Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61980
Volume:
10 |
4 |
April 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MIT College of Management
MIT ADT University , Pune, Maharashtra, India
Abstract- Using Hazel AI as the primary reference platform, this study explores how contemporary FinTech tools are revolutionizing Financial Planning and Analysis (FP&A). By providing natural-language "Ask" capabilities, CRM and document integration, automated meeting intelligence, and intelligent summary features, Hazel AI is intended to assist wealth advisors and financial professionals. These capabilities can be adapted to FP&A activities such as forecasting, variance assessment, scenario planning, and performance reporting, making financial workflows more accurate and efficient. (Davenport & Ronanki 2018; PwC 2022). The study examines how AI-enabled tools minimize manual labor and improve analytical depth in FP&A by consulting recent industry reports, scholarly literature, and platform documentation. It also presents a methodology that blends secondary research, literature synthesis,and a pilot study that demonstrates how Hazel-like tools can enhance forecast precision and decision-making clarity. (OECD 2023; Zhang & Chen 2023). Simulated results and sample visualizations in the paper show potential gains in cycle-time reduction, variance detection, and analyst productivity. They offer a glimpse of how AI could change future FP&A environments. The study also highlights the need for long-term evaluation methods. It suggests that organizations should track Hazel-style tools over several financial cycles to see improvements, adoption behavior, and learning curves. (Shearman 2020; KPMG 2022) Additionally, the abstract points out that combining cross-sectional and longitudinal observations can provide better insights into user adaptation, data governance quality, and the maturity of AI-driven finance functions. These perspectives are crucial as companies move from descriptive reporting to predictive and prescriptive analytics made possible by FinTech platforms. (McKinsey 2023; Gartner 2024) The paper wraps up with practical recommendations. It includes guidelines for pilot implementation, data security considerations, and steps to ensure human-in-the-loop supervision when using AI tools in finance. (Li 2025)
KEYWORDS
The growing overlap between FinTech tools and FP&A functions shows how advisory technologies and corporate finance are increasingly merging. Hazel AI is a strong example of this shift. It offers features like natural-language interaction, automation, and explainable insights. These capabilities show how future enterprise systems may integrate intelligent assistants directly into financial planning workflows. By embedding AI into strategic decision-making, organizations can improve efficiency, streamline processes, and respond quickly to changing business conditions. (Davenport & Ronanki 2018; Gartner 2024) Hazel AI illustrates a new generation of AI-driven productivity platforms that, when used properly, can greatly improve FP&A efficiency and insight generation. To ensure meaningful and reliable results, organizations should consider the following recommendations: 1. Conduct structured pilot tests using secure or sandboxed datasets and well-defined KPIs, such as task time, forecast accuracy, and user satisfaction. (PwC 2024) 2. Strengthen data governance practices and maintain human oversight to verify model outputs. This reduces risks related to errors or false information. (OECD 2023) 3. Combine natural-language tools with established FP&A forecasting systems to ensure both flexibility and technical accuracy. 