AI Strategy Road Map Template - By Designing AI Heroes

Sep 11, 2026

Uploaded by Cipher

A structured, actionable AI strategy framework that helps organisations build an aligned roadmap spanning strategy, people, and processes. It guides teams through current state AI assessment, including capability inventory, expertise evaluation, and readiness scoring. It then maps strategic objectives using business goals, value drivers, and stakeholder priorities, followed by use case development and prioritisation through impact, feasibility, and risk evaluation. The roadmap supports timeline planning, enablement, communication, tracking, and continuous improvement as a living document.

LanguageEnglish

CategoryPresentations

FormatPDF

Pages15

Reading Time5 min

AccessFree to download

Purpose of this Framework

Note

Current State Assessment (Status Quo)

How to analyse your AI Capabilities

Key Questions

Strategic Objective Mapping

How to set strategic objectives

Objectives Planning Table

Use Case Development & Prioritisation

How to analyse use cases

Use Case Evaluation Framework

AI Strategy Road map Template By Designing AI Heroes Purpose of this Framework This framework helps organisations develop a structured, actionable roadmap for applying AI and staying aligned with strategy, people, and processes. Note This roadmap is a living document. Adjust it based on new insights, learnings, and AI developments. Pair it with your AI Maturity Assessment results to track progress over time. Use it in strategy meetings, innovation workshops, and executive updates. You will ﬁnd: 1. Current State Assessment (Status Quo) 2. Strategic Objective Mapping 3. Use Case Development & Prioritisation 4. Roadmap & Timeline Planning 5. Tracking & Continuous Improvement 6. Enablement & Communication 1 Current State Assessment (Status Quo) How to analyse your AI Capabilities Current AI Implementation Inventory Document any existing AI projects (operational, in development, or failed) . Evaluate the integration of AI with core business processes. AI Expertise Evaluation Map internal AI and data science expertise. Identify skills gaps and training needs. Assess data literacy across the organisation. Evaluate leadership's understanding of AI capabilities and limitations. AI Readiness Scoring and AI Maturity Index Develop a scoring mechanism to rate organisational readiness for AI. Benchmark against industry standards and competitors. Identify critical bottlenecks and enablers. Key Questions: Which areas or processes show potential for AI? What AI initiatives, tools, or pilots are already in place? What is our AI maturity level? What internal capabilities (data, people, tech) do we already have? Self-Assessment Table: | Dimension | Current Status | Notes / Gaps | | --- | --- | --- | | Data Readiness | | | | Technical Stack | | | | Organisational Buy-in | | | | Skills & Knowledge | | | | Existing Initiatives | | | 2 Strategic Objective Mapping How to set strategic objectives Business Goal Articulation Conduct workshops with executive leadership to clarify strategic priorities. Document key performance indicators for the business. Identify critical business challenges and growth opportunities. Determine tolerance for risk and innovation. Value Driver Identiﬁcation Map how AI could impact key value drivers (revenue growth, cost reduction, risk mitigation) . Prioritise business areas with the highest potential impact. Identify "quick wins" vs. transformational opportunities. Document relevant industry benchmarks and competitive advantages. Stakeholder Mapping Identify key stakeholders across departments and their priorities. Document decision-making processes and authority structures. Assess change management readiness and potential resistance points. Develop communication strategies for diĊerent stakeholder groups. Strategic Objective Mapping-Critical Questions Business Goal Articulation What does AI success look like for us? What is our 6-12 month AI vision? What are the top 3-5 strategic priorities for our organisation over the next 1-3 years? Which speciﬁc metrics deﬁne success for our organisation right now? What are our biggest competitive threats or market challenges? Where are we experiencing the most signiﬁcant operational pain points? How does our leadership team deﬁne innovation, and what is our risk tolerance? Value Driver Identiﬁcation Which business processes have the highest operational costs orineċciencies? Where do we see the greatest opportunity for revenue growth or margin improvement? Which areas of our business could beneﬁt most from improved decisionmaking? What customer experience issues are impacting retention or satisfaction? Which compliance or risk management challenges are most pressing? What would a 10% improvement in [speciﬁc area] mean ﬁnancially? Stakeholder Mapping Who will be most aĊected by AI implementations

FAQs

What does this AI Strategy Roadmap Framework help organisations achieve?

It provides a structured, actionable roadmap for applying AI while staying aligned with strategy, people, and processes, and tracking progress over time.

What steps are included in the current state assessment?

It covers current AI implementation inventory, evaluation of AI and data expertise, and readiness scoring using an AI maturity index and related bottleneck/enabler checks.

How are AI use cases evaluated and prioritised?

Use cases are assessed via an impact matrix (business impact and strategic alignment), feasibility analysis (technical and data requirements), and risk evaluation (implementation risks).

Sep 11, 2026

Uploaded by Cipher