AI GROWTH VECTORS

Three ways organizations create enterprise value with AI

Enable People
Reinvent Work
Engineer Growth
Productivity
Operating model
Revenue / differentiation
Fast wins
Scaled impact
Strategic upside
VALUE, MATURITY, AND COMPLEXITY INCREASE
Horizon 1

AI Enablement

Equip the workforceRisk: Low

How do we equip our workforce?

An organization-wide effort to equip every employee with the right AI copilots for their specific role — developers get coding assistants, marketers get content tools, analysts get research synthesis. This includes the tools, skills, governance, and support people need to safely and effectively use AI in their daily work. The common thread is individual productivity at the task level. Quick wins, low risk, fast time-to-value. This is where every company starts.

Value Delivered

Productivity

Typical Plays

AI coding assistants (GitHub Copilot, Cursor, Claude Code)Knowledge assistants (ChatGPT Enterprise, Claude for Work, M365 Copilot)Internal-knowledge assistants (RAG over enterprise docs)Content drafting & summarizationRole-specific research & analyst copilots
Horizon 2

Operational Reinvention

Redesign workflowsRisk: Low to Medium

How do we rewire how we operate?

Redesign entire workflows and processes from scratch, assuming AI is the default — not adding an AI step to an existing process, but rethinking the end-to-end with AI at the core. This is where you move from making individual tasks faster to fundamentally transforming how the organization operates. Efficiency gains from AI Enablement fund and de-risk these investments. Higher risk, bigger payoff.

Value Delivered

Efficiency, quality, speed

Typical Plays

AI-augmented customer service & supportAI-driven shared services (finance, HR operations)AI-native compliance & audit workflowsCross-functional process automationAgentic workflow orchestration
Horizon 3

Revenue Engineering

Create new growthRisk: Low to High

How do we create new value with AI?

Use AI to create, enhance, sell, personalize, and monetize products and services — driving measurable business growth. This spans new AI products, AI features in existing products, sales and marketing productivity, customer retention, and new business models like usage-based pricing or data products. Requires organizational maturity from the first two stages.

Value Delivered

Revenue, retention, growth

Typical Plays

AI-powered product features & enhancementsNew AI-native product linesAI-driven customer experience & personalizationIntelligent pricing & market expansionAI-as-a-service offerings
Bottom Line(Control Costs)
Top Line(Drive Revenue)
Cross-Horizon KPIs
Adoption
ROI
Speed
Scale
Risk
Quality
Revenue Impact
Foundation Required Across All Horizons
Data
Platforms
Security
Governance
Change Management
Value Tracking
AI Growth Vectors - AI Transformation Framework

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