ECI Software Solutions, a leader in AI-powered cloud-based business management software and services, announced the AI Readiness Report: Data, Trends, and Real-World Challenges. New research shows small business leaders are bullish on AI, but many aren’t yet ready to turn it into tangible results. Based on a survey of more than 550 small business leaders in the United States, Canada, and Australia, this report details where AI is being applied first and what’s hindering progress.
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As labor shortages and operational complexity increase across manufacturing, distribution, and field service, SMBs are looking to AI to rescue them, but gaps in data readiness and internal expertise are slowing adoption and impact.
Key findings from the survey include:
- While optimism is high, execution has been uneven. More than 70% of small business leaders have a positive view of AI, but adoption and maturity vary.
- Demand is focused on core operations. Among small and medium-sized businesses using or planning to implement AI, 60 percent cite data analysis and reporting as a top priority, followed by content creation and marketing at an average of 49 percent, customer service at 42 percent, and inventory management at about 34 percent.
- results are not guaranteed: Nearly 40% say they have yet to see tangible results from their AI efforts.
- The preparedness gap is a bottleneck. The biggest barriers to adoption are in-house expertise, data readiness, and a lack of clarity about where to start.
- Pressure is accelerating schedules: Manufacturing, field service, and distribution leaders reported increased urgency due to workforce shortages and ongoing operational challenges.
“SMBs are no longer asking whether AI matters, but rather how to get results without adding risk,” said Brian Winters, chief product officer at ECI Software Solutions. “What this study reveals is that success depends more on preparation than ambition. AI must fit into existing workflows, leverage data teams already have, and prove value quickly to gain trust.”
This report provides a data-driven analysis of how small and medium-sized businesses are implementing AI, where they’re seeing the most immediate value, and what’s holding them back from measurable results. It also clarifies the difference between automation and true AI, and provides practical guidance on starting targeted use cases, choosing solutions to integrate with existing systems, and implementing AI responsibly.
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