AutoSitu builds AI agents that support development review from start to finish. Beyond code checks and correctness, we analyze past project patterns to surface likely issues early—reducing re-submittals and helping public and private sector teams move faster through complex regulatory workflows.
AutoSitu is an AI powered platform built to support modern development review workflows across both the public and private sectors. As zoning codes, building regulations, fire requirements, and public works standards become increasingly layered and interconnected, development review teams face challenges that go far beyond basic code compliance.
In today’s AEC workflows, development review is not only about checking numeric requirements. It involves interpretation, coordination across disciplines, and precedent based judgment. Many projects that technically meet code still experience repeated comments, conflicting interpretations, and costly resubmittals due to the limitations of traditional rule based tools.
Most digital development review tools rely on hard coded rules and deterministic scripts. While these tools can validate simple requirements, they struggle with:
Interpreting discretionary or conditional regulatory language
Understanding interactions across zoning, fire, public works, and building codes
Accounting for edge cases and real world precedent
Reflecting how similar projects were reviewed and approved in practice
As a result, teams spend significant time navigating interpretation conflicts rather than improving project quality or speed to approval.
AutoSitu takes a fundamentally different approach by using coordinated AI agents to support the entire development review lifecycle.
AutoSitu analyzes plan sets and extracts key project data, evaluating it against applicable zoning, building, fire, and public works regulations. Unlike static rule engines, AutoSitu interprets regulatory intent, conditions, and dependencies, enabling more accurate and consistent technical reviews.
Development review does not stop at correctness. AutoSitu analyzes historical approvals, reviewer comments, and recurring issues from past projects to surface likely points of friction before submission. This helps teams anticipate concerns, align documentation, and reduce avoidable redesigns.
Findings are organized by discipline and clearly distinguish between:
Compliance issues
Interpretive or discretionary concerns
Coordination and judgment dependent items
This allows architects, engineers, planners, and reviewers to focus their expertise where it matters most.
AutoSitu is used across the AEC development ecosystem, including:
Architecture and engineering firms
Developers and owner representatives
Planning and code consultants
Public agencies and review departments
For private sector teams, AutoSitu helps de risk projects, reduce redesign cycles, and shorten approval timelines. For public sector teams, it supports consistency, efficiency, and cross departmental coordination while preserving professional oversight.
Regulations evolve. Interpretations vary. Precedent matters. AutoSitu is designed to adapt alongside real world development review practices by combining code based analysis with pattern recognition across past projects.
AutoSitu’s mission is to make development review clearer, faster, and more predictable, without oversimplifying the professional judgment that defines high quality AEC work.
AutoSitu is an AI powered platform built to support modern development review workflows across both the public and private sectors. As zoning codes, building regulations, fire requirements, and public works standards become increasingly layered and interconnected, development review teams face challenges that go far beyond basic code compliance.
In today’s AEC workflows, development review is not only about checking numeric requirements. It involves interpretation, coordination across disciplines, and precedent based judgment. Many projects that technically meet code still experience repeated comments, conflicting interpretations, and costly resubmittals due to the limitations of traditional rule based tools.
Most digital development review tools rely on hard coded rules and deterministic scripts. While these tools can validate simple requirements, they struggle with:
Interpreting discretionary or conditional regulatory language
Understanding interactions across zoning, fire, public works, and building codes
Accounting for edge cases and real world precedent
Reflecting how similar projects were reviewed and approved in practice
As a result, teams spend significant time navigating interpretation conflicts rather than improving project quality or speed to approval.
AutoSitu takes a fundamentally different approach by using coordinated AI agents to support the entire development review lifecycle.
AutoSitu analyzes plan sets and extracts key project data, evaluating it against applicable zoning, building, fire, and public works regulations. Unlike static rule engines, AutoSitu interprets regulatory intent, conditions, and dependencies, enabling more accurate and consistent technical reviews.
Development review does not stop at correctness. AutoSitu analyzes historical approvals, reviewer comments, and recurring issues from past projects to surface likely points of friction before submission. This helps teams anticipate concerns, align documentation, and reduce avoidable redesigns.
Findings are organized by discipline and clearly distinguish between:
Compliance issues
Interpretive or discretionary concerns
Coordination and judgment dependent items
This allows architects, engineers, planners, and reviewers to focus their expertise where it matters most.
AutoSitu is used across the AEC development ecosystem, including:
Architecture and engineering firms
Developers and owner representatives
Planning and code consultants
Public agencies and review departments
For private sector teams, AutoSitu helps de risk projects, reduce redesign cycles, and shorten approval timelines. For public sector teams, it supports consistency, efficiency, and cross departmental coordination while preserving professional oversight.
Regulations evolve. Interpretations vary. Precedent matters. AutoSitu is designed to adapt alongside real world development review practices by combining code based analysis with pattern recognition across past projects.
AutoSitu’s mission is to make development review clearer, faster, and more predictable, without oversimplifying the professional judgment that defines high quality AEC work.
See AutoSitu in action through screenshots and short videos.
See how AutoSitu stacks up against similar tools before you decide.
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