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Why Automation and AI Are Non-Negotiable for Modern Businesses

From JOHNWICK

To stay competitive and resilient, businesses must embrace automation and AI as essential drivers of success, not optional extras. IDC predicts that by 2028, 80% of CIOs will implement organizational changes to leverage AI, automation, and analytics, creating agile, data-driven digital enterprises. With pressure to optimize resources, streamline operations, and deliver personalized experiences faster, organizations of all sizes face a critical challenge: getting automation right.

While most leaders recognize the need for automation, starting can feel daunting. Which processes should you prioritize? What tools are necessary? How do you avoid disrupting existing workflows? Most importantly, how do you build a scalable, future-proof automation strategy instead of relying on temporary fixes?

To answer these questions, let’s examine the evolution of automation and the pitfalls of past approaches.

The SaaS Trap: When Solutions Become Problems

Over the past decade, software-as-a-service (SaaS) has been the default choice for businesses seeking to modernize and automate. SaaS promised quick deployment, simplicity, and access to specialized tools for tasks like HR onboarding, sales tracking, or customer service — without the need for costly custom development. Initially, this approach was delivered. But over time, the drawbacks of “SaaS sprawl” emerged:

  • Fragmented Workflows: Multiple SaaS apps that don’t integrate force employees to toggle between systems, slowing down tasks.
  • Escalating Costs: Subscription fees pile up across departments, straining budgets.
  • Inflexible Processes: Off-the-shelf solutions often fail to align with unique team workflows.

Instead of simplifying operations, SaaS overload has created complexity, hindering seamless, efficient processes.

A Better Path: Process Automation and Custom Apps

To unlock automation’s full potential, businesses must shift focus to understanding and optimizing core processes while building tailored solutions. Process automation and custom apps offer a smarter approach by:

  • Streamlining Workflows: Automate repetitive tasks to free employees for high-value work, improving efficiency and consistency.
  • Connecting Systems: Integrate people, data, and tools to create cohesive, organization-wide workflows.
  • Tailoring Solutions: Build custom apps that fit your team’s unique needs, avoiding the rigidity of generic SaaS tools.

Automation isn’t about adding more tools — it’s about creating intelligent, connected processes that enhance how work gets done.

Four Steps to Build a Smarter Automation Strategy

To move from SaaS sprawl and manual inefficiencies to a process-first automation approach, follow these steps:

  • Pinpoint High-Impact Processes
Target processes causing the most friction for employees or customers, such as onboarding, procurement, or case management. Addressing these first delivers quick wins, builds momentum, and showcases automation’s value.
  • Map Workflows Thoroughly
Before automating, document the entire process — steps, handoffs, and pain points — with input from the people who do the work. This ensures automation addresses real issues rather than digitizing inefficiencies.
  • Choose a Flexible Platform
Select an automation platform that supports process management, workflow orchestration, system integration, and custom app development. This unified approach adapts to evolving needs without adding more tools.
  • Empower Teams with IT Collaboration
Enable business users to drive automation using low-code/no-code tools, while IT ensures security, compliance, and scalability. This partnership fosters innovation, minimizes shadow IT risks, and accelerates results.

Key Pitfalls to Avoid

  • Automating Flawed Processes
Rushing to implement technology without understanding workflows can perpetuate inefficiencies.

Solution:

  • Conduct process discovery with frontline input.
  • Use visual mapping tools or workshops to identify bottlenecks.
  • Leverage process mining or task capture for data-driven insights.

2. Tool Overload
Adding new automation apps can worsen SaaS sprawl, creating silos and inconsistent experiences.
Solution:

  • Choose platforms that consolidate tools and evaluate ROI based on reduced complexity, not just features.

3. Lack of Business-IT Alignment
Uncoordinated efforts such as business users bypassing IT (shadow IT) or IT stifling innovation can stall progress. Solution:

  • Establish governance with IT-approved guardrails.
  • Provide user-friendly tools with role-based access to empower non-technical users.

Conclusion

AI and automation are vital for business success, but their impact depends on execution. Moving beyond SaaS sprawl to a process-first approach — powered by tailored apps and streamlined workflows — enables organizations to solve problems at their core. By focusing on high-impact processes, mapping workflows, choosing flexible platforms, and fostering business-IT collaboration, you can create an automation strategy that drives efficiency, fuels growth, and prepares your organization for the future.

Read the full article here: https://medium.com/@MsquareAutomation/why-automation-and-ai-are-non-negotiable-for-modern-businesses-b7e2afa45091