TL;DR

The most impactful AI deployments are often the least glamorous. From optimizing supply chains to automating invoice processing, these AI solutions quietly save companies millions by focusing on efficiency and incremental improvements rather than flashy use cases. While the media obsesses over AI in autonomous vehicles and chatbots, it’s the unsexy applications that deliver consistent, measurable ROI. Companies that ignore these “boring” AI solutions risk falling behind in operational efficiency and cost savings.

The setup

Artificial intelligence has captured the public imagination with its potential to revolutionize industries and transform everyday life. From self-driving cars to AI-generated art, the hype around AI’s most visible applications often overshadows its more mundane uses. However, it’s these less flashy deployments that are quietly transforming businesses by delivering significant cost savings and efficiency gains.

Conventional wisdom suggests that AI’s value lies in its ability to automate complex tasks, create new products, and deliver personalized experiences. While these applications are undoubtedly valuable, they often require substantial investment and come with significant risks. In contrast, the “boring” AI deployments—such as predictive maintenance, inventory optimization, and document processing—are typically easier to implement, require less upfront investment, and offer more predictable returns.

This focus on the unsexy side of AI is particularly relevant now as companies face increasing pressure to cut costs and improve efficiency in a challenging economic environment. According to a 2022 report by McKinsey, companies that effectively leverage AI for operational improvements can reduce costs by up to 20% and improve productivity by 15%. Yet, many organizations remain fixated on the more glamorous applications of AI, overlooking the potential of these less exciting but highly effective solutions.

The argument

1. Predictable ROI and Lower Risk

One of the key advantages of “boring” AI deployments is their predictable return on investment (ROI) and lower risk compared to more ambitious AI projects. For example, consider the case of predictive maintenance in manufacturing. By analyzing sensor data from machinery, AI algorithms can predict when equipment is likely to fail and schedule maintenance accordingly. This approach reduces unplanned downtime, extends the lifespan of equipment, and lowers maintenance costs.

A 2021 study by Deloitte found that predictive maintenance can reduce maintenance costs by 20-30% and reduce downtime by 50%. Companies like General Electric have reported saving hundreds of millions of dollars through predictive maintenance initiatives. Unlike AI projects that aim to create entirely new products or services, predictive maintenance offers a clear, quantifiable benefit that is relatively easy to measure and achieve.

2. Efficiency Gains Through Automation

Another area where “boring” AI excels is in automating routine, time-consuming tasks. Take invoice processing, for example. Traditionally, processing invoices involves manual data entry, verification, and approval, which is both labor-intensive and prone to errors. AI-powered invoice processing systems can automate these tasks, reducing the time and cost associated with handling invoices.

A 2023 report by Gartner estimated that AI-driven automation in finance departments could save companies up to 25% on operational costs. Companies like Microsoft have implemented AI to automate invoice processing, resulting in faster turnaround times and reduced error rates. By automating these routine tasks, companies can reallocate human resources to more strategic activities, further enhancing overall efficiency.

3. Data-Driven Decision Making

Boring AI deployments also empower companies to make better, data-driven decisions. For instance, AI can analyze vast amounts of data to optimize inventory levels, ensuring that companies maintain the right amount of stock without overstocking or understocking. This is particularly important in industries like retail and e-commerce, where inventory management is a critical component of operational efficiency.

Walmart, for example, uses AI to optimize its supply chain and inventory management. By analyzing sales data, weather patterns, and other factors, Walmart’s AI systems can predict demand and adjust inventory levels accordingly. This has led to significant reductions in waste and improved customer satisfaction. According to a 2022 report by the Harvard Business Review, companies that leverage AI for inventory management can reduce inventory costs by up to 35%.

4. Enhanced Customer Experience

While not as glamorous as AI-driven personalization, the “boring” side of AI can also enhance the customer experience. For instance, AI-powered chatbots can handle routine customer inquiries, freeing up human agents to focus on more complex issues. This not only reduces operational costs but also improves response times and customer satisfaction.

