How do I start with AI adoption?

Starting with AI adoption requires a strategic approach that balances ambition with pragmatism. For SMEs, the key is to begin with clearly defined business problems rather than implementing AI for its own sake.

The first step is to assess your current state using tools like an AI Readiness Assessment. This helps identify gaps in data infrastructure, technical capabilities, and organizational readiness. Next, identify specific use cases where AI can deliver measurable value—focus on problems that are repetitive, data-rich, and have clear success metrics.

Start small with pilot projects that can demonstrate quick wins. Common starting points include chatbots for customer service, predictive analytics for sales forecasting, or automated document processing. These projects build confidence and expertise while delivering tangible business value. Choose solutions that integrate with your existing systems and don't require extensive custom development.

Build internal capability through training and hiring. While you don't need a team of data scientists, having staff who understand AI concepts and can work with vendors is crucial. Consider partnering with AI consultants or solution providers who specialize in your industry. Establish governance frameworks for data privacy, security, and ethical AI use from the beginning.

Finally, adopt an iterative approach. Implement, measure, learn, and scale. Track metrics like time saved, cost reduction, revenue increase, or customer satisfaction improvement. Use these results to justify further investment and expand AI adoption across the organization.