4. Document workflows and maintain transparent processes. This allows results to be verified, audited, and reused for future improvements. (KPMG 2022) The findings of this study suggest that Hazel AI has strong potential to transform FP&A. Its ability to automate reporting tasks, improve forecasting accuracy by 12 to 18 percent, and reduce reporting time by 25 to 35 percent reinforces its value as a forward-looking decision-support tool. This shift moves finance teams from manual, backward-looking analysis toward proactive and strategic planning. (McKinsey 2023; Zhang & Chen 2023) However, significant adoption challenges remain. Issues like data security concerns, complex integration with legacy ERP systems, and shortages of AI-related skills can slow implementation, especially in developing countries. These challenges show that the success of AI tools depends not just on technology but also on organizational readiness, governance quality, and workforce capability. (Shearman 2020; Li 2025) In conclusion, Hazel AI offers clear and measurable benefits for modern FP&A practices, but its impact relies on a balanced approach. Companies that roll out these tools gradually, invest in training, strengthen governance frameworks, and support cultural readiness are more likely to achieve long-term success. Such organizations will be better positioned to compete in an increasingly digital and data-driven financial environment. (OECD 2023; McKinsey 2023)
1. Investment Strategies and Corporate Performance. n.d. 2. Sahoo, D. R., & Jagatp, V. K. (2017). IND AS 109: Its impact on Financial Statements. International Research Journal Of Multidisciplinary Studies, 3(12), 1-5. 3. Deepak Ranjan Sahoo, V. K. J. (2017). DERIVATIVES: A device for Risk Management. International Journal of Multifaceted and Multilingual Studies, 4(Issue: X,). 4. Sahoo, D. R. (2017). Creative Accounting: A Critical Study. International Journal of Multifaceted and Multilingual Studies, 4(IX). 5. Sahoo, D. R. (2018). Corporate Governance: Need of the Hour (Companies Act 2013). International Journal of Management Studies (IJMS), 4(ii). 6. Sahoo, D. R. (2017). Emotional Intelligence: Managing Stress and Anxiety at work place. International Journal of Multifaceted and Multilingual Studies, 4(IX). 7. Deepak Ranjan Sahoo, V. D. S. (2019). A Study of Economic Literacy and sustainable development with context to India. COSMOS Bi- Annual Referred Journal, 10(1), 47-53. 8. Deepak Ranjan Sahoo, V. D. S. (2019). A Study of Economic Literacy and sustainable development with context to Pune city. Scholarly Research Journal for interdisciplinary Studies, 7(41), 382-389. 9. Deepak Ranjan Sahoo, P. D. K. (2017). Emotional Intelligence: Managing Stress and Anxiety at work Place. International Journal Of Multifaceted And Multilingual Studies, 4(10), 88-93. 10. Shende, M. A., & Sahoo, D. R. (2021). Talent Management critical implications and Strategic approach reference to employer and employees prospective.. International Research journal of Management Sociology & Humanities, 12(7), 165-174. 11. Sahoo, D. R., & Deepak, S. V. (2024). Exploring the Nexus of Sustainable Finance: ESG Ethical Framework Practices. In Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility (pp. 253-280 https://doi.org/10.4018/979-8-36). IGI Global. 12. Sahoo, D. R., & Deepak, S. V. (2024). Exploring the Ethical Perspectives of Sustainable Finance: A Research Study. In Advances in Business Strategy and Competitive Advantage (pp. 119-142; DOI: 10.4018/979-8-3693-3771-4.). IGI Global. 13. Sahoo, V. D., & Sahoo, D. R. (2025). Promoting Inclusivity: Corporate Social Responsibility in Game-Based Learning and Professional Employment. In Game-Based Education Approaches to Inclusive Business Management (pp. 101-126). IGI Global Scientific Publishing. 14. Sahoo, V. D., & Sahoo, D. R. (2025). Prospective of Blockchain in Derivative Markets: An Empirical Review. In Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT) (pp. 229-252). IGI Global Scientific Publishing. 15. Kaptan, S., & Jagtap, V. K. (2016). Reaping the benefits of demographic dividend: Some issues in India. Journal of Commerce & Management Thought, 7(3), 576-585. 