AutoSitu

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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.

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Artificial Intelligence (AI)Architectural Design

AutoSitu Overview

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.

The problem with traditional development review 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.

How AutoSitu works

AutoSitu takes a fundamentally different approach by using coordinated AI agents to support the entire development review lifecycle.

1. AI driven plan analysis and code compliance

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.

2. Precedent based insight and risk identification

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.

3. Transparent, review ready outputs

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.

Who AutoSitu is for

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.

Built for real world AEC practice

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.

The problem with traditional development review 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.

How AutoSitu works

AutoSitu takes a fundamentally different approach by using coordinated AI agents to support the entire development review lifecycle.

1. AI driven plan analysis and code compliance

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.

2. Precedent based insight and risk identification

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.

3. Transparent, review ready outputs

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.

Who AutoSitu is for

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.

Built for real world AEC practice

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.

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