published
Complete Version 1.0 master document.
Alignment
Connect AI ambition to enterprise strategy, executive ownership, priorities and operating decisions.
Dimension version v1.0
Definition
Connect AI ambition to enterprise strategy, executive ownership, priorities and operating decisions.
Contents
The complete document structure, including its introduction, chapters and closing sections.
—Introduction and source informationAI creates sustainable value only when it is connected to how the organisation sets direction, makes decisions and operates. Alignment prevents technically impressive initiatives from becoming disconnected pilots and turns AI into a strategic capability.—A – AlignmentAlignment connects AI to the organisation's approved strategy, investment choices and decision system. Without that connection, technically credible initiatives can remain isolated from how the organisation competes, grows and operates. Alignment therefore treats AI as an enterprise capability with explicit direction, ownership, boundaries and evidA.1A.1 Strategy & VisionThis section determines whether the organisation has converted its enterprise strategy into a decision-guiding AI direction. It examines the AI North Star, strategic outcomes, assumptions, boundaries and planning artefacts together so that AI choices can be traced to the strategy already in force. A.1 is the authoritative source for AI North Star, A.2A.2 Ownership & Executive GovernanceThis section determines whether material AI decisions have explicit authority, evidence, timing and follow-through. It examines executive outcome ownership, DACI decision rights, AI decision roles, Autonomy Appetite, escalation and review rhythms as one decision architecture. A.2 is the authoritative source for these governance definitions, includiA.3A.3 AI Roadmap & PrioritisationThis section determines whether the AI roadmap operates as a learning and investment system. It examines opportunity hypotheses, multi-dimensional prioritisation, the Intake-Explore-Validate-Scale-Retire flow, evidence gates, WIP, enabling dependencies, portfolio balance and Strategic Alignment Risk. A.3 is the authoritative source for portfolio poA.4A.4 Alignment with Business UnitsThis section determines whether enterprise AI intent can be translated into locally meaningful outcomes without losing common guardrails, decision standards or shared capability leverage. It examines business-unit value framing, outcome ownership, central–local boundaries, capability contracts, readiness and cross-unit learning.A.5A.5 Strategy–Operations ConnectionThis section determines whether strategic AI intent can be traced into portfolio choices, operational work and decision evidence—and whether learning from execution can change strategy in return. It examines strategic themes, outcome-to-work traceability, planning integration, delegated decisions, operating layers and feedback loops.A.6A.6 Alignment Communication & Change ManagementThis section determines whether people can make coherent sense of AI direction, uncertainty, role consequences and trade-offs as the transformation evolves. It examines the ‘Why this AI, why now?’ narrative, audience translation, expectation curves, change capacity, visible progress and psychological safety. The Enablement Team defined in the Agent—Dimension Synthesis and Transformation RoadmapThe Alignment dimension should conclude with one transformation narrative, not six isolated section reports. The synthesis has five steps: judge the evidence, place the current state, decide the target, sequence the work and package the result. It should show where Alignment is strong or weak by operating layer—for example, a clear Strategy-layer N—Source headers, footers and notes—Practices & playbooksThe practical companion documents linked to this section.—Version historyChanges to this document, separate from the overall framework release history.
Related practices
PlaybookGuidance
Introduction and source information
This standalone catalogue shows how to assess, design and sustain Alignment through explicit decisions, small evidence-producing steps and closed learning loops. Each practice defines when to use it, the people and inputs required, the playbook steps, decision gates, measures and common failure modes.
Alignment
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-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-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-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-A05
AR-A05 · Executive Outcome Ownership Contract
Turn executive sponsorship into an explicit contract for enterprise outcomes, guardrails, major investment commitments and material exceptions, with routine decisions deliberately delegated.
Alignment
AR-A06
AR-A06 · Delegated Governance & Decision Mode Design
Translate enterprise Autonomy Appetite into decision delegation and human involvement so teams can move quickly within proportionate, observable boundaries.
Alignment
AR-A07
AR-A07 · Opportunity Hypothesis & Assumption Mapping
Frame each AI opportunity as a testable outcome hypothesis and expose the assumptions that must be learned before scale.
Alignment
AR-A08
AR-A08 · Multi-Dimensional AI Portfolio Prioritisation
Prioritise opportunities using value, feasibility, data, risk, ethics, adoption and strategic fit without averaging away critical constraints.
Alignment
AR-A09
AR-A09 · Learning-Driven Roadmap & Evidence Gates
Sequence AI investment through the canonical Intake, Explore, Validate, Scale and Retire states, with movement defined by evidence rather than output milestones alone.