16. Sahoo, V. D., & Jagtap, K. N. (2021). Investors perception on Dividend Policy and Valuation Models. International Research Journal of Management Sociology & Humanities, 12(11), 255. 17. Sahoo, V. D., & Sahoo, D. R. (2019). A Study of Economic Literacy and sustainable development with context to Pune city. Scholarly Research Journal for interdisciplinary Studies, 7(41), 382-389. 18. Sahoo, V. D., & Sahoo, D. R. (2019). A Study of Economic Literacy and sustainable development with context to India. COSMOS Bi- Annual Referred Journal, 10(1), 47-53. 19. Jagtap, V. K. (2017). A Brief Review of Green Consumerism Literature and its consequences. International Journal Of Multifaceted And Multilingual Studies, 4(12), 1-4. 20. Sahoo, D. R., & Jagatp, V. K. (2017). IND AS 109: Its impact on Financial Statements. International Research Journal Of Multidisciplinary Studies, 3(12), 1-5. 21. Deepak Ranjan Sahoo, V. K. J. (2017). Derivatives: A device for Risk Management. International Journal Of Multifaceted And Multilingual Studies, 4(10), 83-87. 22. Jagtap, V. K. (2017). Strategic Approach to Talent Management. International Journal of Management Studies, 4(2), 2-9. 23. Jagtap, V. K. (2016). Green Economy: A tool for Sustainable Development. State Level Seminar on the Importance of E-Commerce for promoting FMCG Marketing, 1(1), 13-19. 24. Jagtap, V. K. (2016). Digital Wallet: A Conceptual Study. National Level Seminar on Role of Advanced Technology in Quality Enhancement, 1(1), 15-23. 25. Jagtap, V. K. (2016). Impact of misleading Advertisements on consumers and social implication. National Level Seminar on Recent Trends in Information Technology Management and Education, 1(1), 15-21. 26. Jagtap, V. K. (2017). A study of Green Accounting and its Implication in India. State Level Seminar on Socio-Economic innovation and its application for the development of Smart City, 1(1), 35-42. 27. Sahoo, D. R., & Sahoo., V. D. (2024). Exploring the Nexus of Sustainable Finance: ESG Ethical Framework Practices. In Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility, edited by Darcia Ann Marie Roache (pp. 253-280 https://doi.org/10.4018/979-8-36). IGI Global. 28. Sahoo, D. R. S. V. D. (2024). Exploring the Ethical Perspectives of Sustainable Finance: A Research Study. In Advances in Business Strategy and Competitive Advantage (pp. 119-142; DOI: 10.4018/979-8-3693-3771-4.). IGI Global. 29. Sahoo, V. D., & Sahoo, D. R. (2025). Promoting Inclusivity: Corporate Social Responsibility in Game-Based Learning and Professional Employment. In Game-Based Education Approaches to Inclusive Business Management (pp. 101-126). IGI Global Scientific Publishing. 30. Sahoo, D. R., & Sahoo, V. D. (2025). Exploring the Nexus of Sustainable Finance. In Advances in Business Strategy and Competitive Advantage . IGI Global. 31. Sahoo, V. D., & Sahoo, D. R. (2025). Prospective of Blockchain in Derivative Markets: An Empirical Review. In Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT) (pp. 229-252). IGI Global Scientific Publishing. 32. Ujjwal Mishra, C. S. (2014). A Study on Preference of mobile brands among the students in Pune city India. The International Manager, 1(IV), 08. 33. Siddiqui, D. U. M. A. D. I. (2015). Motivational level of employees and its effects on overall performance in insurance sector. International Journal of Innovative Research and Preactices, 3(2), 43-49. 34. Mishra, U. (2013). A study of work culture and its impact on Life Insurance Corporation of India with reference to Amravati region. VIIT research journal Baramati, 2(1), 80-84. 35. Mishra, U. (2013). Impact of performance of commodity market on Equity market. National conference on The Changing trends in Indian capital Market. Sponsored by Indian council of Social Sciences and research, 1(1), 311-317. 36. mishra, D. U. (2014). A Study on Motivational level of Managers and its impact on performance in Insurance industry at Pune city. Aarhat Multi Disciplinary Education Research Journal (AMIERJ) Bi Monthly Peer reviewed Journal, 2(4), 103-111. 