ChatGPT has garnered a wealth of attention over the last year. Some have seen it as the precipice that ushers in the age of artificial intelligence (AI), while others have welcomed it coldly, fearing what it might lead to.
Regardless of which side of the fence you stand, you’ve probably already experimented with ChatGPT and found some applicable and practical use for generative AI technology that makes your professional life a little easier.
If you work in the automation space, you may think there isn’t a place for ChatGPT and generative AI in the context of your work. But that is, in fact, not true. In this article, we list how automation professionals can benefit from using ChatGPT to create automated prompts.
Useful ChatGPT Prompts for RPA Leaders
#1 - Inquiry About RPA Trends and Developments
An excellent way to dip your toe into ChatGPT waters is by investigating the latest RPA trends and developments to stay ahead of the automation curve. While you might actively engage with trade news, prompts like the one below can gather insight from around the internet to give you a concise summary instantly.
Prompt: What are the latest trends in RPA technology, and how are they impacting business processes?
#2 - Asking for RPA Best Practices
There are countless mature RPA practices in all verticals now. There is also a burgeoning field of automation thought leaders.
Generative AI can collect the latest and greatest from around the world, allowing you to learn what others are doing in their RPA initiatives that have delivered tangible and significant results.
Prompt: Can you provide best practice guidelines for successfully implementing RPA in a large organization?
#3 - Discussing RPA ROI and Metrics
Automation KPIs and metrics are an analytical field that is still evolving. ChatGPT can be used to understand what other RPA leaders are tracking and how that has helped them understand the performance of their automations, from how they measure returns to what they monitor so they can optimize their RPA estate.
Prompt: What metrics are most effective for measuring the ROI of RPA implementations?
#4 – Exploring Automation Challenges and Solutions
All enterprise software categories come with their own set of unique challenges. Naturally, there are also solutions to those challenges. ChatGPT can be used to uncover the barriers others have faced and how they’ve overcome them.
Prompt: What are common challenges faced during RPA deployment, and how can they be effectively addressed?
#5 - Integration with Other Technologies
RPA is not a standalone technology. It must interact with other technologies. RPA can also be enhanced by applying other emerging technologies to make it more robust, sophisticated, and powerful.
For example, intelligent automation can be achieved by marrying RPA with AI technologies like machine learning and natural language processing. Generative AI can give you a helping hand and tips on how to make this a reality.
Prompt: How can RPA be integrated with AI and machine learning to enhance automation?
#6 - Industry-Specific RPA Applications:
Whether or not you have an RPA Center of Excellence, exploring how others have applied automation in specific industries or departments is valuable. There might be automation opportunities you have overlooked that other RPA practices have seen significant returns on by automating.
ChatGPT can be used to examine the most common processes automated in any industry or department.
Prompt: Can you give examples of how RPA transforms operations in the healthcare/financial services/banking/manufacturing/utilities etc. industry?
What are the most common processes automated in finance, IT, HR, etc.?
#7 - Future Predictions for RPA:
Like any other software category, RPA is subject to drastic change as technology advances. Generative AI can be used to stay ahead of the curve and understand what’s coming down the pipe for years to come.
Prompt: What is your prediction for the future of RPA in the next five years?
#8 - RPA Case Studies and Success Stories
As with multiple examples from this list, RPA leaders can be aided with experiential insight. Understanding how others achieve success may help you realize the same by mirroring their journey and not repeating the same mistakes they did.
Prompt: Could you share some success stories of companies that have effectively used RPA to improve their business processes?
#9 – RPA Cost-Benefit Analysis
Defining ROI is an integral step when an organization invests heavily in technology. With RPA, it can be a tricky science that doesn’t necessarily have one universally agreed upon answer. ChatGPT can help RPA leaders by distilling this complex topic with valuable insight.
Prompt: How does the cost-benefit analysis of RPA compare with traditional IT automation?
How is RPA ROI measured?
#10 - Addressing Scalability Issues
Achieving scale is a constant objective for all RPA programs. Organizations want to maximize the returns from their initiatives and investment in automation. With that being said, scaling RPA is not easy. Generative AI can provide key tips to help you apply RPA to more areas of the business and automate more business tasks and processes.
Prompt: What strategies can be leveraged to ensure RPA scalability in a rapidly growing company?
#11 - Handling RPA Security Concerns
In a digital world of constant cybersecurity threats, RPA security has become a hot topic. ChatGPT can be used to understand where you might have vulnerabilities in your automation practice and the preventative measures you can take to reinforce your protection and defense from malicious cybercriminals.
This is particularly important to organizations in heavily regulated industries like finance or healthcare, where data integrity is paramount.
Prompt: What are the best practices for ensuring data security and compliance in RPA implementations?
#12 - Discussing the Human Element
The implementation of automation has been met with some employee resistance. Understanding the impact of RPA on your employees can help you gain buy-in and turn them into automation evangelists.
Prompt: How does RPA impact the workforce, and what steps can be taken to ensure a smooth transition?
#13 - RPA Vendor Selection Criteria
Procuring and selecting technology providers is always a challenging task. Cost has to be weighed against usability, features, capabilities, and power. There’s a lot of manual work and research to be done that can be simplified with generative AI.
Prompt: What criteria should be considered when selecting an RPA vendor or tool?
#14 – RPA Training and Skill Development:
Building out an RPA team is a crucial and challenging step, but the hard work doesn’t stop there. There is also enablement to think about.
ChatGPT can be leveraged to help automation practices implement enablement infrastructures that accelerate and improve RPA design and delivery.
Prompt: What training and skill development are required for employees to work with RPA technologies effectively?
#15 - RPA Total Cost of Ownership
Organizations are aggressively trying to reduce RPA’s rising total cost of ownership. It’s one big reason so many organizations are migrating to the much more cost-effective Microsoft Power Automate.
If reducing your automation operational expenses is a priority, ChatGPT can provide some insight into methods you can apply to get your RPA costs down.
Prompt: How can organizations reduce their RPA total cost of ownership?
Conclusion
Critical thought must always be exercised whenever leveraging technology, particularly AI, in this stage of its relative immaturity. However, that doesn’t mean RPA leaders can’t use it to their advantage to gain essential industry insight and make better, more informed decisions for their automation practice to improve quality, reduce costs, and scale.
