AITENCY — Custom AI Systems
All Case Studies
Construction / Specialist EngineeringSoundproofing & Acoustic Treatment Company

Surveyors collecting site data manually with no automated analysis or solution recommendations

The Challenge

A company specialising in soundproofing and acoustic treatment solutions deployed multiple surveyors to construction sites daily — measuring room dimensions, noise levels, surface materials, and spatial characteristics. Each survey generated raw data that then required hours of manual analysis by senior engineers to determine appropriate treatment solutions, calculate expected acoustic performance improvements, and prepare client proposals. The disconnect between field data collection and the CRM system meant that survey results often sat in spreadsheets for days before being converted into actionable quotes, costing the company both speed and deal conversion.

The Solution

AI survey analysis engine with automated solution design and direct CRM integration

AITENCY built an AI-powered analysis engine that processed raw survey data — room measurements, noise readings, surface material classifications, and space purpose designations — and automatically generated treatment recommendations. The system cross-referenced survey inputs with the company's product catalogue, acoustic performance databases, and building regulation requirements to suggest optimal solutions. It calculated predicted post-treatment acoustic values (reverberation time, noise reduction coefficients, sound transmission class improvements) and generated preliminary proposals with material quantities and estimated costs. All outputs were written directly into the company's CRM system, linked to the relevant opportunity record, ready for senior review and client presentation.

Implementation

Delivered in 7 weeks: 2 weeks of domain knowledge extraction — cataloguing acoustic treatment products, performance characteristics, and the decision logic used by senior engineers; 2 weeks of AI model development and acoustic calculation engine; 2 weeks of CRM integration and proposal template design; 1 week of field testing with live survey data and engineer validation.

ClaudePythonPostgreSQLOdoo CRMCustom calculation enginePDF generation

Results

85% faster proposals

Survey-to-proposal turnaround reduced from 3-5 days to same-day delivery

40% more surveys/week

Surveyors freed from post-survey analysis, increasing field capacity

Direct CRM pipeline

Every survey automatically creates enriched opportunity records with solution data

Ongoing Value

The system continuously improves as completed projects feed actual performance data back into the model. Senior engineers now focus on complex or non-standard projects, while the AI handles routine residential and commercial acoustic assessments with reliable accuracy. The company reports a measurable improvement in quote-to-close conversion attributed to faster response times.

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