37. Mishra, D. U. (2013). The role of human resources and the challenges on globalization. Anveshan IMR’s Management Research journal, 3(1), 34-37. 38. Mishra, U. (2012). Competition and its impact on life insurance corporation of India ltd. Anveshan IMR’s Management Research journal, ISSN -0976-4186, 3(2), 80-82. 39. Mishra, D. U. (2015). A Study on Impact of Interest rates and the performance of stock market. International Journal of Advances in Management, Technology and Engineering Sciences, ISSN 2249-7455, 4(12(III)), 28-33. 40. Ujjwal Mishra, D. I. S. (2015). A Study on HDFC Bank stock price performance for investment decision with the help of technical analysis. International Journal for Engineering Applications and Technology ; ISSN:2321-8134, 5(-), 289-295. 41. Lalkar P, D. T. N. D. R. B. D. M. U. (2013). Accounting for Business Decisions. Success Publications Pune. 42. Gupta M, D. M. U. (2014). Financial Regulatory Framework. Thakur Publishers, Pune. 43. Mishra, D. U. (2016). A study of consumer buying behaviour in organized retail sector: Electronic Industry (Samsung Televisions). International Journal of Engineering and Management Research, 6(2), 401-406. 44. Ujjwal Mishra, M. P. N. (2016). A Study on credit risk management and apprisal process at punjab national bank, Nagpur. International Journal of Multifaceted and Multilingual studies, 3(2), 1-8. 45. Ujjwal Mishra, M. V. P. (2016). Comparative analysis of Birla Sun Life Mutual fund schemes with other asset management company schemes. International Journal of Engineering and Management, 6(1), 241-244. 46. Mishra, U. M., & Borole, M. C. (2017). A Comparative Risk Analysis of Kotak Select Focus Fund (G) Mutual Fund Scheme. Imperial Journal of Interdisciplinary Research, 3(3), 4. 47. Ujjwal Mishra, M. A. K. (2017). A Study of various ways of tax avoidance and tax envasion in agricultural sector and their effect. Journal for research, 3(04), 4-8. 48. Ujjwal Mishra, A. G. (2017). A Study on Impact of Accounts Receivable on Working Capital and Profitability at S. H. Kelkar Ltd Company, Mumbai. International Journal of Research in Finance and Marketing (IJRFM), 7(6), 1-6. 49. Mishra, U. M., & Pawaskar, J. R. (2017). A study of non-performing assets and its impact on banking sector. Journal for Research, 3(1). 50. Mishra, U. M., & Peerapur, V. (2016). Comparative Analysis of Birla Sun Life Mutual Fund Schemes with other Asset Management Company's Schemes. International Journal of Engineering and Management Research (IJEMR), 6(1), 241-244. 51. Ujjwal M. Mishra, M. A. K. R. (2019). Risk Analysis of Selected Mutual Fund Scheme. International Journal of Research and Analytical Reviews (IJRAR), 6(1), 13-19. 52. Ujjwal M. Mishra, M. N. C. (2018). Financial Performance of Selected Automobile Companies. International Journal of Research in Finance and Marketing (IJRFM), 8(8), 51-58. 53. Harshal Raje, D. U. M. M. S. P. (2020). Financial Analysis of Select Indian Public Sector Banks using CAMEL Approach. Tathapi, 19(38), 193-212. 54. Pol, A., Raje, H., & Mishra, U. (2021). Comparative performance analysis of selected mutual fund schemes in tax saver category. PalArch's Journal of Archaeology of Egypt/Egyptology, 18(7), 2325-2337. 55. Mishra, D. U. (n.d.). Inflation and its Impact on India Economy. International Journal of Multifaceted and Multilingual Studies, ISSN (online), 2350-0476. 56. Ujjwal M. Mishra, M. C. B. (2017). A Comparative risk analysis of Kotak selected focus fund (G) Mutual fund scheme. https://www.ijrar.org/papers/IJRAR19UP003.pdf, 3(3), 4. 57. Raje, H., & Mishra, U. (n.d.). COMPARATIVE PERFORMANCE ANALYSIS OF SELECT MUTUAL FUND SCHEMES IN TAX SAVER CATEGORY. 58. Mishra, U., & Raje, H. (2019). Fundamental Analysis of selected banks for Investment Decisions. International Journal of Research in Social Sciences, 9(2). 