Redefining Internal Control in the AI Era: From Busywork to True Governance

The Reality of Internal Control Buried in Copy-Paste Work

When you hear “internal control,” many SME owners likely picture tedious paperwork.

In fact, among the companies I’ve supported, it’s not uncommon to see teams spending weeks on tasks like ID management and access rights audits.

However, a recent news story about a tech company challenges this conventional wisdom.

According to an article on Keyman’s Net, one tech company reduced the time spent on ID management from a week to just half a day. The key was automating the “grungy copy-paste work.”

This example opens up new possibilities for internal control in SMEs.

What ID Management Automation Reveals About the Essence of Governance

The company featured in the article fundamentally rethought its ID management process. They automated tasks like access rights verification and updates—previously done manually—by integrating tools with APIs.

Specifically, the following tasks were automated:

• Creating and deleting IDs for employee onboarding and offboarding
• Changing access rights due to departmental transfers
• Conducting periodic access rights audits
• Collecting and analyzing audit logs

These are all basic elements of internal control, but doing them manually consumes enormous time and effort. Moreover, relying on human input inevitably introduces the risk of errors.

The key point here is that automation isn’t just about “cost reduction.” The time freed up by automation can be redirected to designing and improving governance—the work that truly matters.

Governance isn’t just about following rules; it’s a management design concept for achieving business goals. When you’re buried in copy-paste work, you can’t possibly focus on designing true governance.

How AI is Transforming Internal Control Practices

Even more noteworthy is the advancement of AI technology. The integration of Okta ISPM and Claude Compliance API, as mentioned in the article, clearly shows how AI is changing the practical work of internal control.

Traditional ID management tools mainly relied on rule-based automation—simple logic like “if condition X, then do Y.” However, with AI, more complex judgments and exception handling become possible.

For example, AI excels in scenarios like:

• Detecting unusual access patterns
• Automatically determining if permissions are excessive or insufficient
• Implementing dynamic access control based on risk
• Automatically adapting to changes in compliance requirements

These were areas previously requiring human judgment, but AI advancements are expanding the scope of automation.

Why SMEs Should Embrace AI

Unlike large corporations, SMEs have limited personnel and budgets for internal control. That’s precisely why they need to maximize their limited resources.

AI-driven automation offers the following benefits for SMEs:

• Reduced human error: Prevents input mistakes and oversight from manual work
• Cost savings: Maintains a certain level of internal control without dedicated staff
• Faster processes: Executes approval workflows and permission changes in real-time
• Efficient audit preparation: Automates log collection and analysis to reduce audit workload

For companies with just a few dozen employees, having a dedicated internal control officer is often unrealistic. Typically, accounting or general affairs staff handle these tasks alongside their main duties.

That’s precisely why AI automation is so effective.

Start with “Visualization” as Your First Step

That said, you don’t need to jump straight into advanced AI tools. Start by “visualizing” your current internal control processes.

Specifically, I recommend these steps:

1. Document all current internal control processes
2. Measure the time spent on each process
3. Classify tasks into those that can and cannot be automated
4. Estimate the impact of automation (time saved, error reduction)
5. Prioritize and begin evaluating tools

Even this process alone will clarify the current state and challenges of your internal controls. It will also help you concretely envision the benefits of automation.

Key Considerations for Internal Control in the AI Era

While AI automation offers many benefits, there are also points to watch out for.

First, don’t over-rely on AI’s judgment. AI is merely a tool; final decisions must be made by humans. Especially for exception handling and gray-area judgments, human experience and insight are indispensable.

Second, consider the governance of AI itself. If AI’s decision-making logic becomes a black box, it could actually undermine control. Implement mechanisms that can explain the rationale behind AI’s decisions.

Third, improve employee literacy. Introducing AI tools is pointless if people can’t use them effectively. Plan and implement employee education and training alongside the tool rollout.

3 Actions Business Owners Can Take Right Now

Finally, here are three actions you can take immediately after reading this article:

• Audit your current ID management: Create a list of who has access to which systems. You’ll likely find that permissions are more disorganized than you thought.
• Research automation tools: Look for ID management tools that fit your company’s size and budget. Cloud-based tools can start from as little as a few thousand yen (approx. $20-30) per month.
• Establish internal rules for AI use: Clarify how AI will be used, including decision-making criteria and accountability.

Internal control isn’t something to be “forced upon” you; it’s a framework for growing your business. Leverage the power of AI to spend your time on designing more meaningful governance.

Beyond the copy-paste work lies true corporate governance.