Reducing Enterprise Friction Starts With Outcomes, Not Technology

When I talk with customers about friction, I often find that they’re looking for a single cause and a single solution. In reality, friction exists everywhere. It shows up in processes, communication, technology platforms and organizational culture. That’s why reducing friction isn’t about deploying one new tool or adopting the latest technology trend. It’s about understanding where obstacles exist and aligning people, processes and technology around a desired outcome.

The findings from CDW’s new report, “Eliminating Digital Friction: How to Build a Frictionless Enterprise,” reinforce what I see in the field every day. More than half of respondents defined friction as process inefficiencies, while communication breakdowns emerged as another significant contributor. Organizations also identified increased security risks and slowed innovation as major impacts of friction. The message is clear: Friction isn’t simply an IT issue. It’s a business issue.

One of the most common mistakes organizations make is focusing on technology deployment instead of business value.

If the goal is to deploy a new firewall, backup platform or AI solution, that’s a relatively straightforward project. But if the goal is to improve efficiency, accelerate innovation or create a better customer experience, the challenge becomes much more complex. Reducing friction requires organizations to think beyond implementation and focus on outcomes.

The survey revealed that 54% of respondents believe implementing new IT tools is slower or more difficult than it should be. That finding isn’t surprising. Too often, organizations purchase new technologies without fully understanding how they fit into existing workflows, overlap with other tools or support long-term business objectives.

The most successful organizations start by asking a simple question: What outcome are we trying to achieve? Once that answer is clear, it becomes much easier to identify and eliminate the sources of friction standing in the way.

Organizations clearly recognize AI’s potential. According to the survey, 67% are increasing spending on generative AI, nearly matching cybersecurity investments at 68%. At the same time, AI integration tied with cyber resilience as the top strategic priority among respondents.

Yet many organizations remain in the early stages of adoption. In fact, 34% described themselves as early adopters of AI, while employee skill gaps were identified as the biggest challenge organizations face when implementing AI.

What I see repeatedly is a disconnect between enthusiasm and readiness.

AI can absolutely reduce friction by automating repetitive tasks, accelerating decision-making and helping employees focus on higher-value work. More than half of survey respondents cited automation and efficiency as AI’s greatest benefit. But AI success depends on having the right governance, infrastructure and security controls in place.

Organizations need to evaluate whether their existing environments can support the outcomes they want from AI. That means assessing infrastructure, data pipelines, security frameworks and operational processes before expecting transformative results.

Security is another area where friction often emerges. Many organizations worry that stronger security controls will inevitably create more complexity for employees. While security initiatives can introduce challenges, they don’t have to come at the expense of productivity.

The survey found that performance impacts, cybersecurity training requirements and resource constraints are among the most common sources of friction within cyber resilience efforts. At the same time, organizations are increasingly turning to automation and AI-powered security capabilities to reduce that burden.

I believe agentic AI presents an especially compelling opportunity. Properly governed agents can follow security policies consistently, automate repetitive tasks and help employees avoid common mistakes that create risk. Rather than choosing between security and efficiency, organizations can leverage intelligent automation to strengthen both.

Of course, technology alone won't create a frictionless enterprise.

The human element remains critical. Communication breakdowns, organizational silos and resistance to change continue to create barriers to progress. I often tell customers that adoption happens when people reach their “aha moment” — the point where they personally experience how a new technology makes their work easier.

I’ve experienced that firsthand. Today, AI agents help me manage information, organize priorities and reduce administrative overhead. The result isn’t just greater productivity. It’s more time to focus on strategic work and more time to spend with my family.

That’s ultimately what reducing friction is about. It’s not eliminating every obstacle. It’s creating an environment where people can focus their energy on meaningful work instead of fighting inefficient processes.

The organizations that will succeed in the years ahead are the ones willing to evaluate friction holistically. They’ll address technical debt, modernize legacy systems, improve communication, embrace automation and align every technology investment with a clearly defined business outcome.

Reducing friction isn’t a project with a finish line. It’s an ongoing strategy. And in a world moving faster than ever, that strategy may become one of the most important competitive advantages an organization can have.