Alignment
AR-A10
AR-A10 · Lean AI Portfolio Flow & WIP Limits
Manage AI work as a flow system with explicit states, entry/exit policies, WIP limits and active ageing decisions.
Alignment
AR-A11
AR-A11 · Business-Unit AI Translation Canvas
Translate enterprise AI intent into a business unit's outcomes, workflows, opportunity areas, guardrails and ownership without creating a separate local strategy.
Alignment
AR-A12
AR-A12 · BU Value Outcome & Benefit Framing
Define value in the business unit's own operational and financial terms and create a measurable benefit hypothesis with accountable ownership.
Alignment
AR-A13
AR-A13 · Federated Ownership & Shared Capability Contract
Define what the enterprise provides centrally, what business units own locally and how recurring demand becomes a reusable capability.
Alignment
AR-A14
AR-A14 · Business-Unit Readiness & Enablement Pull
Assess readiness as observable conditions and create a demand-led enablement plan that helps each business unit progress at the right pace.
Alignment
AR-A15
AR-A15 · Strategy-to-Portfolio-to-Backlog Traceability
Create a lightweight trace from strategic intent through outcomes, portfolio decisions, hypotheses and backlog work to operational evidence.
Alignment
AR-A16
AR-A16 · AI OKR & Outcome Review Design
Design OKRs and review routines that separate outcomes, learning, operational health and delivery evidence across AI maturity stages.
Alignment
AR-A17
AR-A17 · Operational Learning-to-Strategy Loop
Convert operational evidence into portfolio and strategy decisions while filtering noise and preserving accountable interpretation.
Alignment
AR-A18
AR-A18 · “Why This AI, Why Now” Narrative
Create a credible initiative narrative that explains the problem, timing, outcome, uncertainty, trade-offs and non-goals without hype.
Alignment
AR-A19
AR-A19 · Role-Based Alignment & Change Impact Mapping
Translate one coherent AI intent into role-specific impacts, choices, support and feedback without fragmenting the strategy.
Alignment
AR-A20
AR-A20 · Expectation, Fatigue & Psychological Safety Pulse
Continuously sense expectation gaps, change overload, silent non-adoption and the safety to surface uncertainty, errors and ethical concerns.
Alignment
AR-A21
AR-A21 · Strategic Alignment Risk Sensing & Reset
Continuously sense when AI direction, ownership, portfolio choices, autonomy or change demand drift from enterprise intent, then trigger a proportionate alignment reset.
Alignment
PlaybookGuidance
Operating Rhythms
Practices create capability; rhythms keep alignment alive. AR-R06–AR-R11 are alignment decision conversations, triage and reset patterns designed to run inside the organisation's existing Strategy, Portfolio, Value Stream, Agentic Networks and Team cadences. They do not create a parallel meeting architecture. Combine forums when the same decision-m
Alignment
AR-R06Rhythm
AR-R06 · Weekly Alignment Flow & Blocker Triage
Resolve ownership, dependency, capacity and decision blockers that prevent the next evidence step.
Alignment
AR-R07Rhythm
AR-R07 · Biweekly Hypothesis & Evidence Conversation
Review assumptions and evidence, then decide whether to continue, pivot, add evidence, pause or stop.
Alignment
AR-R08Rhythm
AR-R08 · Monthly AI Portfolio Flow & WIP Conversation
Balance investment, capability demand and change capacity while managing WIP, ageing and portfolio mix.
Alignment
AR-R09Rhythm
AR-R09 · Monthly Decision & Governance Health Conversation
Improve decision speed and accountability by reviewing latency, reversals, escalations, exceptions and evidence quality.
Alignment
AR-R10Rhythm
AR-R10 · Quarterly Strategy, OKR & Roadmap Reframing
Reframe strategic themes, OKRs, portfolio balance and roadmap investment from accumulated evidence.
Alignment
AR-R11Rhythm
AR-R11 · Trigger-Based Alignment Reset
Restore coherent intent, authority and communication after a material strategy, risk, evidence or change event.
Alignment
PlaybookTemplate
Minimum Consulting Templates
These templates define the minimum reusable artefacts for consistent Alignment work. They may be implemented in documents, workflow systems or delivery platforms as long as their fields and decision intent are preserved.
Alignment
PlaybookGuidance
Consultant Application Guidance
Rate the capability according to the strongest evidence demonstrated consistently across the assessed scope, not the most mature isolated example.
Alignment
PlaybookGuidance
Source headers, footers and notes
Alignment
Dimension version history
This history belongs to Alignment. Overall framework releases are recorded separately in Framework release history.