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Framework overview

Practices & Playbooks

Applicable methods that turn the framework into day-to-day work.

190 results

AR-A01

AR-A01 · Strategic Intent & AI North Star Design

Create an outcome-led AI North Star that guides choices, sets boundaries and connects AI ambition to the enterprise strategy already in force.

Alignment

AR-D01

AR-D01 · Decision-to-Data Dependency Mapping

Expose the data, knowledge, rules and context on which a priority decision or AI-enabled workflow depends, establish what must be kept out of it, and connect each dependency to its business consequence.

Data

AR-E01

AR-E01 · Ethical Charter and Non-Negotiables Workshop

Turn enterprise values, duties and risk appetite into a short decision charter that teams can apply to real AI use cases and agent actions.

Ethics

AR-IM01

AR-IM01 · Strategic Value Intent Canvas

Translate an enterprise priority into a bounded AI value thesis before a solution, vendor or model becomes the organising idea. The canvas makes the intended advantage, beneficiary, time horizon and non-negotiable constraints explicit.

Impact

AR-I01

AR-I01 · Enterprise Real-Flow Discovery

Reveal how work actually moves across people, teams and systems, including where the lived flow diverges from the documented process and where hidden work, waits, handoffs and friction shape the outcome.

Integration

AR-V01

AR-V01 · Role-Based AI Literacy Baseline

Establish the minimum role- and context-aware AI literacy needed for responsible participation before deeper capability pathways are designed in AR-V21 and AR-V22.

Values

AR-A02

AR-A02 · AI-to-Strategy Outcome Mapping

Map how AI could influence strategic outcomes and identify the causal assumptions and evidence required before investment.

Alignment

AR-D02

AR-D02 · Critical Asset and Ownership Mapping

Use when critical assets are orphaned, ownership is system-based, issue resolution stalls or multiple domains claim authority.

Data

AR-E02

AR-E02 · Stakeholder and Human-Rights Impact Assessment

Identify and manage actual, potential and cumulative impacts on people, groups, society and the environment across the AI lifecycle.

Ethics

AR-IM02

AR-IM02 · Business-to-AI Outcome Chain

Make the causal path from AI capability to enterprise value inspectable. The chain separates technical performance from human adoption, workflow change, intermediate outcomes and realised business effects.

Impact

AR-I02

AR-I02 · Bounded Goal and Trajectory Review

Review goal-directed AI-enabled work where the execution path is composed at run time, establishing whether the operating boundary is explicit and the resulting trajectory can be reconstructed.

Integration

AR-V02

AR-V02 · AI Output Sensemaking and Calibration

Give teams a repeatable method to interpret confidence, uncertainty, context sensitivity and limitations before acting on AI outputs.

Values

AR-A03

AR-A03 · Strategic Themes, Guardrails & OKR Translation

Translate the AI North Star into a small set of durable themes, measurable outcomes and guardrails that portfolios and teams can use.

Alignment

AR-D03

AR-D03 · Semantic Context Mapping

Define the meanings, relationships, temporal conditions and context signals an AI-supported decision must understand.

Data

AR-E03

AR-E03 · Non-Delegable Decision and Accountability Design

Within the established decision architecture, make human outcome ownership, non-delegable decisions and the boundaries of AI or agent delegation explicit in the real workflow.

Ethics

AR-IM03

AR-IM03 · Indicator Map

Create a balanced signal system that connects early indicators to lagging outcomes while protecting quality, safety and stakeholder value. The map clarifies which signals support learning and which justify value claims.

Impact

AR-I03

AR-I03 · AI Presence and Participation Depth Review

Identify where AI participates in the flow, classify its operational role and establish how deeply subsequent work, decisions or actions depend on that participation.

Integration

AR-V03

AR-V03 · Human-AI Override & Escalation Readiness

Build the understanding, confidence and practiced behavior required to act within decision, override and escalation mechanisms defined by Alignment and Architecture & Rhythm.

Values

AR-A04

AR-A04 · AI Decision Architecture & DACI

Make material AI decisions visible and assign one Driver, one Approver, required Contributors and transparent Informed roles.

Alignment

AR-D04

AR-D04 · Data Fitness-for-Decision

Set and test decision-specific quality, freshness and latency requirements linked to business impact.

Data

AR-E04

AR-E04 · Contestability, Recourse and Remedy Design

Give affected people a practical way to understand, challenge, correct and obtain review or remedy for AI-influenced outcomes.

Ethics

AR-IM04

AR-IM04 · Outcome Ownership Charter

Establish who is accountable for benefit realisation and who controls the operational changes required to produce it. The charter prevents responsibility from collapsing into a generic project or technology role.

Impact

AR-I04

AR-I04 · Decision Point and Decision-to-Action Mapping

Make critical decisions, ownership, AI influence and downstream action paths visible.

Integration

AR-V04

AR-V04 · Shared AI Language and Living Case Library

Create a small shared vocabulary and a living library of context-rich cases that anchors discussions in observable work.

Values