Businesses appear to be facing growing pressure to explore automation across customer service, lead qualification, scheduling, and core operations as AI capabilities become more widely accessible. The appeal is understandable. Repetitive tasks can be handled more quickly, information can be processed at scale, and teams may gain more time for higher-value responsibilities.
Yet the wider conversation around AI suggests that automation alone may not be the right objective. According to the Boston Consulting Group’s 2026 report, 50% to 55% of U.S. jobs could be reshaped by AI over the next two to three years. The report also estimates that 10% to 15% of jobs could potentially be eliminated over a longer period. These figures point to a business environment in which technology decisions increasingly involve questions of work design, skills, accountability, and human judgment, alongside efficiency.
Matthew J. Fitzpatrick, owner of Fitz Enterprises, a technology advisory firm specializing in IT, cybersecurity, compliance, and AI strategy, believes this distinction deserves closer attention. His perspective suggests that businesses may benefit more from identifying where automation delivers meaningful value and where human involvement remains essential.
That philosophy starts with two areas Fitzpatrick believes require particular consideration. The first is extending automation into activities that rely heavily on trust, relationships, empathy, or nuanced decision-making. Customer interactions, executive judgment, and complex problem-solving often involve dimensions that are difficult to translate into a workflow. AI can support preparation, information gathering, and routine tasks while allowing people to retain responsibility for consequential decisions.
The second area concerns the policies and safeguards that govern AI use. As employees experiment with tools through personal accounts and mobile devices, proprietary or confidential information can enter systems without appropriate organizational controls. For Fitzpatrick, AI governance is therefore an essential part of the technology conversation. Security policies, access restrictions, and responsible-use procedures can create a framework for experimentation while helping organizations understand where sensitive information is being shared.
The quality of the underlying process is equally important. “Poor inputs lead to poor results, and automation just scales the problem,” Fitzpatrick explains. “If a workflow is inefficient, automating it usually just lets that inefficiency run wild at top speed. You really need to step back and evaluate your processes before jumping into buying tools.”
His approach has also been shaped by personal experience. A motorcycle accident and the recovery that followed became part of a broader lesson about transformation, consistency, and progress. The experience reinforced the importance of taking practical steps consistently rather than waiting for the perfect moment. “A phrase shared with me in a business setting, ‘Done is better than perfect,’ became another useful reminder that excessive pursuit of perfection can delay meaningful progress,” Fitzpatrick shares.
He applies that thinking to technology through a straightforward sequence: understand the desired business outcome, review the workflow, identify the constraints, and then determine where technology can make a difference. The central question becomes how automation can improve the business while preserving the human contribution that makes a difference.
A practical decision-making model can develop from this approach. Highly repetitive, high-volume activities may be suitable for AI when the risks and consequences can be properly managed. A hybrid approach may be more appropriate when AI organizes information or speeds up analysis while people retain control over decisions and execution. High-trust interactions may continue to require substantial human involvement, particularly when empathy, context, and relationship-building are important.
This strategy-led philosophy can also shape how organizations implement AI. Fitzpatrick describes a tailored roadmap that begins with assessing workflows, operational bottlenecks, repetitive tasks, and potential areas for improvement. Businesses can then prioritize opportunities that appear likely to deliver meaningful returns before gradually expanding into other operational areas, supported by stronger security governance and regular reassessment.
The broader research helps explain why this measured approach may matter. Boston Consulting Group’s analysis suggests that AI’s impact will differ significantly across occupations, with some roles becoming more AI-enabled, others being redesigned, and some potentially facing greater substitution. The report estimates that 23% of current jobs fall into an “enabled” category, where AI may become part of everyday work while core responsibilities remain largely unchanged. Another 34% fall into a limited-exposure category in its model, where the potential for automation appears more restricted.
For business leaders, these distinctions provide a useful perspective when planning technology investments. AI adoption can become less about introducing tools for their own sake and more about determining how technology, process design, security, and human expertise can work together effectively.
Fitzpatrick explains, “My job isn’t to sell you more technology. It’s to help you make the right technology decisions for your business.” In an increasingly AI-driven business environment, this perspective points to a form of technology leadership that goes beyond choosing tools. It requires understanding the business first, establishing appropriate safeguards, and recognizing where human judgment continues to add value.
AI will likely continue to expand the range of tasks technology can support. Organizations that manage this expansion thoughtfully may be those that give equal consideration to strategy, governance, process quality, and the people responsible for delivering outcomes. In that environment, embracing AI can go hand in hand with keeping human judgment at the center.
Email: info@fitzenterprises.com
