RPA, Generative AI and Agentic AI: A Guide to Enterprise Processes
Increasing sales and reducing operational costs—what a dream for any company! To achieve this, creating robotic processes that require no human intervention has become a necessity. Agentic AI, born from the fusion of RPA and Generative AI, delivers intelligent and automated business processes. By leveraging these technologies together, data collection, analysis, decision-making, and execution are fully digitized, enabling immediate actions.
How can you lighten your company's operational workload, accelerate sales processes, and reduce costs? Here's the secret to making a difference with Agentic AI.
Core Capabilities of Agentic AI
- Rule-Based Process Automation (RPA): Performs routine and repetitive tasks accurately and quickly.
- Analysis and Decision-Making (Generative AI): Analyzes data, identifies semantic relationships, and generates insights.
- Action Execution: Agentic AI not only provides recommendations but also directs RPA robots to execute these recommendations, completing processes end-to-end.
Remember: Agentic AI is not just a decision-making system; it takes swift actions based on those decisions.
Use Cases
1. Sales Proposal Management: Fast and Personalized Dynamic Proposals
How It Works:
- Data Collection (RPA): Collects customer information and past purchase data from CRM and ERP systems.
- Analysis and Decision-Making (Generative AI): Analyzes past purchasing behaviors, creates a personalized proposal, and determines dynamic pricing by evaluating competitor offers.
- Agentic AI: Sends the proposal to the customer via email and updates the CRM with the proposal status.
Results: 50% faster proposal preparation. ROI: A company preparing 1,000 proposals per month saves 4.3 FTE and $181,000 annually.
2. Supplier Selection and Cost Optimization
How It Works:
- Data Collection (RPA): Collects supplier delivery history, product quality, and cost data.
- Analysis and Decision-Making (Generative AI): Identifies underperforming suppliers and selects more cost-effective alternatives.
- Agentic AI: Initiates contract renewal or negotiates agreements with new suppliers.
Results: 15% cost savings and faster supplier transition processes. ROI: A company profiling 100 suppliers weekly saves 1.6 FTE and $70,000 annually.
3. Cross-Selling and Customer Support Processes
How It Works:
- Data Collection (RPA): Analyzes customer support requests and product history.
- Analysis and Decision-Making (Generative AI): Identifies cross-selling opportunities and ranks recommended products based on customer needs.
- Agentic AI: Sends cross-selling offers to the customer via email and updates CRM with satisfaction ratings.
Results: 40% faster support processes, 15% increase in cross-selling rates. ROI: A company with $1 million in customer support costs saves $150,000 and gains $200,000 in additional revenue.
How to Get Started with Agentic AI
- Map Your Processes: Identify the processes where automation will add value.
- Enable Quick Integration with NisusAI: Add Agentic AI capabilities to your existing systems using NisusAI UiPath Integration.
- Visualize Savings and Gains: Use the FTE Calculator to calculate cost advantages in your processes.
- Get Expert Support: Visit Work with a Partner for professional assistance.
Conclusion: Agentic AI not only automates your processes but also makes them intelligent, enabling effective actions instantly. It accelerates sales processes, reduces operational costs, and delivers measurable value to companies. Start now and transform your processes with the power of NisusAI UiPath Integration!