According to a recent LinkedIn post from Supabase, customer Brevo has implemented three production AI workflows that connect its CRM to Dust’s AI agents via Supabase MCP, reportedly without relying on engineering resources. The post indicates these workflows support personalized outreach, customer insight generation, and marketing plan creation using natural-language interactions with Supabase as the data layer.
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The post also cites Dust’s engineering team as describing Supabase as the first data platform where they enabled both read and write capabilities through natural language. By emphasizing that Supabase runs on Postgres and can be extended through new tables and updated agent prompts without major re-architecture, the content suggests a scalable path for additional AI-driven use cases.
For investors, this example may signal growing traction for Supabase in AI-enabled, production-grade workflows that integrate operational systems such as CRMs. Demonstrated ability to support non-technical teams in deploying AI workflows could expand Supabase’s addressable market and deepen its role in data infrastructure for AI applications.
The post further implies that Supabase’s Postgres-based architecture may reduce integration friction for partners and customers building AI agents, potentially strengthening its competitive positioning versus other data platforms. If similar deployments are replicated across more enterprise customers, this approach could support higher usage, stickier customer relationships, and incremental revenue growth over time.