Faster processes, smarter decisions and shorter client wait times—that’s the brilliance of AI-powered automation.
Using a combination of Watsonx.ai, retrieval augmented generation (RAG) and IBM Decisions, explain exactly how decisions about claims, benefits, loans and more were made. Combining context, decision outcome logs, and your own policy documents, leverage AI to help staff and customers understand decisions without exposing yourself to the risk of bad AI decisions.
Benefits
Natural Language
All the natural language chattiness of AI without the risk of hallucination
Data-Backed Decisions
Leverage the detailed data generated by IBM Decisions about how decisions were made to inform staff and customers.
Policy-Aligned Explanations
Ensure that explanations match policies and regulations by limiting explanations to that context.
Cost-Effective Compliance
Reduce costs by providing natural language explanations of automated decisions ready for use with customers and regulators.
Use Cases
Used medical plan policy documents to explain member care plans in natural language so members and call center staff knew exactly why specific health management
recommendations had been made.
Explain member care plans and suggested health actions using plan documents.
Generate draft letters for customers explaining why credit has been denied.
Document decisions for regulatory or internal audit review.
Improve explanation of benefits for healthcare claims with natural language based on medical policies.
What’s included in the QuickStart Pack?
- Consultation on architecture & design
- Questionnaire to generate needed artifacts
- Process steps to execute a custom PoC
Let's get started
Drop us a mail or give us a call for a personalized demonstration of Modernized Decisioning on IBM Z
