Sustainability in Financial Reporting: The Role of AI-Powered Predictive Analytics
DOI:
https://doi.org/10.54536/ajmri.v4i3.4551Keywords:
Artificial Intelligence, ESG Reporting, Financial Reporting, Greenwashing Detection, Predictive Analytics, SustainabilityAbstract
Artificial Intelligence (AI) is revolutionizing sustainability reporting with greater accuracy, efficiency, and transparency in Environmental, Social, and Governance (ESG) disclosures. This paper uses a systematic literature review in line with PRISMA guidelines to explore how AI-based predictive analytics is improving sustainability-related financial reporting. Three research questions underpin this paper: (1) how AI-based predictive analytics is improving ESG reporting, (2) challenges and benefits in adopting AI, and (3) future trends in AI-based sustainability reporting. Research indicates that AI significantly enhances ESG reporting through data-gathering automation, trend identification in sustainability, and greenwashing minimization. AI-based predictive models enhance business decision-making through sustainability risk forecasting and regulatory compliance. Ethical risks, regulative uncertainty, high implementation cost, and data privacy are a few challenges that restrict AI adoption. New areas of focus include trends like explainable AI (XAI), AI-based ESG investment, and AI-based forecasting in finance. The study has direct applicability for firms to implement AI in ESG reporting and recommends policy interventions to introduce standardization in AI usage in sustainability disclosures. Future research should develop AI models tailored to small and medium-sized firms (SMEs) and investigate AI’s role in countering sustainability misinformation. With effective implementation, AI can revolutionize ESG reporting, enhancing corporate accountability and sustainability performance in the long run.
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Achard, S. (2024, November 14). Regrow Ag marks 8th anniversary with new tools. IGrow News. https://igrownews.com/regrow-ag-latest-news/
Ahmad, V., Goyal, L., Arora, M., Kumar, R., Chythanya, K. R., & Chaudhary, S. (2023). The impact of AI on sustainability reporting in accounting. 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), 643–648. https://doi.org/10.1109/ic3i59117.2023.10397863
Al-Blooshi, L., & Nobanee, H. (2020). Applications of artificial intelligence in financial management decisions: A mini-review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3540140
Aldemir, C., & Uysal, T. U. (2025). Artificial intelligence for financial accountability and governance in the public sector: Strategic opportunities and challenges. Administrative Sciences, 15(2), 58. https://doi.org/10.3390/admsci15020058
Almeida, F., & Bálint, B. (2024). Approaches for hybrid scaling of agile in the IT industry: A systematic literature review and research agenda. Information, 15(10), 592. https://doi.org/10.3390/info15100592
Alzeghoul, A., & Alsharari, N. M. (2024). Impact of AI disclosure on the financial reporting and performance as evidence from US banks. Journal of Risk and Financial Management, 18(1), 4. https://doi.org/10.3390/jrfm18010004
Anton, C. E., Ciobanu, E., Brătucu, G., & Bucs, L. (2024). Using chatbots to enhance integrated reporting: Insights from accounting and consultancy companies from Romania. Electronics, 13(23), 4801. https://doi.org/10.3390/electronics13234801
Artene, A., Domil, A., & Ivascu, L. (2024). Unlocking business value: Integrating AI-driven decision-making in financial reporting systems. Electronics, 13(15), 3069. https://doi.org/10.3390/electronics13153069
Balch, O. (2024, August 8). Regrow’s Anastasia Volkova: To cool the planet, regenerative agriculture “has to come as standard”. Reuters. https://www.reuters.com/sustainability/sustainable-finance-reporting/anastasia-volkova-interview-cool-planet-regenerative-agriculture-has-come-2024-08-08/
Balcıoğlu, Y. S., Çelik, A. A., & Altındağ, E. (2024). Artificial intelligence integration in sustainable business practices: A text mining analysis of USA firms. Sustainability, 16(15), 6334. https://doi.org/10.3390/su16156334
Bin-Nashwan, S. A., Li, J. Z., Jiang, H., Bajary, A. R., & Ma’aji, M. M. (2024). Does AI adoption redefine financial reporting accuracy, auditing efficiency, and information asymmetry? An integrated model of TOE-TAM-RDT and big data governance. Computers in Human Behavior Reports, 17, 100572. https://doi.org/10.1016/j.chbr.2024.100572
Braun, V., & Clarke, V. (2022). Toward good practice in thematic analysis: Avoiding common problems and be(com)ing a knowing researcher. International Journal of Transgender Health, 24(1), 1–6. https://doi.org/10.1080/26895269.2022.2129597
Bulău, C. M., Mustătea, A., & Matei, M. (2024). Can artificial intelligence (AI) become an active assistant to the finance, audit, and accounting functions? A credit control data analysis approach. Acta Universitatis Danubius, 20(4), 109–126.
