Accelerating Adoption: Building the Business Case for AI Integration in SMBs
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Description
While AI/ML technologies promise transformative potential, small and medium-sized businesses
(SMBs) often struggle to secure internal buy-in due to skepticism about the tangible benefits. This
paper explores strategies for crafting a compelling business case, emphasizing ROI quantification,
cost reduction, and revenue expansion. It further highlights real-world examples and the
importance of aligning AI initiatives with business objectives.
Overcoming Skepticism: Why the Business Case Matters
SMBs often operate with limited resources, making it imperative to justify every investment.
Leadership teams may perceive AI as an abstract concept, disconnected from immediate business
needs (Westerman et al., 2014). Without a clear business case, adoption efforts often stall, leaving
SMBs at risk of falling behind more tech-savvy competitors (Pyrrhic Press, 2024).
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Accelerating Adoption Building the Business Case for AI Integration in SMBs 2.18.25.pdf
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References
- Anand, R. (2025). Internal AI adoption and workforce transformation at Strive Corporation. Internal Research Report. Brown, T., Mann, B., Ryder, N., et al. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877-1901. Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company. OpenAI. (2023). GPT-4 technical report. Retrieved from https://openai.com/research/gpt-4 Pyrrhic Press. (2024). Business leadership case studies: Real-world applications of AI/ML in small enterprises. Pyrrhic Press Publishing. Smith, J. (2023). Unlocking the AI frontier for small businesses. Journal of Business Technology, 45(2), 34-48. Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading digital: Turning technology into business transformation. Harvard Business Review Press.