Manual Process Automation (AI + RPA)
Digitize and automate complex, end-to-end processes with the combined power of AI and Robotic Process Automation (RPA).
Overview
We go beyond traditional RPA by infusing it with cognitive skills like Natural Language Processing (NLP) and computer vision, enabling the automation of processes that involve unstructured data and require human-like judgment.
Key Client Challenges
- RPA bots failing with unstructured inputs (emails, PDFs)
- Manual steps required for processes needing interpretation
- Difficulty scaling automation due to process variations
- High cost of handling exceptions from brittle, rules-based bots
How YCP Renoir Helps
- Analyse and re-engineer business processes to be automation-ready
- Deploy intelligent bots that can read documents and interpret images
- Integrate AI/RPA solutions with both legacy and modern applications
- Establish a Center of Excellence (CoE) to manage and scale automation
Intelligent Claims Processing for Insurance
Our Solution
We implemented a RAG-powered assistant that indexes the firm’s entire knowledge repository, including project archives, CRM, and expert databases. Consultants can now ask complex questions in natural language, such as “Find case studies on supply chain optimization for CPG clients in Southeast Asia with a project value over $2M” and receive a synthesized summary with direct links to the source documents.
Potential Impact
- Faster Settlements: Claim resolution times could drop from days to under 24 hours.
- Cost Reduction: Operational costs may decrease by over 50% through automation.
- Compliance & Accuracy: Improved data quality reduces regulatory and reputational risk.
