AI adoption is at an all-time high, yet many businesses struggle to translate innovation into measurable value. Why does this gap exist, and how can organizations turn AI from a buzzword into a true business driver? 

In this POV article, Kartik Shah, VP, Sales & Operations, breaks down the myths, challenges, and our strategies behind AI-driven ROI—covering everything from aligning AI with business goals to ensuring data readiness and measuring real impact. 

Q: AI adoption is skyrocketing, yet many businesses struggle to see tangible ROI. Why does this gap exist? 

➧ AI is often seen as a silver bullet, but its success depends on strategy, not just technology. Many organizations invest in AI without aligning it with business goals, data readiness, or workforce enablement. Without clear KPIs and integration into workflows, AI remains an isolated experiment rather than a driver of real business value. 

Q: What are the common misconceptions about AI-driven ROI, and how can businesses overcome them? 

➧ One major misconception is that AI guarantees instant results. In reality, AI-driven ROI comes from continuous refinement—optimizing data quality, integrating AI into decision-making, and ensuring human-AI collaboration. Businesses should move beyond the hype and focus on scalable, outcome-driven AI models tailored to their unique needs. 

Q: How does Noventiq help businesses evaluate their current data infrastructure for AI-driven transformation? 

➧ AI’s potential hinges on the quality of data it runs on. Noventiq helps businesses assess whether their data is clean, connected, and accessible—eliminating silos and ensuring governance, scalability, and security. Our expertise in data modernization and AI-readiness ensures your infrastructure is optimized, so AI delivers real, measurable impact.