How does Cognitive RPA and AI integration improve standard automation?

All answers to this question.

Standard RPA is "doing," while Cognitive RPA is "thinking." By integrating Document Understanding or Intelligent OCR, you can train ML models to recognize patterns in unstructured documents. Instead of looking for a specific coordinate on a page, the bot "understands" what an invoice number looks like, regardless of where it's placed. Tools like UiPath AI Center or ABBYY FlexiCapture allow you to plug these models directly into your workflows. In a recent project, we moved from 40% automation to 95% by using a pre-trained ML model to extract data from various utility bills that had no standard format.

   Answered 2025-01-22 by Kimberly Taylor

Is the cost of AI-based OCR significantly higher than standard OCR? We are worried about the "per-page" processing fees associated with cloud AI services like Azure or Google Cloud.

   Answered 2025-01-24 by Thomas Wright

• Thomas, it is more expensive, but the ROI comes from the reduction in human "Validation" time. If a standard OCR has 60% accuracy, a human still has to check everything. If an AI model gets you to 99%, the human only checks the exceptions. You can also look into "On-Premise" ML hosting if you have high volumes to avoid per-page cloud costs. Many vendors now offer a hybrid model where you pay for the license rather than the consumption, which is much more predictable for large-scale enterprise deployments.

     Commented 2025-01-26 by Kimberly Taylor

Don't forget about Natural Language Processing (NLP). Using NLP, your bots can even categorize the "sentiment" of customer emails and route them to the right department automatically.

   Answered 2025-01-28 by Laura Bennett

• NLP is a game-changer for customer service. Having a bot that can tell if a customer is "angry" and escalate it to a manager immediately is huge for brand reputation.

     Commented 2025-01-29 by Michelle Carte