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Agentic AI for SMEs: Understanding benefits, risks, and cyber/regulatory responsibilities

By Koren Wines, Managing Director, Xero | Friday, September 5, 2025, 3:08 PM Asia/Singapore

Agentic AI for SMEs: Understanding benefits, risks, and cyber/regulatory responsibilities

While agentic AI promises advanced automation, small business should be cognizant of emerging, unique cyber risks and responsibilities requiring responsible adoption.

Being a small business owner has never been easy — and today, it is more demanding than ever. Across Asia, small- and medium- sized enterprises (SMEs) are navigating a minefield of rising costs, inflation, talent shortages, supply chain disruptions and ever-rising customer expectations.

In my conversations with SME owners across the region, one question consistently comes up: “In increasingly competitive and challenging conditions, how do I set my business up to not just survive, but sustainably grow and thrive?”

My answer: The shift is already underway — the move toward smarter, AI-powered operations.

Use cases for SME AI
Digital tools are no longer optional: they are critical to staying competitive. For small businesses, it is becoming a practical, everyday advantage for streamlining operations, improving decision-making, and freeing up time and headspace to focus on growth.

And at the heart of this transformation is not just AI, but autonomous AI agents that can automate simple tasks. We are entering the age of agentic AI: intelligent systems that act on behalf of humans to manage complex tasks from start to finish.

Take accounting, for example. Traditional AI can flag anomalies such as duplicate invoices. AI agents, on the other hand, take it further:

  • checking purchase orders
  • reviewing payment history
  • launching internal follow-ups

All the above, automatically, without human intervention. This kind of autonomous capability helps small businesses respond faster, make smarter decisions, and minimize errors.

For small teams, AI agents can become a true force multiplier.

Closing the gap between intention and impact

SMES frequently point to a lack of knowledge, training, or confidence in using AI tools. Some are unsure where to start. Others are concerned about their teams not having the right skills to make the most of new technologies.

This is where the ecosystem needs to step in. To that end, program such as Australia’s AI Adopt Program; Malaysia’s National AI Action Plan 2030; and Singapore’s S$150m Enterprise Compute Initiative, are helping SMEs to bridge the gap by demystifying AI and providing accessible, practical support for SMEs to understand what AI can do and how to get started.

AI firms are working with partners to build tailored training program that equip small business teams to confidently use AI tools, not just at a surface level, but in ways that drive real results. That includes understanding data, spotting inaccuracies, and translating insights into meaningful business action.

What AI is and is not
AI is not just an operational tool: it sets the foundation for long-term resilience. From customer service to supply chain management, AI gives businesses the agility to respond to change, without burning out teams or breaking budgets. It is also:

  • a strategic partner in how SMES run and grow. When embedded into everyday systems and supported by skilled teams, AI agents can help SMEs stay agile, informed and customer-focused, even in uncertain times.
  • unlocking new possibilities for automation, accuracy and decision-making. For businesses operating on tight margins and tighter timeframes, autonomous AI can make a world of difference. With the right tools, training, and mindset, even the smallest enterprise can take bold steps forward—powered by AI.

Editor’s note: Fora deeper dive into the heavy responsibilities of adopting Responsible AI, the following materials can help SMEs weigh their budget options:

  • AI and Data Privacy: How to stay compliant and protect your business!
  • How does GDPR apply to agentic AI systems? A complete compliance guide
  • Understanding the EU AI Act: practical implications for SMEs in Europe
  • Responsible AI starts with the artifact: Challenging the concept of responsible AI (Taylor & Francis)
  • Responsible AI: Concepts, critical perspectives and an Information Systems research agenda
  • The next “Next Big Thing”: Agentic AI’s opportunities and risks (Berkeley SCET)
  • A non-profit academic perspective calling for critical resistance to unchecked AI adoption
  • A review of Trust, Risk, and Security Management in LLM-based agentic multi-agent systems

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