RPA and Generative AI: No Escape From Digital Transformation

Today, the business world is increasingly focusing on technological innovations to respond to rapidly changing needs. RPA (Robotic Process Automation) and Generative AI integration lie at the heart of this transformation. This powerful duo not only automates business processes but also enhances RPA capabilities by offering smarter and decision-oriented solutions. So, how does this technology digitize business processes and what abilities does it bring to companies?

What are RPA and Generative AI and How Do They Work?

RPA involves robots that complete repetitive and monotonous tasks without human intervention. For instance, if a customer service representative needs to sort through hundreds of emails every day, RPA can accomplish this in seconds. Generative AI, on the other hand, analyzes these emails and directs them to the relevant teams. For example, it can save time by writing automated replies or routing queries to the appropriate departments in customer support processes.

When these two technologies come together, it becomes possible not only to automate processes but also to optimize them. While RPA handles routine tasks, Generative AI adds strategic and creative solutions to these processes. The result? Faster, error-free, and innovative business workflows.

Benefits of RPA and Generative AI Integration for Business Processes

1. Agentic AI in Customer Support Processes

RPA and Generative AI can significantly reduce the monotonous workload of customer support teams. For example:

• RPA sorts and categorizes incoming customer complaints.
• Generative AI generates appropriate automated responses to these complaints, providing quick resolutions and addressing issues.

Real-life example: UPS automated 80% of the inquiries coming into customer services, reducing response times by 60%. Additionally, this technological solution increased customer satisfaction by 45%.

2. Agentic AI in Invoice Processing

Time-consuming and error-prone processes like invoice processing can be digitized using RPA and Generative AI technologies:

• Generative AI scans invoice data and performs verification.
• RPA enters the scanned information into core systems.

Statistic: According to McKinsey, businesses can reduce invoice processing time by 58% with this integration.

3. Strategic Decision-Making with Agentic AI

RPA and Generative AI play a strategic role in decision-making processes. Generative AI conducts complex analyses to produce appropriate solutions or decisions, while RPA executes actions based on these decisions. For example:

• An insurance company reviews medical reports and patient statements to determine and issue payments.

Result: Lower costs and faster outcomes.

Applications of RPA and Generative AI Integration

• Human Resource Management: Automated recruitment and performance evaluation processes.
• Financial Reporting: Gathering data and creating detailed forecast reports.
• Logistics: Optimization in shipment and inventory management.

How to Start with RPA and Generative AI?

1. Explore Examples
2. Create Your Own Process
3. Calculate Your Savings
4. Work with Partners