A 2023 survey by Accenture found that 68% of consumers prefer interacting with AI-powered chatbots for simple inquiries because they provide quick, accurate responses. Companies like Amazon and American Express have successfully implemented AI chatbots to handle customer service tasks, resulting in higher customer satisfaction scores and reduced operational costs.

What the conventional view gets wrong

The conventional view often overlooks the value of “boring” AI deployments, focusing instead on the more sensational applications of AI. This perspective is flawed for several reasons:

1. Overemphasis on Innovation

The media and tech industry tend to prioritize innovation and novelty over incremental improvements. While groundbreaking AI applications like autonomous vehicles and AI-generated content capture headlines, they often require significant investment and come with substantial risks. In contrast, the “boring” AI solutions offer a more pragmatic approach to AI adoption, focusing on incremental improvements that deliver consistent, measurable benefits.

2. Misunderstanding of ROI

Many companies underestimate the ROI potential of “boring” AI deployments. They assume that the most valuable AI applications are those that create entirely new products or services, when in fact, the greatest value often lies in improving existing processes and operations. By focusing on efficiency and cost savings, “boring” AI solutions can deliver substantial financial benefits that are often more reliable and easier to achieve than those promised by more ambitious AI projects.

3. Lack of Awareness

There is a general lack of awareness about the potential of “boring” AI deployments. Many companies are simply unaware of the AI solutions available to them or the benefits they can provide. This is partly due to the hype surrounding more glamorous AI applications, which can overshadow the more mundane but highly effective solutions.

The implications

For Builders

For companies developing AI solutions, the focus should be on creating products that deliver tangible, measurable benefits. This means prioritizing efficiency, reliability, and ease of implementation. Builders should also consider the needs of their customers and the specific challenges they face, rather than chasing the latest AI trends.

For Users

Companies that adopt AI should look beyond the hype and consider the practical applications that can improve their operations. This means evaluating AI solutions based on their ability to deliver ROI, enhance efficiency, and solve real-world problems. Users should also be prepared to invest in the necessary infrastructure and training to ensure successful implementation.

For Regulators

Regulators need to recognize the importance of “boring” AI deployments and the role they play in driving economic growth and efficiency. This means creating policies that encourage the adoption of AI while also addressing the potential risks and challenges associated with its use. Regulators should also work to raise awareness about the benefits of AI and provide guidance to companies on how to implement AI solutions effectively.

For the Industry

The AI industry as a whole needs to shift its focus away from the sensational and towards the practical. This means highlighting the success stories of “boring” AI deployments and the benefits they provide. It also means educating companies about the potential of AI and the various applications available to them.

What I’m watching next

1. AI-Driven Supply Chain Optimization

As companies continue to grapple with supply chain disruptions, AI-driven supply chain optimization is likely to become increasingly important. By leveraging AI to analyze data and predict demand, companies can improve their supply chain operations, reduce costs, and enhance efficiency.

2. AI in Healthcare

The healthcare industry is poised to benefit significantly from “boring” AI deployments. From automating administrative tasks to improving diagnostic accuracy, AI has the potential to transform healthcare delivery. Expect to see more AI applications in areas like medical imaging, patient record management, and drug discovery.

3. AI-Powered Cybersecurity

As cyber threats become more sophisticated, AI-powered cybersecurity solutions are likely to gain traction. AI can analyze vast amounts of data to identify potential threats and respond to them in real-time. This will be particularly important as companies face increasing pressure to protect their data and systems from cyber attacks.

The bottom line

The most impactful AI deployments are often the least glamorous. While the media and tech industry may focus on the more sensational applications of AI, it’s the “boring” solutions that are quietly transforming businesses by delivering significant cost savings and efficiency gains. Companies that recognize the value of these unsexy AI applications and invest in their implementation are likely to see substantial benefits in the long run. The key is to focus on practical, measurable improvements that address real-world challenges and deliver consistent, reliable ROI.

In a world where AI hype often overshadows reality, it’s time to shift the focus towards the “boring” but highly effective AI solutions that are driving real change. By doing so, we can unlock the full potential of AI and create a more efficient, productive, and sustainable future.