Frametric: Decision Intelligence Briefings

RAG lets AI access your data. But retrieval without governance is just hallucination with sources.

AI does not solve trust problems. It amplifies them.

Most analytics is built to produce reports. Decision-first analytics is built to answer questions that matter, with evidence you can act on.

Horizontal BI assumes clean warehouses and technical users. Vertical platforms have operational data, domain complexity, and teams that need answers, not SQL.

Decision intelligence is the layer between data and action. It turns questions into investigations you can trust enough to act on.

Snowflake and OpenAI just announced native integration. It validates the direction. But plumbing is not the same as product.

Why the next wave of AI is not general assistants. It is specialists that do one job brilliantly, with evidence you can trust.

OpenAI's in-house data agent write-up is a useful blueprint. The real lesson is not about the model. It is about context, governance, and repeatability.

Most analytics systems break slowly. Not with an error, but with silent changes that shift meaning over time.

Demos are easy. Production is where AI analytics meets messy data, changing schemas, and accountability.

Before models, prompts, or dashboards, you need data you can trust. Validation is how you prevent silent failures and keep AI analytics accountable.

Welcome to Frametric Audio. In this introductory episode, we set the stage for what Frametric is building and why it matters for the future of decision intelligence.