Plain-Language SQL Analytics for Banking and Insurance

VigourSoft builds a plain-language query layer on Amazon Bedrock that translates business questions into validated SQL against your existing Amazon Redshift, Athena, or RDS data warehouse. The solution includes schema grounding, query-safety guardrails, and an optional QuickSight front end, so claims analysts, underwriters, and finance teams get self-service answers without waiting on a data team or risking ungoverned queries.

Scope of Work:

• Data warehouse and schema discovery, including access patterns and sensitive-data classification
• Prompt design and schema-grounding configuration for the Bedrock model
• Query validation, guardrails, and row/column-level access control mapping
• Front-end integration (chat interface and/or Amazon QuickSight experience)
• User-acceptance testing with representative business questions such as loss ratio, claims trend, and loan portfolio queries

Deliverables:

• Deployed query service integrated with the target data warehouse
• Guardrail and access-control configuration documentation
• Query accuracy benchmark report against representative business questions
• End-user quick-start guide

Target Audience: Banks, insurers, and other financial institutions with a mature data warehouse whose claims, underwriting, or finance teams depend on analysts for ad hoc reporting and want to reduce that turnaround with governed self-service analytics.

Outcome Summary: Business users can type a plain-English question into a chat or reporting interface and get back a correct, governed SQL result from their own warehouse. This means no new SQL training, no ungoverned data access, and no added headcount on the data team.