Authors :
Sonia Oghoghorie
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/yjkc5crh
DOI :
https://doi.org/10.38124/ijisrt/25jun1835
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
In Lagos, Nigeria, small and medium-sized enterprises (SMEs) form a vital part of the economic fabric, playing
a central role in job creation, entrepreneurial innovation, and contributions to both the local economy and national
output.
This paper introduces and evaluates a novel self-service FP&A model powered by advanced natural language
processing (NLP) technology, specifically designed to address the unique needs and constraints of Lagos SMEs. The
proposed system allows business owners to interact with their financial data using everyday language, removing the
barriers posed by traditional, jargon-heavy financial software. Drawing on over 12 years of FP&A expertise, the study
employs a rigorous mixed-methods research approach, combining quantitative surveys, qualitative interviews, and
prototype simulations to holistically assess the landscape of FP&A adoption among Lagos SMEs.
Key findings from simulation exercises involving 40 diverse businesses demonstrate substantial improvements in
critical performance metrics following the implementation of the conversational, AI-driven financial tool. Notably, SMEs
reported increased net profit margins, enhanced cash liquidity, and greater confidence in their financial decision-making
processes. These results underscore the transformative potential of decentralizing FP&A through intuitive, low-cost digital
solutions. The research further explores the technical architecture of the self-service model, identifies practical and
cultural barriers to widespread adoption, and discusses the broader policy implications for digital financial inclusion.
By offering a scalable and context-sensitive framework, this paper provides actionable insights for stakeholders—
including SME owners, policymakers, technology developers, and financial institutions—seeking to promote sustainable
business growth and resilience in emerging markets. The study’s contributions extend to both academic scholarship and
the practical advancement of accessible fintech innovations, highlighting the importance of democratizing financial
intelligence for underserved business communities in Lagos and similar contexts worldwide.
References :
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In Lagos, Nigeria, small and medium-sized enterprises (SMEs) form a vital part of the economic fabric, playing
a central role in job creation, entrepreneurial innovation, and contributions to both the local economy and national
output.
This paper introduces and evaluates a novel self-service FP&A model powered by advanced natural language
processing (NLP) technology, specifically designed to address the unique needs and constraints of Lagos SMEs. The
proposed system allows business owners to interact with their financial data using everyday language, removing the
barriers posed by traditional, jargon-heavy financial software. Drawing on over 12 years of FP&A expertise, the study
employs a rigorous mixed-methods research approach, combining quantitative surveys, qualitative interviews, and
prototype simulations to holistically assess the landscape of FP&A adoption among Lagos SMEs.
Key findings from simulation exercises involving 40 diverse businesses demonstrate substantial improvements in
critical performance metrics following the implementation of the conversational, AI-driven financial tool. Notably, SMEs
reported increased net profit margins, enhanced cash liquidity, and greater confidence in their financial decision-making
processes. These results underscore the transformative potential of decentralizing FP&A through intuitive, low-cost digital
solutions. The research further explores the technical architecture of the self-service model, identifies practical and
cultural barriers to widespread adoption, and discusses the broader policy implications for digital financial inclusion.
By offering a scalable and context-sensitive framework, this paper provides actionable insights for stakeholders—
including SME owners, policymakers, technology developers, and financial institutions—seeking to promote sustainable
business growth and resilience in emerging markets. The study’s contributions extend to both academic scholarship and
the practical advancement of accessible fintech innovations, highlighting the importance of democratizing financial
intelligence for underserved business communities in Lagos and similar contexts worldwide.