Burnaev, E., Mironov, E. G., Shpilman, A., Mironenko, M. S., & Katalevsky, D. (2023). Practical AI cases for solving ESG challenges. Sustainability, 15(17), 12731. https://doi.org/10.3390/su151712731
Chang, A., Lee, T., & Lee, H. (2023). Applying sustainable development goals in financial forecasting using machine learning techniques. Corporate Social Responsibility and Environmental Management, 31(3), 2277–2289. https://doi.org/10.1002/csr.2694
Coelho, R., Jayantilal, S., & Ferreira, J. J. (2023). The impact of social responsibility on corporate financial performance: A systematic literature review. Corporate Social Responsibility and Environmental Management, 30(4), 1535–1560. https://doi.org/10.1002/csr.2408
Dhiman, R., Miteff, S., Wang, Y., Ma, S.-C., Amirikas, R., & Fabian, B. (2024). Artificial intelligence and sustainability—A review. Analytics, 3(1), 140–164. https://doi.org/10.3390/analytics3010008
Elda, D. T. (2024). Thirty years of sustainability reporting: Insights, gaps and an agenda for future research through a systematic literature review. Sustainability, 16(23), 10750. https://doi.org/10.3390/su162310750
Ertz, M., Latrous, I., Dakhlaoui, A., & Sun, S. (2024). The impact of big data analytics on firm sustainable performance. Corporate Social Responsibility and Environmental Management, 32(1), 1261–1278. https://doi.org/10.1002/csr.2990
European Commission. (2024). Corporate sustainability reporting. European Commission. https://finance.ec.europa.eu/capital-markets-union-and-financial-markets/company-reporting-and-auditing/company-reporting/corporate-sustainability-reporting_en
Feeney, C. (2024, May 15). The complete guide to sustainability reporting. AuditBoard. https://www.auditboard.com/blog/sustainability-reporting/
Gîngută, A., Ștefea, P., Noja, G. G., & Munteanu, V. P. (2023). Ethical impacts, risks and challenges of artificial intelligence technologies in business consulting: A new modelling approach based on structural equations. Electronics, 12(6), 1462. https://doi.org/10.3390/electronics12061462
Global Reporting Initiative. (2023). 2023 GRI annual report. Global Reporting Initiative. https://www.globalreporting.org/media/jj4lfcmq/2023-gri-annual-report.pdf
Gotoman, J. E. J., Luna, H. L. T., Sangria, J. C. S., Santiago Jr., C. S., & Barbuco, D. D. (2025). Accuracy and reliability of AI-generated text detection tools: A literature review. American Journal of IR 4.0 and Beyond, 4(1), 1–9. https://doi.org/10.54536/ajirb.v4i1.3795
IFRS Foundation. (2024). IFRS sustainability disclosure taxonomy 2024. IFRS.org. https://www.ifrs.org/issued-standards/ifrs-sustainability-taxonomy/ifrs-sustainability-disclosure-taxonomy-2024
Janice, F., & Delina, L. L. (2024). Potentials and challenges of artificial intelligence-supported greenwashing detection in the energy sector. Energy Research & Social Science, 115, 103638. https://doi.org/10.1016/j.erss.2024.103638
Johri, A. (2025). Impact of artificial intelligence on the performance and quality of accounting information systems and accuracy of financial data reporting. Accounting Forum, 1–25. https://doi.org/10.1080/01559982.2025.2451004
Karger, E., & Kureljusic, M. (2023). Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda. Journal of Applied Accounting Research, 25(1), 81–105. https://doi.org/10.1108/JAAR-06-2022-0146
