Bildeasy
Construction compliance reports built from raw site evidence — turning voice notes, photos and observations into structured compliance and project-risk reporting.
The messy workflow
On a construction site, compliance evidence is generated faster than anyone can document it. An issue is a quick voice note; a defect is a photo with no caption; a decision happens in a corridor conversation. Site teams know what they saw — but turning that into a report a financier or stakeholder can trust takes hours that nobody has.
Bildeasy compresses that gap: capture evidence in the field, get a structured, defensible report out.
Inputs
- Voice notes from site
- Photos and images
- Site observations
- Meeting notes and project updates
Output
- Structured compliance reports
- Findings and risk summaries
- Action plans with scoring logic
- Stakeholder-ready documentation
System flow
The AI layer — and its limits
AI handles extraction, classification, structured analysis, report generation and action-plan drafting. It does not decide compliance status on its own — it drafts findings for a professional to confirm. Reports are framed as evidence-backed proposals, not authoritative rulings.
Guardrails
- Human review before any report is finalised or shared
- Findings linked back to the source evidence that triggered them
- Confidence and severity signalled, not hidden
- Clear limits on what the report can and cannot assert
- QA flow to catch over-confident or unsupported conclusions
Status
Founder-built product with working prompt architecture and report templates, validated against real stakeholder needs. Private walkthrough available during interview.
What I learned
In a regulated, liability-heavy domain, the report's credibility matters more than its polish. A finding is only useful if a professional can see why it was raised and trace it to evidence. Designing the report as an auditable chain — observation → finding → action — mattered far more than making the prose read well.