AI‑Driven Accuracy for Electrical Take‑Offs: Our Bill of Materials Generator

Sector

Electrical/Construction

Location

London, United Kingdom

Revenues

–

About

Our Client

Our client is a leading UK-based electrical contractor and solar PV installer. Operating nationwide with a strong focus on new‑build housing and apprenticeship training, the organisation delivers electrical services at scale

Outcome

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Manual counting time reduced dramatically, freeing staff to focus on higher‑value work.



Accuracy and consistency increased, resulting in confidence‑boosting tender submissions.

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Errors and risk reduced, thanks to automatic validation and exception highlighting.



A scalable, standardised workflow, enabling faster responses to tender opportunities.

Executive Summary

A leading UK-based electrical contractor delivering large-scale residential projects was facing increasing pressure to meet demanding tender timelines. Manual processes – such as interpreting drawings, counting electrical components, and calculating requirements – were time-consuming, resource-intensive, and prone to inconsistency.

TTG partnered with the organisation to implement an AI-powered plan-reading and tender preparation workflow. The solution enables teams to upload drawings into an automated system that identifies key symbols, standardises outputs, and generates pricing-ready Excel files. This transformation has significantly reduced manual effort, improved consistency, and enhanced the client’s ability to compete at speed and scale.

The Challange

Manual, Time‑Consuming Take‑Offs Causing Delays and Inconsistency

The client relied heavily on manual processes to complete socket and wiring take‑offs for tender submissions. Electricians were often required to spend long periods reviewing electrical plans, counting each type of socket and documenting wiring requirements room by room. These figures then had to be manually transferred into spreadsheets, introducing further risk of error and inconsistency.

Tender deadlines were tight, and variations across room layouts and property types made maintaining consistent accuracy challenging. The need to complete counts quickly meant even experienced staff were under pressure to balance speed with precision. As workloads grew, these manual steps became a significant operational bottleneck. The client needed a way to increase speed without sacrificing accuracy, reduce the strain on key personnel, and establish a repeatable workflow capable of scaling with demand.

The Solution

AI‑Enabled Plan Reading and Automated Tender Documentation

TTG implemented an intelligent solution that transformed the take‑off process. Instead of manually reviewing drawings, the client’s teams can now upload electrical plans directly into an AI‑driven workflow. The system automatically interprets the drawings, identifies socket symbols across rooms and floors, and calculates wiring lengths based on layout and positioning – ensuring a consistent standard across all projects.

The workflow compiles this data into structured Excel outputs ready for tender documentation. Any anomalies or edge cases are flagged for rapid human review, enabling electricians to focus on validation rather than manual counting. This approach significantly reduces the time required to produce accurate take‑offs while ensuring outputs are consistent and ready for pricing with minimal post‑processing.

The Success

Faster Turnaround, Improved Accuracy, and Stronger Tender Confidence

The AI-powered workflow has significantly improved the client’s tender preparation process. Tasks that previously required extensive manual effort can now be completed with greater speed and consistency. Electrical plans are processed rapidly, producing socket counts and wiring calculations that meet internal accuracy standards with minimal intervention.

This shift has reduced errors and increased confidence in the reliability of outputs, enabling teams to respond to tenders more quickly and decisively. Structured Excel outputs allow pricing teams to move forward immediately, while exception handling ensures that effort is focused on validating a small number of flagged items rather than reviewing entire plans. The result is a more efficient process that saves time, reduces operational strain, and provides a scalable foundation for growth.