Architect reviewing plans with AI pre-check system
AI in Construction

From Drawing to Permit: How AI Tools Streamline Design Reviews

The dreaded 'Please address comments 1-47' email. Learn how AI pre-checks designs against code before submission, reducing revision cycles and accelerating permit approvals.

Ichi Team

Construction Tech Insights

October 25, 2025
7 min read

Picture this: You're ready to submit. The drawings are tight, the specs are checked, and you hit send with confidence.

Then the dreaded email arrives: "Please address comments 1–47."

Sound familiar?

The endless back-and-forth between architects and plan reviewers isn't just frustrating—it's expensive. Every revision cycle adds weeks to project schedules and thousands in soft costs.

But what if you could catch those issues before the reviewer ever sees them?

The old workflow: a necessary evil

Manual design review means endless back-and-forth:

  1. Architect submits — 300+ sheets, specifications, calculations
  2. Reviewer examines — Checks code compliance, coordination, completeness
  3. Comments issued — Typically 20-50 items per submission
  4. Architect revises — Addresses each comment, sometimes creating new issues
  5. Resubmission — Start the cycle again

Average time per cycle: 2-4 weeks
Average cycles per project: 2-3 iterations
Total delay: 6-12 weeks from first submission to permit issuance

⚠️

The National Association of Home Builders estimates that permit delays add $30,000-$75,000 in soft costs per residential project. For commercial projects, it's often 5-10x higher.

Why traditional tools don't help

Current software can check calculations (structural loads, energy compliance), but they can't understand context:

  • They can't tell if your exit signs placement makes sense
  • They won't catch that your accessible route has a 1/4" threshold problem
  • They miss that your curtain wall detail conflicts with the fire rating requirement
  • They don't know your local jurisdiction's specific interpretation of the code

These nuanced issues are exactly what cause most review comments.

AI can do better

AI doesn't just calculate—it comprehends. It reads your drawings like a reviewer reads them, understanding relationships between elements, code intent, and jurisdictional requirements.

Pre-submission code checking

Before you submit, AI can:

  1. Review drawings against code — Checks compliance with IBC, IRC, accessibility standards, and local amendments
  2. Find drawing-to-spec conflicts — Identifies where your construction documents don't align internally
  3. Flag coordination issues — Spots where architectural, structural, and MEP designs conflict
  4. Highlight incomplete information — Catches missing details before reviewers do
  5. Suggest specific fixes — Provides guidance on how to address each issue
Architect reviewing AI-generated pre-check report
Catch issues before submission, not after review comments

Real example: commercial office building

Traditional Process:

  • Initial submission: 285 sheets
  • First review comments: 43 items
  • Time to first approval: 11 weeks
  • Revision cycles: 3

With AI Pre-Check:

  • AI review before submission: 38 potential issues identified
  • Architect corrects issues before submitting
  • First review comments: 16 items (63% reduction)
  • Time to first approval: 5 weeks
  • Revision cycles: 1

Result: 6 weeks saved, fewer change orders, happier client

How it actually works

Let's walk through a real scenario:

Scenario: mixed-use building

You're finalizing a 4-story mixed-use project—retail below, residential above. Ready to submit for permit review.

Step 1: Upload Your Documents

  • Architectural drawings (150 sheets)
  • Specifications (280 pages)
  • Fire protection plans
  • Accessibility compliance documentation

Step 2: AI Analysis (20 minutes)

AI scans everything and generates a pre-submission report:

Priority Issues Found:

  1. Egress width conflict — Ground floor exit corridor shown as 42" on A1.01 but calculated for 48" occupant load
  2. Fire rating discrepancy — Spec Section 09 21 16 specifies 1-hour walls, Detail 8/A4.5 shows unrated assembly
  3. Accessibility concern — Restroom door swing reduces clear floor space below 60" minimum
  4. Energy code — Window-to-wall ratio exceeds Title 24 prescriptive limit on south facade
  5. Local amendment — Building height measured to midpoint of roof, but your jurisdiction measures to highest point

Step 3: Prioritize & Fix (2-3 days)

Your team addresses the high-priority items before submission. The AI even suggests solutions:

  • Egress: "Revise corridor width to 48" per IBC 1020.2 or reduce calculated occupant load"
  • Fire rating: "Specify Type X gypsum board per UL U305 assembly or revise specification to match detail"

Step 4: Submit with Confidence

You resubmit—knowing the major issues are already addressed.

The bridge between creativity and compliance

Here's what many people don't understand: AI doesn't constrain creativity. It removes obstacles.

When you know exactly what code requires, you can design more confidently. When you catch conflicts early, you avoid costly redesigns. When you submit clean documents, reviews go faster.

Traditional mindset:
Design → Submit → Wait → Revise → Repeat

AI-enabled mindset:
Design → Pre-check → Fix → Submit → Approve

💡

Think of AI pre-check as having an experienced plan reviewer on your staff—one who works instantly, never gets tired, and catches issues before they become official comments.

