AI - Automatyczne przedmiary
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AI LABS

Automatic Issue Descriptions – AI That Writes Defect Reports From Photos

Hustro AI analyses photos taken on construction sites and automatically generates structured defect descriptions - including defect type, location, severity and suggested responsible trade. Register a defect in seconds without typing a single word.

Problemy z manualnymi opisami zgłoszeń
Challenges

Manual issue registration
wastes time and creates inconsistent data

On construction sites and in industrial facilities, dozens of defects, non-conformances and technical observations are registered every day. Manual description takes valuable time - and differences in style, detail level and accuracy lead to unreliable data that is hard to analyse.

Manual issue registration challenges – Hustro AI
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Time-consuming defect documentation

Site engineers and managers spend hours every day manually typing defect descriptions and locations - slowing down response times and delaying corrective actions.

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Inconsistent language and style

Every team member writes issues differently - some too vague, others too technical. Without a standard format, comparing and analysing data across projects is unreliable.

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Difficult trend analysis and reporting

When data is inconsistent, it cannot be analysed effectively. Valuable insight into recurring defect patterns, contractor performance and quality trends is lost.

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Risk of errors and omissions

Under pressure, key information is easily missed - defect category, root cause or required corrective action. Incomplete records lead to wrong decisions and unresolved issues.

Key Features

AI Automatic Quantity Takeoff – From Construction Drawings to Bills of Quantities in Minutes

  • Automatic element recognition from PDF, CAD and BIM drawings

    AI scans construction drawings and automatically identifies structural elements, finishing components and building systems - no manual selection required.

  • Automatic material quantity calculation

    Surface areas, volumes, linear metres and unit counts calculated automatically from the drawing - producing a structured bill of quantities ready for cost estimation.

  • Supports PDF, CAD and BIM file formats

    The prototype works with the document formats your team already uses - no conversion or reformatting required before upload.

  • Automatic update when drawing revisions are uploaded

    When a new drawing revision is uploaded, the AI detects changes and updates quantities automatically - eliminating the need to redo the takeoff from scratch.

  • Structured output ready for cost estimation

    The quantity takeoff is exported in a structured format compatible with estimating software - ready for pricing without manual reformatting.

  • Configured for your project type and drawing conventions

    The model is set up for your specific building type, drawing standards and element categories during the onboarding phase - improving accuracy over time.

AI automatic quantity takeoff – Hustro AI Labs demo
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Korzyści
Benefits

Up to 90% less time on documentation,
more time on actual site work

  • Up to 90% time saving in the defect registration and description process
  • Standardised issue records - every description has the same structure and complete information, regardless of who registers it
  • Higher data quality - consistent records enable better trend analysis, pattern detection and reporting across projects
  • Faster corrective actions thanks to precise AI-generated remediation recommendations and trade assignments
  • Teams focused on solving problems - engineers spend time on site supervision and decision-making instead of paperwork
AI issue descriptions benefits – Hustro AI Labs
Kroki Procesu
How it works

How to get access to Hustro AI Labs

1

Get in touch

Fill in the contact form and tell us about your construction business, your team size and the processes you want to improve with AI.

2

Discovery call

We discuss your specific challenges and identify which AI prototype best fits your workflow and project type.

3

Prototype setup

We configure the AI prototype for your data — your drawings, your defect types, your document formats.

4

Testing on a real project

You test the prototype on a live construction project with your team. We support you throughout and gather feedback.

5

Results and next steps

We analyse results together and plan next steps — further development, integration with Hustro or a wider rollout.

FAQ — Zarządzanie zadaniami
FAQ

Frequently asked questions

What is AI automatic issue description?

AI automatic issue description is a Hustro AI Labs prototype that uses computer vision, machine learning and NLP to analyse photos of construction defects and generate structured issue descriptions automatically — including defect type, category, root cause, responsible trade and suggested remediation action. No manual typing required.

How does the automatic issue description work in practice?

A site team member takes a photo of a defect on their mobile phone. The AI analyses the image, recognises the defect type, classifies it and generates a structured description — including suggested category, responsible trade and severity level. The description is pre-filled in the Hustro defect form, ready to submit in seconds. The entire process takes under 30 seconds instead of several minutes.

What types of construction defects can the AI recognise?

The prototype is trained to recognise a wide range of construction defects — including cracks, surface damage, water ingress, incorrect installations, finishing defects and structural issues. The model is configured for your specific project type and defect categories during the setup phase, improving accuracy for your use case over time.

How much time does AI issue description save?

Based on testing with construction teams, AI-generated issue descriptions reduce documentation time by up to 90% compared to manual entry. A defect that previously required 3-5 minutes to document — photo, description, category, assignment — is registered in under 30 seconds. On a site with 20-50 issues registered daily, this saves several hours of engineering time every day.

Does the AI always get the description right?

The AI generates a structured draft description which the site team member reviews before submitting. This takes seconds — the user confirms, corrects or adjusts as needed. The model improves over time based on feedback. Contextual verification is built in to ensure consistency and completeness across all issues.

Does this work offline on construction sites?

Photos can be taken offline and the AI analysis runs when connectivity is restored. The Hustro mobile app works fully offline for defect registration — all data syncs automatically when the device reconnects. This is essential for basements, plant rooms and remote sites with poor signal.

How do I get access to the automatic issue description prototype?

The prototype is available to select clients and partners through the Hustro AI Labs programme. Fill in the contact form on this page — our team will get back to you within 24 hours to discuss your project type, defect categories and setup requirements.
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Get access

Try Hustro AI Labs on your construction project

Our AI prototypes are available for select clients and partners. Get in touch and we will find the right prototype for your team and project type.

Automatic quantity takeoff from drawings
AI reads PDF, CAD and BIM files - no manual measurement required
Automatic defect descriptions from photos
Register a defect in seconds - AI generates the description automatically
AI document comparison
Automatic detection of changes between drawing revisions - never miss a design update
Built and tested with real construction teams
Every prototype is developed with clients - not in a lab

Get access to AI Labs

Our team will get back to you within 24 hours

Roksana Sosnowicz

Roksana Sosnowicz

Digitalisation Specialist

Form - Book Demo
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