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Case Study: Fintech Startup
Industry: Finance Headline outcome: Connected 5 databases in a single day. Saved 3 months of estimated development.
The Problem
A growing fintech startup had data spread across 5 systems: PostgreSQL for transactions, MySQL for legacy account data, BigQuery for analytics, MongoDB for KYC documents, and a SaaS support tool. Their original plan was to build a custom RAG and orchestration layer in-house. Initial estimates put the build at 3 months of engineering time before they could even start delivering business value.
The Approach
Instead of building, they bought Enterprise tier:
- Data Connectors for all 5 sources, configured in a single day
- Advanced matrix RBAC: regulators, internal auditors, compliance officers, and customer ops each saw the slice they were entitled to
- Agentic Workflow for the recurring "month-end reconciliation" pattern that previously took days of analyst time
- Monitoring on every employee query to satisfy compliance review requirements
The Result
- All 5 databases connected and indexed in 1 day
- 3 months of development effort skipped
- The compliance team had a single audit log to query instead of pulling from 5 sources
- A production-ready agent for month-end reconciliation by week 2
What Made It Work
- Out-of-the-box connectors for PostgreSQL, MySQL, BigQuery, and MongoDB
- Matrix RBAC handled the multi-stakeholder permission story
- Monitoring and audit logging satisfied the compliance officer's bar from day one