BREEAM V7.1 New Construction Project Delivery Workspace
BREEAM Project Delivery Workspace is designed to help sustainability teams manage the relationships between assessment requirements, project decisions, responsible people and evidence. The application brings those records into a shared workflow, with programme controls, revision-specific review, change tracking and preparation of detailed sustainability statements.
The BREEAM Project Delivery Workspace is a digital tool I developed to help sustainability teams coordinate BREEAM projects from early planning through construction, handover and aftercare. It brings project requirements, responsibilities, deadlines, evidence and outstanding issues into a shared working environment. The aim is to make complex projects easier to manage and give teams a clearer understanding of what requires attention.
The idea grew from my interest in sustainability consultancy and the practical demands of delivering building certification projects. BREEAM involves contributions from clients, architects, engineers, contractors, specialist consultants and assessment professionals. Their work must come together at the right stages, supported by appropriate evidence. When several projects run simultaneously, keeping track of those relationships can become a significant coordination task.
A project may appear to be progressing while an important requirement remains unresolved. A document may have been submitted but still need clarification. A design decision may affect work already completed by another team member. Some requirements also depend on decisions made early enough to influence the project. These situations shaped the central question behind the tool: how can a sustainability team maintain a clear, current view of project delivery without spending excessive time chasing information?
I approached the project by combining my background in the sustainable built environment with my AI and data science skills. My sustainability knowledge helped me identify the information that matters in practice, including project stages, evidence quality, responsible parties, risks and handover obligations. My data science background helped me consider how that information could be organised and used to support more consistent working practices.
I originated the project concept and directed its requirements and development priorities. The work developed through research, workflow design, AI-assisted software development and structured testing. Throughout the process, I focused on the needs of a consultancy team handling several projects, with different professionals contributing at different times. The initial technical scope was developed around BREEAM UK New Construction V7.1.
For the people using it, the workspace is intended to answer straightforward questions: what needs to happen next, who is responsible, what is due, what evidence is available and what is preventing progress? It supports coordination across the team and helps project managers identify outstanding actions before they become more difficult to resolve.
Evidence management is a central part of the project. Sustainability delivery depends on being able to explain and substantiate decisions, rather than simply record that an activity has taken place. The workspace helps teams maintain an organised project record and understand which information still requires review or follow-up. This supports clearer communication between those producing the evidence and those assessing its adequacy.
The tool also supports the preparation of a detailed sustainability statement at handover or closeout. Bringing together the project’s sustainability information can help the team explain the work completed, the evidence supporting it and any obligations that continue after handover. This creates continuity between day-to-day delivery and the final project account.
AI and automation form part of the application, with confidentiality and professional accountability treated as priorities. Their role is to assist selected activities and reduce repetitive work. Technical judgement, evidence acceptance and formal assessment remain subject to appropriate human review. The project therefore reflects my interest in applying AI carefully within professional sustainability practice.
The standalone application has been developed and has undergone structured testing of its principal functions. Commissioning and evaluation within a consultancy environment are the next steps. Its intended benefits include less time spent locating information, clearer ownership of actions, better visibility of deadlines and more consistent reporting. Those benefits will need to be measured through real use before quantified improvements can be claimed.
For my portfolio, this project demonstrates how I can connect sustainability requirements with practical digital solutions. It shows my ability to recognise a delivery problem, translate it into a useful tool and consider the people, information and professional responsibilities involved. It also illustrates the contribution I could make within a consultancy: applying sustainability expertise alongside AI and data science to support teamwork, productivity and the quality of project delivery.