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How SMBs turn AI into lasting business value

Learn how SMBs can transform AI experiments into measurable growth through smarter, integrated workflows.

How SMBs turn AI into lasting business value

Small businesses have quickly embraced artificial intelligence, with 76% currently using it and 93% reporting positive impacts. However, only 14% have fully integrated AI into their core operations. The challenge now is to transform isolated AI use into consistent business value. To achieve this, small businesses should focus on identifying the problems that AI can solve and measuring its impact on key business outcomes, such as time saved, errors reduced, revenue protected, customers retained, or employees freed up for higher-value work.

Instead of merely deploying AI in everyday tasks, businesses should aim to redesign workflows and invent new services, business models, and revenue streams. This outcome-first mindset is crucial, as the goal should be to ask what the business needs to achieve, then design the workflow and technology around that result. AI readiness begins with the work itself, focusing on the specific bottlenecks that are slowing the business down.

It is more beneficial to emphasize workflow redesign rather than individual productivity gains, as the most useful AI projects are often tied to daily work processes. Over time, AI agents working across connected workflows, with human oversight, can become the norm. Employee training is essential to ensure responsible AI usage, addressing concerns related to data privacy, security, technical expertise, and tool selection.

By making AI a capacity builder, small businesses can work more efficiently, confidently, and effectively, ultimately driving growth and improvement in their operations.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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