New OECD research suggests that the critical challenge for smaller businesses is not discovering digital tools but connecting them to repeatable, secure and measurable business processes.
Adoption and maturity are not the same
Small and medium-sized enterprises increasingly use cloud applications, digital payments and AI-enabled services. Yet installing an application is only the first stage of changing an operating model. A business can have several software subscriptions while approvals still pass through email, data is entered twice and managers cannot see a consistent picture of orders, staffing or costs.
The OECD’s April 2026 D4SME survey examined a non-representative sample of more than 2,000 SMEs across 12 OECD countries. It found sustained use of off-the-shelf AI tools, while strategic integration into operations remained uneven. Because of the sample design, the results should not be treated as population-wide adoption rates for all SMEs. [Source: OECD26]
Start with a process, not a product catalogue
Consider a medium-sized distributor receiving customer orders through several channels. A new dashboard may make reporting easier, but the underlying process still fails if customer records, inventory counts and invoice status are inconsistent. The more useful first task is to map how information moves from initial order to fulfilment, payment and after-sales service.
Process mapping reveals where automation may reduce repeated entry, where a person still needs decision authority and where data quality needs attention. The benefits should be tested against a baseline such as processing time, error rates, overdue invoices or time spent preparing routine reports. That approach keeps digitalisation tied to business goals rather than procurement activity.
AI makes governance more important
AI tools can support document drafting, customer support and analysis, but they can also produce incorrect information or expose confidential material when policies and access settings are unclear. A firm should define what data may be entered into outside services, who can approve outputs and how errors will be corrected before deploying a tool in a consequential process.
The OECD’s 2025 D4SME work identified digital security, AI adoption, financial technology and sustainability as important dimensions of SME digitalisation. Its survey covered ten OECD countries and documented differences in digital maturity and practices. This broader context reinforces why businesses should examine skills and security alongside new functionality. [Source: OECD25]
People, maintenance and cyber risk are part of the cost
Total cost extends beyond a licence fee. SMEs need staff time for configuration, training, integrations, maintenance, backups and supplier review. The OECD’s 2026 survey specifically identifies time constraints, maintenance costs and skills gaps as barriers to effective implementation; it also highlights continuing cybersecurity challenges. [Source: OECD26]
A sensible operating model assigns ownership for each business-critical tool, maintains a reliable process for granting and removing access, and records what happens if the service becomes unavailable. These are not measures reserved for large corporations. They are practical controls for a smaller business whose operations may depend on a handful of technology providers.
How to judge progress
Executives should distinguish evidence of use from evidence of improvement. A rising count of AI prompts or software users says little by itself about service quality or profitability. More meaningful measures include fewer manual corrections, faster document turnaround, better data completeness, lower incident frequency and improved responsiveness to customers.
Digital transformation is not a race to adopt every emerging tool. For SMEs, it is a sequence of manageable changes: define the process, establish a baseline, select appropriate technology, train staff, protect data and review outcomes. The companies that govern this sequence well are better placed to turn digital investment into operational capability without assuming that technology alone guarantees growth.
References
1. OECD, Empowering SMEs in the Age of AI: The 2026 OECD D4SME Survey
2. OECD, SME Digitalisation for Competitiveness: The 2025 OECD D4SME Survey