Khoruzhy, L. I., Semenov, A. V., Averin, A. V., & Mustafin, T. A. (2022). ESG investing in the AI era: Features of developed and developing countries. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.951646
König, P. D., Wurster, S., & Siewert, M. B. (2023). Sustainability challenges of artificial intelligence and citizens’ regulatory preferences. Government Information Quarterly, 40(4), 101863. https://doi.org/10.1016/j.giq.2023.101863
Liu, L. X., Sun, Z., Xu, K., & Chen, C. (2024). AI-driven financial analysis: Exploring ChatGPT’s capabilities and challenges. International Journal of Financial Studies, 12(3), 60. https://doi.org/10.3390/ijfs12030060
Mienye, I. D., Sun, Y., & Ileberi, E. (2024). Artificial intelligence and sustainable development in Africa: A comprehensive review. Machine Learning with Applications, 18, 100591. https://doi.org/10.1016/j.mlwa.2024.100591
Moodaley, W., & Telukdarie, A. (2023). Greenwashing, sustainability reporting, and artificial intelligence: A systematic literature review. Sustainability, 15(2), 1481. https://doi.org/10.3390/su15021481
Oyeniyi, L. D., Ugochukwu, C. E., & Mhlongo, N. Z. (2024). The influence of AI on financial reporting quality: A critical review and analysis. World Journal of Advanced Research and Reviews, 22(1), 679–694. https://doi.org/10.30574/wjarr.2024.22.1.1157
Özer, G., Aktaş, N., & Çam, İ. (2024). Corporate environmental, social, and governance activities and financial reporting quality: An international investigation. Borsa Istanbul Review, 24(3). https://doi.org/10.1016/j.bir.2024.03.001
Ozkan, B. (2024). The transformative impact of AI on CSR, ESG, and sustainability: Critical review and case studies. International Finance Review, 23, 203–218. https://doi.org/10.1108/S1569-376720240000023012
Pattnaik, D., Ray, S., & Raman, R. (2024). Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review. Heliyon, 10(1), e23492. https://doi.org/10.1016/j.heliyon.2023.e23492
Peng, Y., Ahmad, S. F., Ahmad, A. Y. A. B., Al Shaikh, M. S., Daoud, M. K., & Alhamdi, F. M. H. (2023). Riding the waves of artificial intelligence in advancing accounting and its implications for sustainable development goals. Sustainability, 15(19), 14165. https://doi.org/10.3390/su151914165
Regrow. (2024). Regrow sustainability insights: Cut scope 3 emissions. Regrow.ag. https://www.regrow.ag/platform/sustainability
Ren, X., Hu, S., Sun, X., & Zhou, D. (2025). The impact of artificial intelligence on corporate greenwashing: Evidence from Chinese listed firms. Journal of Accounting Literature. https://doi.org/10.1108/jal-07-2024-0174
Reslan, F. B., & Al Maalouf, N. J. (2024). Assessing the transformative impact of AI adoption on efficiency, fraud detection, and skill dynamics in accounting practices. Journal of Risk and Financial Management, 17(12), 577. https://doi.org/10.3390/jrfm17120577
Riyath, M. I. M., & Jariya, A. M. I. (2024). The role of ESG reporting, artificial intelligence, stakeholders, and innovation performance in fostering sustainability culture and climate resilience. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/jfra-10-2023-0621
Runyon, N. (2024, August 7). ESG case study: How EnerSys uses GenAI to drive efficiency, ensure accuracy, and safeguard sustainability & ESG data. Thomson Reuters Institute. https://www.thomsonreuters.com/en-us/posts/esg/esg-case-study-enersys-genai-use/
