The hype around AI is over, and we’re now in an era where tangible outcomes matter more than the buzz. As recently highlighted in a Financial Times article on the ServiceNow partnership, the C-suite’s focus has shifted from speculative discussions to implementing AI that drives measurable results in productivity and customer experience.
This shift is particularly relevant for mid-sized enterprises. Unlike large corporations with extensive resources for bespoke AI solutions, mid-sized businesses need practical, embedded AI applications that can add immediate value without extensive customisation or heavy investment. So how can mid-sized enterprises make that transition from hype to reality in their AI adoption journey?
For most mid-sized enterprises, embedded AI—AI integrated directly into existing platforms—offers a low-risk, high-reward entry point. Service platforms like ServiceNow provide built-in AI capabilities that allow organisations to automate routine tasks, manage incidents more efficiently, and boost service delivery. By leveraging these ready-made solutions, companies can start realising value from AI almost immediately, without needing a specialist data science team or a significant budget.
Mid-market businesses often make the mistake of trying to implement AI solutions that are overly complex, mimicking larger enterprise projects. Instead, it’s far more effective to focus on AI that enhances existing processes. Whether it’s optimising customer service workflows or streamlining back-office operations, AI should fit smoothly into your current environment. Using tools that improve efficiency will yield faster results, helping build confidence and momentum for further AI investment.
As emphasised in the FT article, balancing immediate productivity improvements with a forward-looking view is crucial. Today, mid-sized enterprises can focus on practical AI to reduce costs and speed up repetitive tasks. Looking ahead, they should start preparing the foundations for strategic use of AI—such as better data management or enhancing customer experiences—to be ready for more transformative AI use cases down the line.
Adopting AI isn’t just about plugging in new technology; it’s about rethinking how work is done. The C-suite must foster an AI-ready culture—one that is willing to embrace automation and data-driven decision-making. Start with leadership buy-in, then cascade awareness and training initiatives across teams to ensure that AI is seen as an enabler rather than a threat. Building this culture is as important as the technology itself, allowing AI to be adopted effectively and sustainably.
Unlike traditional IT projects, AI adoption should be seen as a continuous journey. Setting measurable goals right from the beginning and iterating on the implementation are key to success. Identifying which areas of your business see the most significant benefit from AI, and then expanding from there, can drive substantial growth. Small, incremental improvements will accumulate into big results over time, and this strategy reduces the risks associated with broad, sweeping changes.
The journey from AI hype to reality doesn’t require a magic formula or substantial resources—it needs a focused, practical approach that aligns technology with business needs. By leveraging embedded AI, maintaining simplicity, and fostering an AI-positive culture, mid-sized enterprises can take meaningful steps forward in their AI journey, reaping the benefits of improved efficiency and customer satisfaction without overreaching.Read the original article on AI adoption by ServiceNow and the Financial Times here