Beyond just finding problems

The best AI tools don't just identify issues—they facilitate communication:

Draft response letters

When review comments do come back, AI can help craft responses:

Comment #14: "Provide fire rating for assembly at Grid B between Level 1 and Level 2"

AI-Drafted Response:
"The assembly at Grid B is a 2-hour fire-rated floor/ceiling assembly conforming to UL L501, consisting of 6" concrete slab with 5/8" Type X gypsum board ceiling below. See revised Detail 4/S3.2 and Specification Section 07 84 00."

You review, refine, and submit—turning hours of work into minutes.

Consistency across teams

For firms with multiple offices or project managers, AI ensures everyone interprets codes the same way:

  • New York office asks about egress lighting requirements
  • Seattle office asked the same question 3 months ago
  • AI provides the same accurate answer with jurisdiction-specific amendments
  • No more reinventing the wheel

Real firm results

Midsize architecture firm (25 people)

Before AI Pre-Check:

  • Average 2.8 review cycles per project
  • 9.5 weeks average time to permit
  • 15% of projects requiring third review
  • Stress level: High

After AI Pre-Check:

  • Average 1.4 review cycles per project (50% reduction)
  • 5.2 weeks average time to permit (45% faster)
  • 3% of projects requiring third review
  • Client satisfaction: Up 28%

Soft Cost Savings: Estimated $180,000/year from reduced design time and faster approvals

That's how AI bridges creativity and compliance

Design review doesn't have to be adversarial. When architects and reviewers are working from the same code interpretation, armed with the same AI-powered tools, the process becomes collaborative instead of combative.

Ichi's tools help both sides:

For Architects:

  • Pre-check designs before submission
  • Get instant code clarifications during design
  • Draft response letters for review comments
  • Maintain consistency across projects

For Plan Reviewers:

  • Faster initial review with AI assist
  • Consistent code interpretation
  • Auto-generated comment letters
  • More time for complex judgment calls

Jurisdictions using Ichi report 30-40% faster plan review times, with reviewers spending less time on routine checks and more time on design quality and coordination.

The integration advantage

Modern AI tools integrate with your existing workflow:

  • Revit/AutoCAD — Export drawings directly for analysis
  • Bluebeam — Import AI findings as markup comments
  • Project management tools — Track issues and resolutions
  • Specification software — Cross-check specs against drawings automatically

You don't need to change how you work—AI enhances your existing process.

Getting started

Most firms begin with:

  1. One project type — Start with your most common building type
  2. Pre-check before submission — Catch obvious issues early
  3. Measure results — Track revision cycles and approval times
  4. Expand gradually — Add more project types as team confidence grows

Typical implementation: 2-4 weeks from start to full adoption

Looking forward

The construction industry has spent decades fighting the battle between design freedom and code compliance. AI in construction doesn't pick sides—it enables both.

When architects can check code instantly during design with AI for construction, they make better decisions from the start. When reviewers have AI for jurisdictions assistance, they can focus on design quality and coordination instead of routine code checks.

AI acts as an intelligent copilot for both sides. It flags potential issues, suggests solutions, and drafts comments—but humans make the final decisions on compliance and design intent.

The result: Better buildings, built faster, with less frustration for everyone involved.

That's the future Ichi is building: where AI handles the tedious analysis, and humans handle the important judgment calls.


Ready to streamline your plan review process? Explore Ichi's design review tools and see how pre-checking can transform your workflow from reactive to proactive.

Frequently Asked Questions

1What is this AI solution?

Picture this: You're ready to submit. The drawings are tight, the specs are checked, and you hit send with confidence. Then the dreaded email arrives: "Please address comments 1–47."

2How does AI design review work in practice?

1. Architect submits — 300+ sheets, specifications, calculations 2. Reviewer examines — Checks code compliance, coordination, completeness 3. Comments issued — Typically 20-50 items per submission 4. Architect revises — Addresses each comment, sometimes creating new issues 5. Resubmission — Start the cycle again Average time per cycle: 2-4 weeks Average cycles per project: 2-3 iterations Total delay: 6-12 weeks from first submission to permit issuance

3Why is AI design review important for construction teams?

The best AI tools don't just identify issues—they facilitate communication:

4What results can teams expect from implementing AI design review?

Teams typically see significant improvements including: 63% reduction, 50% reduction, 45% faster. Most firms report that AI automation reduces documentation time by 50-80%, allows junior staff to contribute productively within months instead of years, and eliminates costly revision cycles by catching issues before submission.

5How can construction teams get started with AI design review?

1. One project type — Start with your most common building type 2. Pre-check before submission — Catch obvious issues early 3. Measure results — Track revision cycles and approval times 4. Expand gradually — Add more project types as team confidence grows Typical implementation: 2-4 weeks from start to full adoption

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