Framework
The Three Stages of Data Intelligence
Most companies are stuck at Stage 1. The real value - and the real competitive advantage - lives in Stages 2 and 3.
How it works
- 1Stage 1 - Retrospective: What happened? This is standard reporting. It is slow, painful, and most companies never get past it.
- 2Stage 2 - Predictive: What is going to happen? Your data already knows your capacity is about to collapse. It knows where you are bleeding before you feel the cut.
- 3Stage 3 - Prescriptive: What should we do about it? Agents that notice an upcoming capacity crunch - vacations + increasing inbound calls - and proactively suggest solutions before the problem becomes a loss.
- 4Burak's example: an agent that sees two weeks of upcoming team vacations coinciding with a projected sales call surge and surfaces the conflict before a single deal is lost.
- 5The question to ask your data every morning: what do you already know that I have been too afraid to ask?
Hear it on the podcast
The AI Analyst That Never Sleeps: Burak Karakan of BruinListen to the episodeMore from this episode
The Centralized Data LayerOne AI data analyst serving the whole company beats fifteen teams building their own agents from different sources.Build for Agents, Not Just HumansAgents have fundamentally different interface preferences than humans. Designing for both requires treating them as separate audiences.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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