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In this last installment of our task capture for automation best practices series, we highlight how to manage process change effectively and why it’s essential to maximize returns in your process discovery, process excellence, and especially automation efforts.

Parts 1-5 have already detailed the importance of:

Why Process Change Management is so Important

If you’ve followed our series on task capture for automation best practices, then you’ve already: defined your high-level process, captured all the low-level details, added the key critical dependencies, and have delivered the corresponding output for automation. But it doesn’t end there. There’s still some work to do.

In today’s business world, nothing stands still. There are many moving parts impacting your processes or tasks that are subject to change.

The application under that automated process will change or the regulations and controls it adheres to, most certainly will.

Let’s consider a simple automation example for a moment. You’ve captured and optimized the task of opening an email that contains an invoice and inputting all relevant information into an ERP (enterprise resource planner) like SAP.

What happens when there’s an upgrade to SAP and the fields in the application change? If you’re not aware of the impact of this change and all the tasks or processes it affects, you’ll become aware when the bot throws an error and breaks. In this scenario, the bot sits idly, not delivering any business value, and you have to invest precious resources investigating, correcting, testing, and redeploying the bot. These break-fix cycles are causing RPA programs to sputter and deliver underwhelming returns that also prevent scale.

Learn More: How to Reduce the Rising Costs of RPA Maintenance and Support

If a regulation changes, the consequences can be even more severe. Imagine there’s a minor change to the way sensitive data is treated? Without the means to understand and instantly zero-in on what processes and tasks that regulation impacts, you risk non-compliance and are left vulnerable.

Effective change management is so important to ensure your automations keep delivering business value while remaining compliant and mitigating risk. That demands being swift with change, understanding the impact, and implementing a proactive change management strategy where change can be anticipated and corrected before money is lost and non-compliance becomes a serious risk.

How to Manage Process Change Effectively

Effective process change management isn’t just about instituting the right protocols; it’s also about implementing the right tools that give you the capabilities you need.

Calling out critical dependencies and documenting them is the first part of the equation. With that groundwork done, you already have a record of the systems, applications, and regulations that interact with your processes and tasks, allowing you to keep a pulse on the implications of any change that can impact those processes and tasks.

The second part of a successful process change management formula is the right tools that enable you to visualize the impact of change instantly so you can address it proactively before it triggers any errors or runs unnecessary risk.

That’s where Blueprint comes in.

Blueprint’s Enterprise Automation Suite delivers instantaneous impact analysis that allows you to query the system and identify what exactly will be impacted by that change.


From there, because Blueprint is a central repository where all stakeholders can converge to collaborate, you can coordinate and trigger the necessary preventative actions across all teams to ensure your processes, tasks, and bots remain compliant and continually deliver maximum business value so you can realize optimal returns.

Download the Blueprint Enterprise Automation Suite datasheet and discover exactly how Blueprint’s intuitive tracing and impact analysis capabilities can empower you to implement a proactive change management strategy.

Blueprint Enterprise Automation Datasheet

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