Evolutionizing Air Quality Management – Airly Unveils Groundbreaking AI Tool for Consultants

Evolutionizing Air Quality Management

Airly, a leading air quality company, has unveiled a groundbreaking AI tool designed to transform the tasks of air quality consultants. This innovative tool aims to significantly speed up the process of generating air quality assessments for planning applications, marking a new era in air quality management.

Marta Steiner, the Product Lead at Airly, emphasized the collaborative efforts with air excellence consultants in developing this AI tool. By harnessing the capabilities of AI, the need for manually gathering regional geographic, environmental, and transport data, as well as generating reports, has been eliminated. Steiner noted that these tasks are often tedious and time-consuming, making automation a logical choice to streamline processes and allow consultants to focus on tasks that demand their expertise.

Steiner further highlights the findings from rehearsal indicating that Airly AI can slash the time required to outline air excellence appraisal by 70%. This advancement not only brings meaningful advantages to air excellence consultancies but also expedites the expansion of planning applications. Particularly in scenarios where air excellence appraisal are needed recent in the growth, such as in booked matters or as segment of a specific drafting project, this acceleration is especially noteworthy.

How it works

An Airly AI user initiates the procedure by inputting fundamental details regarding a project into the Airly platform. Subsequently, leveraging the prowess of AI, the platform swiftly collates pertinent information from a plethora of online resources spanning both public and private sectors. These resources encompass esteemed entities such as local authorities, Defra, the Department of Transport, the Environment Agency, Google Earth, and Ordnance Survey.
In addition to cartographic data and regional rules pertinent to planning and transportation, Airly AI encompasses monitoring data sourced from the regional  government Annual Status Statistics. It also incorporates culture concentrations, human receptors, and ecological receptors. Furthermore, the software seamlessly integrates join to the aforementioned data origins.
“Ensuring traceability is of paramount importance,” elucidates Jethro Redmore, the visionary behind Redmore Environmental. “Upon assessing the novel Airly AI tool, we were gratified to ascertain that the data sources mirror precisely those utilized during our manual processes. This consistency assures us of maintaining the same levels of confidence in delivering precise, dependable, and defensible air quality assessments.”

Revolutionizing Air Quality Assessment – Accelerating Efficiency with AI Tools

Traditionally, compiling materials for air quality assessments could span several days. However, with the AI tool, this process is condensed to a matter of minutes. Subsequently, air quality consultants swiftly define the model and generate ADMS input files. Leveraging generative AI, the tool autonomously generates draft text for reports, alongside tables, figures, and images. Additionally, there’s an MS Word plug-in available to streamline report drafting, further enhancing efficiency and productivity.
Gone are the days when individuals had to navigate through multiple online data resources, searching for relevant information and painstakingly transferring data between different formats. This heavy process is now a thing of the past, freeing up consultants to delve deeper into data interpretation and provide valuable expert insights and advice. With the streamlined approach facilitated by the AI tool, consultants can focus their efforts on higher-value tasks, increasing the overall quality and efficiency of air quality assessments.
Jethro Redmore emphasizes the transformative impact of the Airly AI tool on the consultancy landscape, foreseeing enhanced efficiencies for early adopters. With streamlined processes, consultants can redirect their focus towards tasks that truly add value for clients. Redmore predicts swift adoption across the industry, as those without the tool may struggle to compete effectively in an increasingly competitive landscape.

Transforming Air Quality Management – Perspectives from Industry Leaders and Regulatory Guidance

Freya Hoyle, Associate Director at Rappor, echoes the sentiment, acknowledging initial skepticism toward AI while highlighting the fundamental purpose of consultancy work. She emphasizes that mundane tasks like copy-pasting detract from the core expertise consultants bring to the table. By automating these tasks, experts are liberated to engage in more stimulating and intellectually challenging endeavors. Furthermore, Hoyle anticipates an unforeseen advantage in staff recruitment and retention. Typically, junior consultants are burdened with data gathering duties, which may not align with their career aspirations or foster engagement in the air quality sector. Hoyle believes that the Airly AI tool’s ability to alleviate mundane tasks will enhance job satisfaction, making recruitment and retention efforts more fruitful.
The evolution of the tool adheres closely to the advice outlined by Environmental Conservation UK and the Institute of Air Quality Management (IAQM) in their influential archive, “Land-Use Planning & Development Control: Planning for Air Quality.” Recognized as the foremost rule for air quality professionals in the UK, the IAQM plays a pivotal role in setting industry standards. The publication serves as a cornerstone in confirming that Airly AI aligns with all pertinent regulations and best practices within the field of air quality management.
Lucy Parkin, a member of the IAQM and with extensive experience leading air quality policy in London, expresses enthusiasm for the integration of AI in air quality management. Parkin emphasizes the importance of effective evidence delivery in informing policy development. With AI’s assistance, policymakers and town planners can gain deeper insights into the root causes of pollution hotspots, enabling them to design more targeted and effective mitigation measures. This advancement promises to enhance the efficacy of air quality management strategies, ultimately contributing to healthier and more sustainable urban environments.

Evaluating Airly AI

During the initial evaluation phase, more than twenty-five air quality consultancies volunteered to assess the new tool. Each of these firms has received a comprehensive demonstration of the system. Marta Steiner reports that the feedback has been overwhelmingly positive. Consultants were impressed by the significant improvement in data gathering speed facilitated by the tool. They also appreciated the opportunity it presented to allocate more time to value-added activities. Additionally, many noted that automating mundane tasks would reduce the likelihood of human error, further enhancing the reliability of their work.
Throughout March 2024, each participating consultancy will receive a user account, enabling them to thoroughly test the tool in live scenarios. Marta elaborates, stating, “Initially, the majority of users will apply the tool to projects they’ve already completed. Consequently, they’ll promptly assess the quality of the generated material, facilitating direct comparison with manually created content.”
Drawing a comparison to advancements in other software-based technologies, Airly CEO Wiktor Warchalowski predicts a significant impact from the new AI tool in the air quality sector. He likens its potential influence to that of CAD (Computer-Aided Design) software in the engineering sector. Just as CAD software has become integral to the design process for nearly every new product, Warchalowski envisions a future where AI similarly revolutionizes air quality assessments. With its capability to streamline processes and increase efficiency, AI is poised to become an indispensable tool in the field, facilitating the delivery of high-quality air quality assessments across various projects.
Looking ahead, Wiktor emphasizes the positive outcomes anticipated with the implementation of Airly AI. He foresees cost reductions and time savings for air quality consultants, along with an enhanced work experience that allows them to leverage their abilities and expertise more effectively. From the civil’s outlook, the most noticeable impact will likely be the increased processing of planning applications. With AI streamlining the appraisal procedure, stakeholders can expect quicker outcomes, facilitating smoother and more efficient urban development projects.

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