The landscape of enterprise operations is undergoing a significant transformation, with automation and generative artificial intelligence (GenAI) emerging as the frontrunners in business innovation. A recent study commissioned by Digitate, a provider of SaaS solutions for IT and business operations, and conducted by Sapio Research, has brought to light the increasing inclination of IT decision-makers towards a more automated future.
The study titled ‘AI and Automation: Laying the Foundation for the Autonomous Enterprise,’ conducted in partnership with Sapio Research, surveyed 601 IT leaders from large organizations across the United States. It revealed a staggering 90% of respondents are gearing up to integrate more AI-driven automation within the next year.
In an era where digital agility is paramount, over a quarter of the companies surveyed are taking bold steps, with 26% planning a shift towards operations that rely heavily on machine-operated tasks with minimal human input. This push towards autonomous systems would be poised to reshape the operational fabric of these enterprises over the next half-decade. However, the human element would remain irreplaceable, with 30% of organizations aiming to balance automation and human intervention.
Avi Bhagtani, the Chief Marketing Officer of Digitate, highlighted the criticality of AI-powered automation, stating, “IT leaders have long known that AI-powered automation is essential for survival in a digitally driven economy. The research showed most companies realize this and are taking urgent action to increase investments in this area.” Mr. Bhagtani elaborates that the focus has now shifted to leveraging AI and automation not just for operational efficiency, but also to enhance key business performance indicators, employee productivity, and customer satisfaction.
Generative AI, Workflow Automation, AIOps
The study delves into the strategies IT decision-makers are employing to weave automation into the fabric of their organizational processes. The move towards automation would predominantly be driven by the growing complexity in IT ecosystems, especially with the widespread migration to and adoption of cloud technologies. Forty-four percent of those surveyed cited the burgeoning IT complexity as their primary internal challenge, a situation further complicated by the adoption of multi-vendor cloud strategies.
The imperative to automate is underscored by the notion that organizations not embracing this change risk obsolescence. The report indicates that 90% of automation efforts are first directed at IT departments, with finance and customer support departments close behind, each at 89%. Organizations are exploring various automation avenues: 74% have dabbled with generative AI, while others are investigating workflow automation and AIOps.
This rapid adoption of automation would raise critical questions about the workforce’s future. One in four IT leaders expressed concern that automation could create a sense of job insecurity and redundancy among employees. Yet, paradoxically, 60% acknowledged that automation has led to improved employee satisfaction and productivity within their organizations.
Cybersecurity would remain a looming concern, with over half of the decision-makers viewing it as the most significant external risk, even overshadowing economic recession fears. Despite this, only a minority have currently deployed automation to combat cybersecurity risks, though nearly half plan to do so in the imminent future.
As businesses navigate the complexities of digital transformation, it is evident that the drive towards autonomous operations is accelerating, stated Digitate. Companies that harness the power of AI and automation would stand to gain a competitive edge, ensuring not only operational efficiency but also fortifying their defenses against the digital threats of tomorrow. The report from Digitate would underscore the urgency with which enterprises are recalibrating their strategies, signaling a clear shift in the business landscape towards an autonomously driven future.