connected from first check through issue closure.
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