The Structural Bottleneck in AI Adoption
For many business leaders, the promise of artificial intelligence (AI) has collided with the reality of organizational inertia. While the technology itself offers significant potential for automation and insight, its integration often stalls not because of technical limitations, but because of structural misalignment. Efficiency, flexibility, and imagination are identified as the critical keys to unlocking maximum IT productivity, yet achieving this requires more than just purchasing new software; it demands a commitment to intelligent restructuring.
Achieving this level of operational agility requires a willingness to try new and creative approaches to daily operations. If your organization is struggling to see tangible returns on its digital investments, the issue may lie in how technology work gets prioritized, funded, built, and scaled, rather than in the tools themselves.
Refer & earn: 30% of a client’s first month, then 10% of every month after that, for up to 24 months per client. See the partner programme →
From Function to Value: Changing the Organizational Chart
The traditional model of organizing IT around specific functions—such as separate departments for networking, security, development, and operations—is increasingly viewed as a barrier to speed. Kelly Raskovich, an associate director at Deloitte Consulting, advises leaders to stop organizing IT around functions and begin focusing on business value. She notes that productivity doesn’t come from redrawing boxes on an organization chart. Instead, it comes from changing how technology work gets prioritized, funded, built, and scaled.
This perspective suggests a transition to product and platform-based teams that are aligned with the enterprise’s most important outcomes. According to Raskovich, Deloitte’s research describes this shift as moving from “keeping the lights on” to “lighting the way forward.” When CIOs adopt this model, they cease to be merely system runners and become strategic partners who shape business direction.
However, simply creating new teams is insufficient if the underlying processes remain fragmented. Raskovich warns that if AI is simply bolted onto fragmented processes, organizations may get more activity without achieving meaningful scale. The actual productivity gain comes from embedding AI into architecture, delivery, operations, and decision-making, supported by reusable platforms, strong data foundations, and clear governance.
Breaking Down Silos Through Cross-Functional Teams
One practical method for dismantling these silos is the creation of independent subdepartments or cross-functional product teams. Chase Snuffer, CIO at Rayburn Electric Cooperative, reorganized his IT department into five distinct subdepartments: development, networking, cybersecurity, information assurance, and IT operations. Prior to this change, IT was composed of small, self-contained teams where individuals were stretched across multiple groups. While this allowed for independence, it created silos where teams did not have to collaborate to achieve their goals, leading to divergent practices and priorities.
The new structure has created greater depth within each domain. For example, the networking team now includes a mix of senior architects and junior administrators, which naturally enables mentoring within the group while encouraging collaboration across functions. Snuffer also notes that a revamped physical layout reinforces this cooperation, with open spaces, whiteboards, and shared conference rooms facilitating both formal and organic interaction.
This approach is echoed by Tim Haider, CEO of Remote Job Assistant, who agrees that IT teams generate improved productivity when shifted from traditional departments into small cross-functional groups that own a specific business outcome. By allowing engineering, security, operations, data, and product specialists to solve problems together instead of passing work between isolated teams, organizations can cut approval delays and reduce duplicated efforts. This structure ensures that technical decisions remain tied to customer and business value rather than internal priorities.
Yogesh Joshi, senior vice president of global AI platforms at TransUnion, supports this view. He argues that while operating in silos creates specialization, it introduces handoffs, competing priorities, and delays that slow the delivery of business outcomes. A more effective approach is to establish cross-functional product teams that own a specific business capability end-to-end. These teams bring together product management, engineering, data, security, and operations around a shared mission with common success metrics. To support these teams, organizations should build centralized platform capabilities that provide reusable services for data, security, identity, governance, and AI, enabling product teams to move faster while maintaining consistency and control.
Security as an Accelerator, Not a Gatekeeper
A critical component of this restructuring involves redefining the role of security. Jeremy Koppen, CISO at Equifax, advises combining security, technology, engineering, and architecture teams. He emphasizes that when you treat security as an accelerator instead of a gatekeeper, you’ll remove the daily friction that slows the business down. This mindset shift allows organizations to move at the speed of development, supporting teams in securely launching new innovations rapidly.
Koppen also highlights the importance of evaluating initiatives based on whether they solve actual problems rather than just completing tasks. With the current speed of AI development, he notes that a security or technology roadmap built in December might be partially obsolete by April. Therefore, C-level executives must drive productivity by shifting the organizational mindset toward problem-solving relevance rather than mere initiative completion.
Reducing Friction and Managing Tool Inventory
Organizational friction is often a larger contributor to productivity loss than individual performance issues. Andy Miears, a partner with technology research and advisory firm ISG, points out that recurring problems such as unclear ownership, competing priorities, excessive handoffs, and decisions being reopened after work has begun can consume significant delivery capacity. Reducing that friction often creates more value than simply asking teams to work faster.
Miears suggests focusing on the workflow, not the organization chart. Leaders should select a high-value business domain or value stream, trace how demand moves from idea through prioritization and delivery, and identify where decisions, queues, approvals, and handoffs are slowing throughput. This process-oriented approach helps identify bottlenecks that structural changes alone might miss.
Additionally, tool sprawl contributes significantly to inefficiency. Anita Williams Woolley, a professor at Carnegie Mellon University’s Tepper School of Business, advises sorting inventory by function rather than by vendor or budget line. She explains that the pattern that emerges is usually a redundancy in memory, gaps in reasoning, and confusion in attention. Adopting a disciplined process for introducing, managing, and retiring tools is essential. An enormous amount of time is lost to simple ambiguity about which tool or channel a given project is supposed to use, so retiring tools is just as important as introducing new ones.
What Leaders Should Check Before Acting
For business readers considering these restructuring strategies, the path forward requires careful assessment. First, evaluate whether your current AI implementations are embedded in your core architecture or merely added on top of existing workflows. If the latter, scaling will likely yield diminishing returns. Second, examine your team structures. Are your engineers, security experts, and product managers working in isolation, or are they part of cross-functional units with shared goals? Third, audit your tool inventory. Identify redundant applications and clarify usage protocols to reduce cognitive load and ambiguity.
Finally, consider the physical and cultural environment. Does your workspace encourage collaboration, or does it reinforce silos? Small changes, such as co-locating teams or establishing shared communication channels, can significantly impact productivity. The goal is to create an environment where efficiency, flexibility, and imagination can thrive, allowing your organization to embrace creative restructuring and boost long-term productivity.
Sources
7 ways to restructure IT for maximum productivity
30% of their first month, then 10% every month after that
Refer a business to Faida Workforce and you earn 30% of the client’s first paid month, then 10% of every month for up to 24 months per client — rising to 15% from the accrual after you pass 10 active clients. Paid by PayPal, batched on the 1st.
10 Pro clients = $2,598.70 over 24 months — $3,748.13 at the 15% tier.
Figures are potential earnings worked from the published rates, assuming every referred client pays for the whole cap — not a promise, not an average. The $1 trial is never commissionable.
