Scaling a Multi-Agent App Platform with Databricks @ SKULD

How we designed, scaled, and shipped a multi‑agent AI app platform for Skuld—built 100% natively on Databricks—and the unified App + AI + Data patterns that made it possible. Maritime insurance claims depend on shifting legal facts, mixed‑format case files, and strict audit requirements, and standard chunking plus top‑k filtering lost provenance and broke under load. At Skuld, we built a multi‑agent app on Databricks: Lakeflow Jobs runs parsing and enrichment pipelines, Model Serving powers synchronous agent calls, Databricks Apps handles secure user workflows, and Unity Catalog governs access end to end. The talk dives into our evidence‑first retrieval pattern, where documents become source‑linked fact cards, conflicting facts stay visible for review, and agents return exact citations instead of opaque answers. Attendees leave with a hosting decision framework and benchmark data on parsing throughput, queues, token cost, rate limits, and latency.