Sætra, H. S. (2021). A framework for evaluating and disclosing the ESG-related impacts of AI with the SDGs. Sustainability, 13(15), 8503. https://doi.org/10.3390/su13158503
Sariyer, G., Mangla, S. K., Chowdhury, S., Sozen, M. E., & Kazancoglu, Y. (2024). Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies. Journal of Business Research, 181, 114742. https://doi.org/10.1016/j.jbusres.2024.114742
Segal, M. (2022, March 24). Sustainability reporting frameworks converging: IFRS, GRI agree to align disclosure standards. ESG Today. https://www.esgtoday.com/sustainability-reporting-frameworks-converging-ifrs-gri-agree-to-align-disclosure-standards/
Shalhoob, H. (2025). ESG disclosure and financial performance: Survey evidence from accounting and Islamic finance. Sustainability, 17(4), 1582. https://doi.org/10.3390/su17041582
Shiyyab, F. S., Alzoubi, A. B., Obidat, Q. M., & Alshurafat, H. (2023). The impact of artificial intelligence disclosure on financial performance. International Journal of Financial Studies, 11(3), 115. https://doi.org/10.3390/ijfs11030115
Sipola, J., Saunila, M., & Ukko, J. (2023). Adopting artificial intelligence in sustainable business. Journal of Cleaner Production, 426, 139197. https://doi.org/10.1016/j.jclepro.2023.139197
Sklavos, G., Theodossiou, G., Papanikolaou, Z., Karelakis, C., & Ragazou, K. (2024). Environmental, social, and governance-based artificial intelligence governance: Digitalizing firms’ leadership and human resources management. Sustainability, 16(16), 7154. https://doi.org/10.3390/su16167154
Sundarakani, B., & Ghouse, A. (2024). A systematic literature review and bibliometric analysis of blockchain technology for food security. Foods, 13(22), 3607. https://doi.org/10.3390/foods13223607
Sustainability Accounting Standards Board. (2024). SASB standards overview. https://www.sasb.org/standards/
Tariq, A., & Rahim, M. R. U. (2024). Role of artificial intelligence in enhancing sustainability reporting and green accounting in Industry 4.0. Acta Marisiensis Seria Technologica, 21(2), 31–38. https://doi.org/10.62838/amset-2024-0015
U.S. Environmental Protection Agency. (2024, April 17). Market developments around climate-related financial disclosures. EPA.gov. https://www.epa.gov/climateleadership/market-developments-around-climate-related-financial-disclosures
Undie, F. A., Kruglova, L. V., Okache, M. O., Undie, V. A., & Aloye, R. A. (2024). Exploring Explainable Artificial Intelligence (XAI) to enhance healthcare decision support systems in Nigeria. Journal of Innovative Research, 2(3), 41–48. https://doi.org/10.54536/jir.v2i3.3450
van der Heever, W., Satapathy, R., Park, J. M., & Cambria, E. (2024). Understanding public opinion towards ESG and green finance with the use of explainable artificial intelligence. Mathematics, 12(19), 3119. https://doi.org/10.3390/math12193119
Wang, J., Wang, X., Sun, F., & Li, X. (2024). The functional mechanisms through which artificial intelligence influences the innovation of green processes of enterprises. Systems, 12(9), 378. https://doi.org/10.3390/systems12090378
Zhang, C., & Yang, J. (2024). Artificial intelligence and corporate ESG performance. International Review of Economics & Finance, 96, 103713. https://doi.org/10.1016/j.iref.2024.103713
Zhang, D. (2024). The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence. Energy Economics, 133, 107562. https://doi.org/10.1016/j.eneco.2024.107562
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