Data Tiles
Academy GuideFramework · Framework 02

The Decision Intelligence Framework

A model that connects business outcomes, decisions, trusted data products, governance and AI — so every layer of the operating model serves the decisions that actually move the business.

9 min read
ByCameron PriceFounder & CEO, Data TilesCo-authored withJessie MoelzerHead of Brand & Strategic Marketing, Data Tiles9 min read

The premise

Decisions are the unit of value

Strategy creates outcomes. Outcomes are produced by decisions. Decisions are made by people, processes and — increasingly — AI agents. Everything below that line — data products, governance, tooling, AI — exists to make those decisions better, faster and more trusted. The Decision Intelligence Framework is the blueprint for connecting those layers.

The five layers

From outcome to action

  1. Outcomes. The measurable results the business has committed to — revenue, risk, cost, customer.
  2. Decisions. The specific, repeatable choices that move those outcomes. Each one is named, owned and measured.
  3. Trusted data products. The reusable, governed products that supply the data needed for each decision.
  4. Active governance. Policies and obligations applied at the moment of decision, for both humans and AI.
  5. AI and automation. AI agents, models and automation that operate on trusted data products under active governance.

How to apply it

Read the operating model top down, build it bottom up

Use the framework to interrogate any investment proposal. Which outcome does it serve? Which decisions does it improve? Which trusted data products does it require? Which governance does it demand? Which AI capability does it unlock? If any layer is missing or unowned, the investment is not yet ready.

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Bring this into your business

Use this thinking with your team in a focused working session — naming the decisions that matter, the data products that support them, and the governance posture required to move.

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