Modern sustainability teams have to comply with evolving environmental, social, and governance (ESG) standards and requirements. This, coupled with ESG compliance and reporting inefficiencies like manual processes, high data volumes, and fragmented data, makes it challenging for them to achieve their goals.
That’s why many ESG professionals and consultants are turning to artificial intelligence (AI). They’re using AI to streamline climate reporting processes, enhance ESG data accuracy, promote consistency in reporting, and seamlessly scale their gap analyses, making it easier to comply with ESG frameworks.
Here, we examine the role of AI in ESG and provide practical AI use cases and benefits to help you leverage the technology effectively.
What is the role of AI in ESG?
The process of developing and implementing an ESG strategy is incredibly data-driven. In fact, data is the most vital element in ESG decisions, as it acts as a compass for investors, ESG practitioners, and other business stakeholders. However, analyzing it manually is a complex and time-consuming task.
That’s where AI comes into play. It uses machine learning algorithms to automate the analysis of large datasets, including broad and hard-to-mine ESG information, reducing the time spent on administrative tasks. As a result, teams can focus on higher-value strategic activities.
For example, Manifest Climate, an AI-powered gap analysis tool, analyzes a wide range of documents—including ESG reports, regulated public disclosures, and other materials—and transforms them into clear, easy-to-understand insights. This makes it easier for ESG teams to identify gaps in their current disclosures and prepare regulation-compliant reports.
Use cases for AI in ESG compliance and reporting
AI serves a wide range of purposes in ESG compliance and reporting, and we’ll look at the top seven here.
1. Improving efficiency, speed, and consistency of gap assessments
Gap assessments require ESG professionals to analyze vast amounts of data and identify discrepancies between existing disclosures and ESG regulations and frameworks. Without AI, this process is lengthy, complex, and prone to errors.
AI elevates gap assessments by enabling ESG consultants to analyze disclosures in minutes and uncover first-pass compliance determinations to improve client reporting. It also minimizes the risk of human errors that could impact the accuracy, consistency, and quality of ESG decisions.
Take Manifest Compliance, for example. The AI-powered tool empowers consultants to efficiently identify and close reporting gaps, streamlining compliance with reduced manual effort.
2. Streamlining ESG auditing workflows
ESG audits require teams to collect, verify, and analyze data from different sources, sometimes with varying reporting formats. Unfortunately, this can make it difficult for auditors to get an accurate picture of companies’ ESG processes.
AI can streamline the auditing process by gathering data and consolidating it into a unified platform. It can also automate compliance checks and simplify report preparation, allowing auditors to guide clients effectively while saving time.
3. Supporting prospecting efforts for ESG consultants
Since ESG consultants thrive on a healthy flow of clients, they need to regularly identify organizations that require their services. But with many facing time constraints because of the demanding nature of their jobs, it can be difficult to find the time to prospect new clients while managing existing engagements.
AI-driven tools can lighten the burden by analyzing public data—such as sustainability reports and public filings—to identify companies with potential ESG challenges that are likely to need consulting services. Consultants can also use the data to tailor proposals to address specific compliance needs and secure impactful engagements.
4. Benchmarking ESG performance
Delivering benchmarking reports is a time-intensive challenge. ESG professionals often have to analyze disparate data sources when comparing an organization’s performance against peers and industry standards as a whole.
AI simplifies the process by aggregating data from multiple sources. This enables consultants to perform precise comparisons across industries and competitors, allowing for better insights into relative ESG performance.
5. Upskilling research for ESG consultants
As ESG standards evolve and projects diversify, consultants have to upskill. They must rapidly gain expertise in niche topics and stay updated on dynamic ESG frameworks to not only serve their clients effectively but also remain competitive.
AI-driven tools help by summarizing regulations and providing detailed, expert-driven gap analyses, with justifications for each regulatory requirement. Junior consultants can then learn from these reviews, and senior experts can quickly validate their work, fostering confidence and expertise across teams.
Some AI technologies can also adapt training modules to consultants’ unique learning needs, allowing them to upskill in specific ESG domains.
6. Finding compliant disclosure examples for CSRD reporting
Since it was just implemented in 2023, the Corporate Sustainability Reporting Directive (CSRD) is still relatively new for many organizations. So there’s a scarcity of high-quality reporting examples companies can emulate.
