AI Labs · prototype

Automatic issue descriptions

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

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 and accuracy lead to unreliable data.

Site manager writing down defects in a notebook

Time-consuming defect documentation

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

Inconsistent language and style

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

Difficult trend analysis and reporting

Inconsistent data cannot be analysed effectively. Insight into recurring defects, contractor performance and quality trends is lost.

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.

Key features

AI that writes the defect report for you

  • Defect recognition from photos

    AI analyses a photo taken on a phone or tablet and recognises the type of defect.

  • Description and category

    The system writes the issue description and assigns a category that matches your project.

  • Root cause analysis

    AI suggests the likely root cause of the problem.

  • Remedial work classification

    Each issue gets a work type and the trade responsible for the fix.

  • Corrective actions and costs

    The system proposes a remediation plan with a cost estimate.

  • Contextual verification

    Descriptions are checked for consistency and completeness, and the user approves them before submitting.

In practice

From photo to a complete issue in seconds

Taking a defect photo in the Hustro app1

Take a photo of the defect

Snap a photo with a phone or tablet directly in the Hustro app.

Engineer reviewing a defect description on a tablet2

AI writes the description

The system recognises the defect, assigns a category, suggests the root cause and proposes corrective actions.

Site team discussing an issue3

Approve and assign

Review the description, adjust it if needed and send the issue to the responsible trade.

Site engineer using Hustro
90%less time spent describing defects

Benefits

Less time on documentation, more time on actual site work

  • Time savings – up to 90% faster defect registration and description.
  • Standardised records – every description has the same structure and complete information, regardless of who registers it.
  • Higher data quality – consistent records enable better trend analysis and reporting across projects.
  • Faster corrective actions – thanks to precise AI recommendations and trade assignments.
  • Teams focused on solving problems – engineers spend time on supervision and decisions instead of paperwork.

How it works

How to get access to Hustro AI Labs

Site team reviewing results on a laptop
1

Get in touch

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

2

Discovery call

We discuss your 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 project with your team. We support you throughout and gather feedback.

5

Results and next steps

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

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

Tomasz Jones

Tomasz Jones

Digitalisation Specialist

Form - Book Demo

FAQ

Frequently asked questions

What is AI automatic issue description?

It 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. No manual typing required.

How does it work in practice?

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

What types of construction defects can the AI recognise?

The prototype recognises a wide range of defects – including cracks, surface damage, water ingress, incorrect installations, finishing defects and structural issues. The model is configured for your project type and defect categories during setup, improving accuracy over time.

How much time does it save?

Based on testing with construction teams, AI-generated descriptions reduce documentation time by up to 90%. A defect that took 3–5 minutes to document is registered in under 30 seconds. On a site with 20–50 issues a day, that saves several hours of engineering time daily.

Does the AI always get the description right?

The AI generates a structured draft which the site team member reviews before submitting – confirming, correcting or adjusting it in seconds. The model improves over time based on feedback, and contextual verification keeps issues consistent and complete.

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.

How do I get access to the 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.

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