Structured surveys establishing a consistent baseline for new and existing homes, supporting compliance, lifecycle planning and long‑term asset management.
The client
Co‑operative Housing Ireland is a national Approved Housing Body (AHB) responsible for managing and maintaining a growing portfolio of social and affordable housing across Ireland. The organisation has expanded significantly in recent years, increasing its stock and requiring a structured, reliable asset data approach to support investment planning and compliance.
Services provided
The project
FFT supported CHI in establishing a consistent asset data baseline across its housing portfolio, including a large proportion of recently constructed homes.
The programme was designed to improve data quality and reduce reliance on historic or assumed information, ensuring that both new and existing properties could be managed within a single, robust asset management framework. This was particularly important as newer homes were being incorporated into the portfolio at pace, with limited verified condition data available beyond design and handover information.
Our role
FFT delivered a structured programme of condition surveys across selected schemes, combining external inspections, targeted internal surveys and a proportionate approach to data coverage.
For newer properties, our role focused on establishing a reliable baseline dataset, capturing key construction and component information so that these assets could be integrated into the client’s wider lifecycle and investment planning.
Survey outputs were aligned to CHI’s asset management system, ensuring the data could be used immediately by asset, compliance and finance teams.
The challenges
A significant proportion of the portfolio comprised relatively new homes, where condition is often assumed rather than verified. At the same time, access constraints across occupied dwellings made full inspection impractical.
Existing data also varied in quality and consistency, reflecting a mix of historic surveys, assumptions and partial updates. The challenge was to create a single, reliable dataset that could support both newer and older stock without over‑surveying or introducing unnecessary cost.
Added value
FFT applied a proportionate, portfolio‑wide approach that balanced efficiency with data reliability. By combining representative sampling with validated data replication, we achieved full coverage while maintaining consistency across schemes.
This approach was particularly effective for newer stock, where similar construction types allowed data to be applied confidently across comparable properties. It also enabled new build homes to be integrated into the asset dataset from an early stage, rather than being managed on assumption alone.
The outcome
CHI now has a consistent and reliable dataset across both new and existing homes, supporting investment planning, compliance and long‑term asset management.
The programme has also established a practical framework for incorporating new properties into the asset base as they are delivered, providing a clear starting point for future surveys and ongoing data validation as the stock matures.
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