Show HN: Milo – agentic GenBI (What –> Why –> Done in minutes, not days) (genbi.autonomousminds.ai)

Milo is a Show HN demo for an "agentic GenBI" — a generative business-intelligence analyst that promises to take you from "What happened?" to "Why it happened" in minutes instead of days. The short landing flow invites users to sign up for a free demo, log in, or contact sales, and includes basic UX elements like feedback and rating. The core pitch is an autonomous, agent-style assistant that performs multi-step analysis (the “What → Why → Done” workflow) so non-expert users can get actionable explanations quickly without building complex queries or reports. For the AI/ML community this is notable because it applies agentic LLM patterns to BI: chaining retrieval, reasoning, and tool use to automate exploratory analysis and diagnostics. If Milo delivers, it could meaningfully speed decision loops, lower the barrier to data insights, and shift BI work from dashboard-building to agent supervision. Key technical implications to watch: how Milo integrates with data connectors, what retrieval and grounding strategies it uses to avoid hallucination, how it composes multi-step reasoning (agents, planner/solver patterns), and what guardrails exist for accuracy, privacy, and auditable explanations. The demo is worth a look, but teams should validate provenance, reproducibility, and security before trusting mission-critical analytics to an agentic system.