Northern Ireland DfI AI road stock-take: asset management lessons for engineers
Reviewed by Joe Ashwell

First reported on New Civil Engineer
30 Second Briefing
Northern Ireland’s Department for Infrastructure has commissioned mapping specialist Gaist to deliver a network-wide digital stock-take of its road assets using AI-based condition assessment. High-resolution imaging and machine-learning classification will be used to catalogue carriageway defects, drainage features and street furniture, creating a georeferenced inventory to support maintenance planning amid a mounting roads backlog. For asset managers and pavement engineers, the move signals a shift towards data-driven prioritisation of resurfacing, patching and drainage interventions across the regional network.
Technical Brief
- Centralised digital baselines allow future surveys to be compared for deterioration rates and treatment performance.
Our Take
Among the 174 Infrastructure stories in our coverage, AI is still relatively niche, so DfI’s use of Gaist’s tools in Northern Ireland positions it alongside only a small subset of UK transport authorities experimenting with AI-led asset condition surveys.
For UK public bodies like the Department for Infrastructure, AI-based ‘digital stock-takes’ typically become a prerequisite for moving from reactive pothole repairs to risk-based, whole‑network maintenance planning, which can materially change how budgets are defended in Treasury negotiations.
Because Northern Ireland’s local road network has historically had patchier condition data than some Great Britain regions in our database, a comprehensive AI-derived inventory is likely to expose a larger backlog than legacy records suggest, which can sharpen but also politically complicate prioritisation decisions.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
Related Articles
Related Industries & Products
Mining
Geotechnical software solutions for mining operations including CMRR analysis, hydrogeological testing, and data management.
Construction
Quality control software for construction companies with material testing, batch tracking, and compliance management.
CMRR-io
Streamline coal mine roof stability assessments with our cloud-based CMRR software featuring automated calculations, multi-scenario analysis, and collaborative workflows.
HYDROGEO-io
Comprehensive hydrogeological testing platform for managing, analysing, and reporting on packer tests, lugeon values, and hydraulic conductivity assessments.
GEODB-io
Centralised geotechnical data management solution for storing, accessing, and analysing all your site investigation and material testing data.


