The Hidden Risks of Network Automation: What Happens When You Get It Wrong

Network automation promises efficiency, cost savings, and innovation — but only if it’s executed properly.

Without a clear strategy, proper metrics, and governance, automation can do more harm than good. From compliance violations to costly downtime, the risks of poorly managed automation are real and often underestimated.

This is the third post in our series on driving business value through network automation. In our first blog, we explored why aligning network automation with business goals is essential for achieving meaningful outcomes. Blog 2 delved into how to measure the ROI of automation, moving beyond cost savings to quantify broader business impacts.

Now, we’ll uncover the hidden risks of network automation and show you how to avoid them. We’ll also highlight some of the invisible issues that could be quietly sabotaging your automation goals, drawing from insights shared in Itential’s guide on overcoming automation blockers.

Many organizations rush into automation, believing that more automation equals better performance. But automating inefficient processes or scaling without governance and best practices can lead to bigger problems fast.

Example: A company automates a process that allows users to manually enter required data when requesting the automation, allowing for manual errors and missing key data validation. This scales errors across the entire network.

Common Pitfalls of Poorly Managed Automation:

• Compliance Failures: Without consistent, automated compliance checks, organizations risk violating regulations like GDPR, HIPAA, or PCI DSS. If governance is not put in place to ensure sensitive data is handled appropriately, audits can uncover breaches in compliance regulations that will bring scrutiny and consequences to the automation team.
• Security Vulnerabilities: Automation can inadvertently open new security gaps if not carefully managed. Misconfigured scripts might expose sensitive data or create backdoors for attackers. Self-service automation is often the goal for enterprises, but without the appropriate guardrails built into the design of the automation, it opens the door for vulnerabilities throughout the network.
• Operational Chaos: Without proper oversight and built-in validation, automation can lead to unexpected system behavior, service disruptions, or even full-blown outages. For example, automating the change on the network but not the pre- and post-checks can lead to decreased automation value and increased chance of human error.
• Wasted Investments: Organizations that invest heavily in automation without clear business alignment often see little to no ROI, leading to wasted resources and sunk costs. When the automation requires a long delivery time due to immature process or complexity, teams begin to question if the automation is worth the effort.

Sometimes, the most dangerous risks aren’t the obvious ones. As I outlined in a previous blog, Shining a Light on the Invisible Issues Blocking Your Automation Goals, these subtle pitfalls can quietly derail even the most promising automation initiatives:

Fragmented & Inconsistent Inventory
Without a unified source of truth, teams struggle to manage devices consistently. Relying on disparate tools like NetBox, CMDBs, or even error-prone spreadsheets can introduce inconsistencies that hinder automation.

Configuration Inconsistency
Just as people have different writing styles, teams may configure systems in varied ways, leading to unpredictable outcomes. Lack of standardization can create friction and errors in automated processes.

Cross-Functional Resistance
Organizational silos and resistance from key stakeholders (we all know a “Joe”) can block progress. Without alignment and cooperation, automation projects can stall or fail.

Real-World Examples of Automation Gone Wrong:

• Financial Sector: A bank automated its transaction validation process without proper testing, leading to undetected errors in financial reports and regulatory penalties.
• Healthcare: A hospital system implemented automated patient data transfers, but a misconfigured script led to data mismatches, impacting patient care and compliance.
• Manufacturing: A manufacturer automated its supply chain processes, but without monitoring, it caused overproduction, inventory mismanagement, and increased costs.

To mitigate these risks, organizations need a structured approach to automation:

• Strategic Alignment (Revisit Blog 1): Ensure automation initiatives are tied to clear business goals and outcomes.
• Metrics-Driven Strategy (Revisit Blog 2): Use the right KPIs to monitor automation effectiveness and catch potential issues early.
• Address Invisible Issues: Resolve underlying challenges like fragmented inventory and configuration inconsistencies. Consider tools and frameworks that help standardize processes and foster collaboration.
• Governance & Compliance: Establish clear policies, version controls, and audit trails to maintain compliance and security standards.
• Continuous Monitoring & Feedback Loops: Automation isn’t a set-it-and-forget-it solution. Regularly monitor, test, solicit feedback, and adjust your automation processes to prevent reduced ROI and minimize risk.

Network automation can be a game-changer, but without the right strategy, metrics, and governance, it can introduce more problems than it solves. By understanding the hidden risks — both obvious and invisible — and applying a structured approach to mitigation, you can ensure your automation efforts deliver value without the unintended consequences.

Want to ensure your automation initiatives are set up for success? Check out our white paper, Aligning Automation to Business Value: A Framework for Metrics-Driven Impact, to learn how to avoid these pitfalls and maximize the value of your automation strategy.

You can also catch my live webinar on May 21st for an in-depth look at clearing the invisible roadblocks that prevent automation success — info and registration here.