AutoSitu
AutoSitu is a U.S.-focused AI review platform for real estate development plans that turns drawings and local codes into faster zoning and building-code checks with human review when needed.
AutoSitu markets itself as an AI-native workspace for development-plan review. It targets owners, developers, and public agencies that need quicker turnaround on zoning and code questions without replacing professional judgment. The system ingests AEC drawings, markups, and schedules so reviewers can work from structured insight instead of static PDFs alone.
The product combines plan and document intelligence with a graph of zoning, fire, and engineering rules plus precedent-style context. A multi-agent engine routes checks to specialized agents and escalates edge cases for people when the workflow demands it. The vendor states it has checked more than one thousand five hundred plan and drawing sets with verified-accuracy positioning on its marketing site (AutoSitu, 2026).
City and agency names appear on the public homepage as reference partners, including San Jose, Seattle, Long Beach, Boston, Coral Gables, Los Angeles, Dallas, San Mateo, Clark County, Honolulu, and San Francisco. You should confirm current deployments and jurisdictional coverage directly with AutoSitu for your market.
Reported headline metrics on the site include reviews completing up to about ninety percent faster than traditional cycles and review-cost reductions up to about eighty percent, alongside twenty-four seven agent processing (AutoSitu, 2026). Treat these figures as marketing snapshots and validate them against your pilot results.
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Pros and cons
Pros
- Purpose-built narrative for U.S. development review rather than generic document chat
- Explicit multi-agent architecture with escalation to humans
- Public references to large U.S. cities and counties for social proof
Cons
- Jurisdiction-specific rules vary; coverage must be validated for your city or county
- Pricing is not listed; expect an enterprise sales process
- AI assistance does not replace licensed professionals or official determinations
Key features
Plan intelligence: Converts complex AEC drawings, markups, and schedules into structured knowledge for review tasks.
Code and precedent graph: Maintains a living view of zoning, fire, and engineering expectations with real-world precedent context.
Multi-agent review: Routes work through coordinated AI specialists and keeps people in the loop for judgment-heavy items.
Agency-friendly workflow: Positions human-in-the-loop handoffs for teams that must defend decisions to boards and the public.
Faster review cycles: Public messaging emphasizes large reductions in review time and cost compared with manual-only processes.
Pricing
Enterprise
Contact sales
Public pricing not listed; contact AutoSitu for agency or developer pricing. Verify on vendor site before purchase.
Frequently asked questions
What does AutoSitu actually review?
AutoSitu focuses on AI-assisted review for real estate development plans, including zoning and building-code-oriented checks grounded in local rules and your submittals. It reads AEC drawings and related documents to support faster, more structured reviews rather than replacing official sign-off.
Does AutoSitu replace city planners or building officials?
The vendor describes a human-in-the-loop model where AI triages and checks work but people remain responsible for decisions that carry legal or safety weight. Agencies should treat outputs as decision support unless their own policies say otherwise.
What file formats does AutoSitu accept?
The marketing site points to an FAQ entry about supported formats, but you should confirm the current list with AutoSitu before a pilot. Expect typical plan and drawing packages used in development review, validated during implementation.
How much does AutoSitu cost?
Public pricing is not shown on the homepage. Contact AutoSitu for licensing, agency deployment options, and any pilot structure for your organization.
Is AutoSitu only for public agencies?
Messaging references both peer cities and private-sector developers preparing submissions. Suitability depends on whether you need faster internal QA before filing or an agency-side review workflow.
How should we validate accuracy for our jurisdiction?
Run controlled pilots with known projects, compare AI findings to your manual review record, and document exceptions. Regulatory acceptance often requires traceable checks and staff oversight, not a black-box score alone.