59. Mishra, D. U. M. (2022). Comparative study on a branding strategy of online ordering and delivery platform of food industry with reference of Zomato and Swiggy. Journal of Positive Psychology, 6(3), 09. 60. Anand Mohan, M. S. D. U. M. (2022). GREEN COMPUTING: IMPROVISED SUSTAINABILITY WITH LONG TERM VIABILITY. Journal of Emerging Technologies and Innovative Research (JETIR) www.jetir.org, 9(9), 6. 61. Ujjwal Mishra, M. A. D. (2023). sentiment analysis Using Machine learning for Forecasting Indian Stock Trend: A Brief Survey. FINANCE: THEORY AND PRACTICE, Vol. 27, No. 6’2023 F I N A N C E T P.F A.R u, 27(6), 136-147. 62. Mishra, U., & Gurav, A. (2017). A Study on Impact of Accounts Receivable on Working Capital and Profitability at SH Kelkar Ltd Company, Mumbai. International Journal of Research in Finance and Marketing, 7(6), 220-225. 63. Dash, A. S., & Mishra, U. (2024). Stock market trend prediction model using deep learning based sentiment analysis of financial data. In 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-7). IEEE. 64. Dash, A. S., & Mishra, U. (2024). Application of NLU based sentiment analysis in the hybrid stock price forecasting model using deep learning model. In 2024 IEEE Pune Section International Conference (PuneCon) (pp. 1-6). IEEE. 65. Mishra, U., & Dash, A. S. (2025). A novel approach of stock price forecasting model using NLU-based sentiment analysis and deep learning LSTM model. In Neural Computing and Applications (pp. 1-30). Springer London. 66. Mishra, U. M., & Dash, A. S. (n.d.). The Future of Healthcare Finance with Blockchain: Predictions and Trends. In Decentralized Healing (pp. 367-392). CRC Press. 67. Mishra, D. (2013). Knowledge Based Context Awareness Network Security For Wireless Networks. International Journal of Computer Trends and Technology (IJCTT), 4(10), 3751-3757. 68. Chiwhane, S., Deepa, M., & Shweta, K. (2017). IOT Based Fuel Monitoring for Future Vehicles. International Journal of Advanced Research in Computer and Communication Engineering, 6, 295-297. 69. Mishra, D. U., & Kadale, N. K. (2017). Mining Association Rules using R Environment. International Journal of Computer Applications, 157(4). 70. Naik, D. T. (n.d.). Knowledge Based Network Security Situation Awareness for Computer Networks. 71. Phansalkar, S., Mishra, D., Chaube, N., & Sonkamble, R. (2023). Towards adoption of green blockchain with emphasis on blockchain type, consensus protocols, data sharding and smart contracts. In 2023 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) (pp. 1-8). IEEE. 72. Chaurasiya, S., Shekhar, S., Shariq, S., Chavan, S., & Mishra, D. (n.d.). ONLINE MARKET SYSTEM BASED ON BIDDING MECHANISM USING AN AI AUCTIONEER. 73. • Deepa U. Mishra, S. A. C. K. A. G. S. S. S. P. W. (2016). Augmented Reality based multipurpose application for 3D interface. International Engineering Research Journal, 2(6), 2211-2213. 74. Deepa Mishra, M. S. M. M. N. K. (2023). A Comparative Study of Face Recognition Models for Smart Attendance. International Journal For Research in Applied Science and Engineering Technology. 75. Deepa Mishra, T. Y. (2017). Secure IOT Based HealthCare System with BSN. International Engineering Research Journal, 2(9), 3208-3011. 76. Mishra, D., Deshpande, S., Anna, M. G., & Tiwari, A. (2024). Exploring the Ethical Dimensions and Societal Consequences of Affective Computing. In Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity (pp. 91-105). Springer Nature Switzerland Cham. 77. Mishra, D., & Phansalkar, S. (2025). Blockchain Security in Focus: A Comprehensive Investigation into Threats, Smart Contract Security, Cross-Chain Bridges, Vulnerabilities Detection Tools & Techniques. In IEEE Access . IEEE. 78. Shekhar, S., Chaurasiya, S., & Mishra, D. (n.d.). Smart Reselling: Leveraging MERN Stack and AI for Intelligent Bidding in E-Commerce.
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...