Agentic business: the new growth engine for SMEs | Daily Reports Online
Every small business is looking for an edge.
For some, that means protecting margins. For others, it means finding new customers, sourcing better products, entering new markets or simply running the business with less friction.
More often, it means trying to do all of these things at once. Knowing which opportunity deserves attention first and having the time and resources to act on it has always been a challenge.
President of Alibaba.com.
For decades, this has forced smaller businesses into a trade-off: choose one priority and hope this is the right decision or waste all your time and money and miss an opportunity elsewhere.
The era of agentic business changes this. According to the British Chambers of Commerce (BCC), more than half of UK SMEs (54%) are now actively using AI – an increase from 35% in 2025.
In recent times, the technology has moved from passive assistance – writing, summarizing and answering questions – to autonomous execution.
AI is therefore no longer limited to responding only when prompted but can operate continuously in the background.
A wide spectrum of business functions
In this way, AI agents can now handle a wide spectrum of business functions end-to-end. This includes building digital storefronts, writing product listings, offering dynamic pricing, providing customer service, generating market research, and supporting with marketing.
The real value lies not in overnight task automation but better decision-making with less friction and fewer blind spots. In fact, according to the same BCC research, SMEs using AI report strong net productivity improvement expectations (+71%), while those planning to adopt or unsure show far lower optimism. Importantly, agentic AI is levelling the playing field with larger companies.
The latter have historically had an advantage because they can afford dedicated teams for each business function. SMEs, on the other hand, have had to rely on lean teams, founder instinct and whatever time was left after the urgent work was done. Within agentic businesses, there is immediate access to capabilities which once required high headcount or expensive IT systems.
Examples include testing a new product category, launching into a new market or trialing a marketing campaign with far less operational risk than before. Rather than spending weeks gathering information manually or coordinating across multiple systems, AI agents can help businesses identify opportunities and execute tasks in real time.
Crucial for smaller businesses
In addition, agentic AI has been crucial for smaller businesses looking to grow internationally. It can help them localize product listings and marketing content for different markets, coordinate supplier communications across time zones, and analyze regional demand trends in real time. This reduces much of the operational complexity traditionally associated with cross-border trade and gives SMEs greater confidence to explore new markets that may previously have felt out of reach.
So, the SME conversation around AI needs to move beyond productivity. Saving time matters, but it is not the full story. The bigger opportunity lies in performance: simplifying complexity, reducing avoidable risk, helping businesses act on information earlier.
For an SME, one missed supplier issue, one misread market signal or one poorly timed product decision can have an outsized impact. Becoming an agentic business helps reduce that exposure with complex information easier to monitor, compare and act on. However, it does not remove the need for human judgement. In fact, it raises the value of that judgement by giving business owners clearer options and more time to focus on strategy.
The most successful uses of AI will not be the most futuristic but the most useful, offering practical, transparent information, built around real commercial pain points. The first wave of AI helped SMEs create faster, but the next wave will help them operate smarter.
For SMEs, the question is no longer whether AI can help. It is how quickly they can put AI agents to work on the decisions that determine how they compete, grow and scale.
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