Scaling IT without Adding Complexity
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Karlyn Gibson, Director of Information Technology (Head of IT)

Scaling IT without Adding Complexity

Karlyn Gibson, Director of Information Technology (Head of IT)
Karlyn Gibson, Director of Information Technology (Head of IT), Summer Fridays

Karlyn Gibson

Business Technology Integrator

Karlyn Gibson leads technology strategy with a focus on scalable foundations that support business growth. Her approach combines business alignment, thoughtful automation, continuous learning and selective external expertise to help lean IT teams deliver greater value.

Starting With the Business

As companies grow, technology becomes increasingly important, but the way IT approaches that growth matters just as much. Adding systems, tools and people does not necessarily create an IT organization that can scale effectively. For me, that starts with a basic belief that IT is not separate from the business. We are part of the business.

Technology strategy should begin with an understanding of where the organization is going. IT leaders need visibility into one-, three- and five-year plans while recognizing that those plans will change as the business evolves.

Regular conversations with senior leaders provide part of that perspective. Understanding how the business actually operates is equally important. IT needs to recognize where teams struggle, which processes slow people down, how information moves between departments and what could eventually become a roadblock to growth. That perspective allows IT to move beyond reacting to requests and start anticipating what the business will need.

Establishing a Strong Technology Foundation

Growth cannot come at the expense of the technology foundation supporting the business. I strongly believe in a foundation-first approach because unstable infrastructure, security, integrations, data and core business systems can make additional technology more difficult to manage.

AI makes that principle particularly relevant. Businesses are moving quickly to explore AI, and there is good reason to be excited about its potential. AI cannot compensate for scattered data, disconnected systems or inconsistent processes.

  Technology creates the greatest value when it rests on a strong foundation, connects with the business and gives people the capacity to work smarter and focus on what matters most.  

With the right foundation in place, AI can become a powerful tool across the business. It can help teams access information faster, reduce repetitive work and make better decisions without adding unnecessary complexity to the technology environment.

A strong foundation gives new technology somewhere reliable to operate. It creates the conditions for AI to deliver practical value rather than adding another layer to an already fragmented environment.

Creating Capacity within a Lean IT Team

A lean IT team has to evaluate every initiative by its potential value and the organization’s ability to support it. Every new project requires consideration of what is truly critical and what the internal team can realistically manage.

Specialized partners can provide expertise that does not need to exist internally. Effective partnerships still require internal capacity, however, because someone needs to manage those relationships and ensure the work remains aligned with business priorities.

Scalability is not simply an infrastructure question. It depends on creating an operating model that can support business growth without requiring the IT organization to expand at the same pace.

Automation is one way we create that capacity. Every repetitive task that can be responsibly removed or simplified gives the team more time to focus on higher-value work.

The same principle applies throughout the organization. Better integrations, more accessible data and smarter workflows can reduce manual processes and give employees more time for work that moves the business forward.

Automating What Works

I prefer to approach automation progressively. The process should crawl, walk and then run, beginning with tools and processes that work well manually and are designed to connect with the broader technology environment.

Once a process is stable and understood, automation can make it more efficient. Automating a broken process simply allows problems to occur faster and potentially at a greater scale.

A deliberate approach makes it easier to understand what technology is improving. The objective is not automation for its own sake. It is creating reliable processes that give employees greater capacity and make the organization easier to operate.

Automation works best when it follows a clear understanding of the process itself. Starting with a sound process creates a stronger basis for improving it through technology.

Making Learning Part of IT

The same philosophy applies to developing IT teams. Technology professionals work in an environment of constant change, making continuous learning an important part of how the team operates.

In a lean organization, day-to-day support can easily consume available capacity. When tickets and operational work take up the team’s entire capacity, there is little opportunity to improve the systems and processes generating that work.

IT leaders need to deliberately create room for employees to learn, experiment and grow while giving them time for automation, architecture, process improvement and emerging technologies. Developing those capabilities allows the team to take on more complex work and contribute more strategically to the business.

A strong IT organization does not need every skill internally. Sometimes the right answer is developing the team, sometimes it is bringing in outside expertise, and often it is a combination of both.

Successful technology transformation ultimately depends less on how much technology an organization implements than on whether that technology helps the business operate better and scale effectively. IT creates lasting value when its technology decisions remain grounded in business needs and supported by a foundation that can grow with the organization.

The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.