NXTBLDNG unlocks carbon emissions and retrofit data for buildings at Lloyds Banking Group

Data-driven decarbonisation of property portfolios is high on the agenda across the financial sector. This is certainly the case for Lloyds Banking Group, one of the largest financial institutions in the United Kingdom. In line with PCAF standards, Lloyds aimed to reliably map the financed emissions of its real estate assets: a complex challenge, given the scale, variation in data quality and fragmentation of available sources.

To meet this goal, Lloyds expanded its long-standing partnership with CFP Green Buildings. The collaboration builds on five years of trust and successful use of the Green Buildings Tool. This time, Lloyds opted for a comprehensive process of data enrichment, address matching and quality control, powered by CFP’s new digital twin platform: NXTBLDNG.

NXTBLDNG: One platform for reliable, scalable building data

NXTBLDNG (Next Building), the digital twin platform by CFP Green Buildings, enables financial institutions to enrich, validate and structure real estate data at scale. In Lloyds’ case, it involved a one-off delivery of a comprehensive dataset, tailored specifically for integration into the bank’s internal systems.

The approach offered a balanced combination of precision and quality assurance, including:

• Automated address matching
• Levenshtein algorithm to recognise similar addresses
• AI scripts to identify anomalies and errors
• Match scores on a scale from 1 to 100

The result was a clear and reliable dataset including carbon emissions, floor areas, energy labels and indicative retrofit investment values for the entire commercial property portfolio.

Directly usable insights

The data was delivered to Lloyds in a structured CSV file, allowing for seamless integration into the bank’s internal systems. The dataset focused on the commercial property back book and included both current and estimated EPC ratings, building sizes, estimated carbon emissions and indicative costs for energy efficiency measures.

A key component of the dataset was the inclusion of PCAF emissions scores. These made it possible to immediately apply the data in mandatory sustainability reporting, with clear categorisation of data quality. Eighty percent of properties were rated as category 3 (based entirely on validated data), 20 percent as category 4 (partially based on assumptions), and just 0.1 percent fell into category 5 due to limited data availability. This enabled Lloyds to meet reporting requirements in a well-substantiated and efficient manner. It was an essential step towards transparent, data-driven accountability.

Result: more reliable reporting and more targeted action

The dataset delivered by CFP allows Lloyds to carry out property portfolio analyses more consistently, transparently and efficiently. Reporting becomes easier to substantiate, and where further energy improvements are possible, targeted next steps can be taken.

Feedback from Lloyds on the project was positive. The quality, completeness and reliability of the data were especially appreciated as standout strengths.

By adopting CFP’s NXTBLDNG platform, Lloyds Banking Group strengthens its data-driven strategy. With structured, scalable access to real estate information, the bank is creating new opportunities for efficient internal processes, deeper client insights and future-proof decision-making.