Framework
The Centralized Data Layer
One AI data analyst serving the whole company beats fifteen teams building their own agents from different sources.
How it works
- 1When every team spins up its own AI agent, each pulls from different data sources and generates different answers. Sales doesn't match Marketing. Marketing doesn't match Ops.
- 2A centralized analyst gives every person and every agent in the company access to the same reliable source of truth.
- 3It also creates visibility: you can see who is asking what, where data governance gaps exist, and where teams are making decisions on bad numbers.
- 4Bruin replaces 15 competing internal products with one that onboards in two minutes and returns answers in 90 seconds.
- 5The moat is not just speed - it is trust. Traceable, verifiable answers that teams can actually act on.
Hear it on the podcast
The AI Analyst That Never Sleeps: Burak Karakan of BruinListen to the episodeMore from this episode
Build for Agents, Not Just HumansAgents have fundamentally different interface preferences than humans. Designing for both requires treating them as separate audiences.The Three Stages of Data IntelligenceMost companies are stuck at Stage 1. The real value - and the real competitive advantage - lives in Stages 2 and 3.Agent Access Control as a Safety FoundationYou cannot let agents go wild if they have read-only access to two tables. Granular permissions are the foundation of safe agentic deployment.
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