AskPorto — a Unified Agentic AI Solution for Data Analytics and Discovery

The Central Provident Fund Board (CPFB), Singapore’s social security agency, manages complex data across multiple business lines with unique analytical requirements despite centralising on Databricks Lakehouse. Users struggled with traditional querying methods and fragmented governance documentation across multiple sources, creating analytical silos. Employees needed intelligent systems capable of querying multiple sources without technical expertise, requiring contextualised responses understanding domain-specific terminology and automatic validation. Solution: unified conversational interface with multi-agent orchestration built on Databricks architecture. Orchestrating AI routes queries to specialised agents — Databricks Genie for contextualised data answers, Purview for metadata discovery, RAG-powered agents for governance knowledge — whilst maintaining audit trails and compliance. Stakeholders access comprehensive insights via conversational queries with automated accuracy checks.