BYSARVARTH MISRA, CO-FOUNDER AND CEO, CONTRACTPODAI
Artificial intelligence (A.I.) is already considered one of the most important, general-purpose technologies of our time. It's fast becoming an engine of business execution -- the very core of organizations' operating models. It's no wonder then why global spending on A.I. technologies reached almost $118 billion in 2022, and is expected to surpass $300 billion in 2026.
But whereas traditional A.I. -- governed by rules and logic -- makes decisions based on predetermined outcomes, what's called generative A.I. -- going a quantum leap further -- creates and adapts information on the basis of what it has seen previously, all on its own. So, as generative A.I. is revolutionizing the way businesses operate, it's also having an increasing impact on operational excellence. It's something that founders and business leaders wholly embrace in their pursuit of the best possible outcomes in operations. Think greater efficiency and continuous improvement, leading to a boost in productivity that results in enhanced and more consistent customer satisfaction.
Here are three specific ways that generative A.I. can help you drive that operational excellence.
1. Increasing Productivity
First and foremost, with generative A.I., there's no more reinvention of the wheel. Such technology leads to optimization, standardization, and consistency across departments, companies, and entire industries. For instance, by crunching vast amounts of sales, legal, and other business data -- quickly and accurately -- the A.I. can offer unique, real-time insights on business processes, such as pinpointing bottlenecks and other workplace inefficiencies. It can then help streamline operations by automating sales and legal workflows, thereby improving productivity and reducing business costs, and freeing up employees to carry out higher-level, strategic tasks -- something that can further increase operational efficiency. Also, by gathering business data, the A.I. can help identify contract and customer trends and industry patterns and adapt as needed through continuous improvement.
2. Accelerating Time to Value
Let's face it, in a rapidly evolving business landscape, companies need to reduce the time it takes to see the initial benefits of a given technology investment or initiative. And one of the best ways to accelerate this time to value is through generative A.I. With such power in their proverbial toolbox, companies can become more focused on business outcomes by setting clearer objectives for themselves, more accurately measuring their progress along the way, making finer-tuned adjustments if necessary -- and more efficiently and effectively realizing their end goals. What's more, they can become more agile in their business practices by quickly adapting to changing customer needs and shifting market conditions, as noted above.
3. Speeding Up A.I. Adoption
As an ancillary benefit, increased productivity and accelerated time to value lead to faster A.I. adoption altogether. Simply stated, when business users clearly see how A.I. can support them, they're more likely to embrace the technology and trust its recommendations instead of finding it too complex and, therefore, rather difficult to use. Generative A.I. tools can even explain to humans how to increase their knowledge, expertise, and training to effectuate adoption and usage (although, as we've learned, having human oversight is a key requirement for these generative A.I. tools). That's great news for small and medium-size companies that may lack the resources to flesh out traditional A.I. internally. That also means that companies can deploy and expand their A.I. solutions quickly.
Business leaders reimagining their business processes must figure out their desired course of digital transformation: how they will operate day in and day out, and how they will compete with other companies -- with varying degrees of help from artificial intelligence. Once these questions are answered, organizations will be well on their way to improved operational excellence.