According to a recent LinkedIn post from Supabase, marketing platform Brevo has implemented three production artificial intelligence workflows that connect its CRM to Dust’s AI agents via Supabase MCP, reportedly without requiring engineering resources. The post describes use cases such as personalized outreach, customer insight generation, and automated marketing plan creation.
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The LinkedIn post also notes that Dust’s engineering team views Supabase as the first data platform on which they enabled both read and write capabilities through natural-language interaction. The post suggests that Supabase’s Postgres-based architecture may enable relatively rapid extension of new use cases with minimal re-architecture, potentially reinforcing its position in the developer-oriented data platform market.
If such AI-driven workflows gain broader adoption, Supabase could benefit from increased usage intensity and stickiness among enterprise customers seeking to operationalize AI on top of transactional data. For investors, the example may indicate growing traction in AI-native workflows and a competitive advantage in enabling natural-language data operations, which could support higher long-term monetization per customer.