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Operating Architecture Canvas

A worksheet for separating model capability, workflow design, implementation scope, governance, and operating cadence.

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PDF · A4 · 4 pagesv1.235 minEN + FR available

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The exact sections inside the download.

35 min EN / FR
01

STEP 1: Separate the architecture layers

The model is not the operating system. A durable AI-native system separates infrastructure, decision architecture, context, orchestration, governance, and cadence.

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STEP 2: Choose the first workflow

The right first move is rarely the flashiest automation. It is the workflow where better context, review, routing, and cadence create visible operational leverage.

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STEP 3: Convert the canvas into a brief

A useful brief gives leadership enough structure to decide what to build, what to defer, and what must be governed before implementation.

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Operating thesis

What will become clearer, faster, safer, or more consistent if this workflow is structured?

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Context design

Which sources, memory rules, and evidence trails are required?

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Orchestration

Which tools, agents, approvals, or routing decisions need explicit contracts?

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Frame the decision

Name the real operating need before designing a solution.

Decision or workflow under pressure. Name the recurring operating moment that is slow, unclear, or inconsistent.

Context loss, manual routing, unclear ownership, repeated analysis, weak review, or slow handoff.

Decision quality, response time, review consistency, operating cadence, or governance readiness.

Infrastructure — Which models, databases, tools, or platforms are relevant but not sufficient on their own?; Architecture — What decision, context, orchestration, and governance design does the business need?; Implementation — Which app, workflow, dashboard, agent, or integration will express the architecture?; Operating cadence — How will the workflow be reviewed, improved, and governed over time?

How to use it

Start with one real decision.

Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.

Before you begin

The most consequential current AI signals for Canadian business leaders

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