AI tools help address this challenge by analyzing and extracting relevant disclosure examples from publicly available filings. Some then assemble a centralized library of curated, compliant quotes, allowing consultants to create exceptional reports that align with evolving standards. This accelerates report drafting and promotes compliance with CSRD requirements.
7. Simplifying compliance for ESG auditors
ESG auditors often struggle to provide clients with well-drafted compliance examples without assuming consultancy roles. AI tools like Manifest Climate solve this problem by providing a repository of evaluated compliant disclosures. This enables auditors to offer guidance efficiently while maintaining their advisory boundaries.
Key benefits of AI in ESG compliance
It’s normal to be skeptical about introducing new technology into your processes. So it may be reassuring to learn that ESG teams are already using AI for research purposes, consultants are leveraging it for ESG gap analyses, and auditors are using it to automate compliance checks.
That said, you can expect these key benefits when you leverage AI models for ESG compliance:
Saving time and resources
AI automates labor-intensive, repetitive tasks like data collection, gap analysis, and reporting, minimizing the need for manual intervention. This saves consultants a lot of time and allows them to focus on higher-value tasks like stakeholder engagement.
Automating repetitive tasks also enables companies to analyze compliance requests more efficiently and facilitates quicker decision-making.
Reducing errors and increasing confidence
ESG-focused AI minimizes human error by standardizing information from different sources and cross-referencing datapoints. This promotes compliance with complex ESG regulations, limiting the risk of legal, financial, or reputational repercussions.
AI purpose-built for the ESG space also helps validate data, promoting information accuracy and traceability. Data integrity is vital since it builds trust with key stakeholders like partners, investors, and regulators.
Scalability for growing demand
AI processes large data sets quickly, allowing ESG consultants to analyze thousands of reports from numerous sources within short time frames. Fast results allow them to take on new clients and effectively respond to requests for proposals (RFPs) without compromising service quality.
Business continuity
AI supports long-term ESG goals and strategy development by maintaining a steady flow of accurate and current insights. It helps organizations align their ESG programs with up-to-date standards and facilitates seamless compliance regardless of company restructuring or staff turnover, promoting business continuity.
Considerations for using AI in ESG
The value of AI in ESG compliance is clear. That said, there are concerns over data inaccuracy resulting from AI hallucinations, the loss of the human touch, and ESG teams’ ability to leverage AI-driven tools effectively. For optimal outcomes in their AI adoption initiatives, organizations need to address these issues by:
Using AI tools purpose-built for ESG compliance
Not just any AI tool will be effective for ESG regulatory compliance. While generic generative AI solutions like ChatGPT may be valuable in some business processes, they are unsuitable for ESG compliance because they lack domain-specific knowledge and contextual understanding. Using them can result in inaccurate or misleading information, exposing organizations to non-compliance risks.
Specialized platforms like Manifest Climate differ from generic AI tools like ChatGPT in that they focus solely on the needs of the ESG space and have an in-depth understanding of complex ESG frameworks. So they can provide the precision needed to meet nuanced ESG standards and avoid the risks of inaccurate outputs.
Including human oversight
Human expertise is necessary in AI processes to ensure that results align with regulatory requirements. Unfortunately, some AI tools remove human input from the equation, impacting the quality of ESG reports and decisions.
To promote data accuracy and reliability, use AI solutions that bring human expertise to your processes. Manifest Climate is an excellent option because it incorporates insights from highly specialized ESG professionals and regularly conducts quality assurance checks to ensure compliance assessments are accurate and reliable.
Training and upskilling
AI tools will only be effective if your team knows how to use them. Invest in training programs that help each member understand basic AI functionalities, how to maximize the potential of AI systems, and how to manage them efficiently.
Ideally, every ESG practitioner should know how to use AI to collect data, conduct gap analyses, prepare reports, and keep up with evolving ESG requirements.
Easily integrate AI into your ESG processes with Manifest Climate
With its ability to comb through mountains of data, standardize ESG information, and automate gap analyses, AI has become a valuable tool for stakeholders in the ESG space, including organizations, ESG consultants, and auditors. To maximize its value, opt for systems purposely built for ESG compliance instead of generic options, as they have a more nuanced understanding of ESG standards.
As an AI-powered tool focused on ESG, Manifest Climate offers unparalleled compliance assistance. Our platform collects and analyzes extensive data sets and offers the regulatory depth and data accuracy ESG-regulated organizations, consultants, and auditors need to comply with different ESG frameworks.
Schedule a demo with Manifest Climate to learn how our AI solution can streamline ESG compliance!
