Multi-Dimensional Value Model

The Multi-Dimensional Value Model examines financial, operational, stakeholder, decision, risk and capability effects together. It records positive and negative consequences, who experiences them and where a gain transfers effort or exposure to someone else.

AI transformation can affect financial, operational, customer and human outcomes. Examine these effects together, including tradeoffs and unintended consequences.

Why this matters

A single aggregate return can hide poor service, exclusion, displaced work or loss of capability. Some boundaries remain non-negotiable even when the financial case is attractive.

Questions to bring to the work

• Which group gains, and who absorbs new work, cost or risk?
• Which benefit is financial, operational, experiential, protective or a reusable capability?

Explore this chapter

Distinguish attributable revenue, margin, cash flow, verified savings and usable capacity, keeping gross, net, recurring and one-off effects separate.

Measure end-to-end flow, quality, reliability and variability, including handoff burden and downstream work displaced by the intervention.

Assess experience, accessibility, trust, autonomy and burden directly rather than inferring stakeholder value from internal productivity.

Test whether human–AI decisions improve quality and timeliness under real conditions while retaining explanation, challenge and reversibility.

Examine reduced likelihood or severity of loss together with recovery, safe degradation and resilience, making valuation uncertainty explicit.

Recognise reusable data, evaluation, skills and learning assets when there is evidence of their contribution or a validated future option.

Record harms and unintended consequences alongside benefits; an aggregate gain cannot erase a non-negotiable constraint or another group’s burden.

What useful evidence looks like

• A value and disbenefit map with affected groups, horizons and trade-offs.
• Flow, decision-quality, stakeholder and risk measures alongside the financial baseline.

Move from understanding to practice

Framework source

Editorial adaptation from the supplied AIDIVE Version 1 master documents.

• AIDIVE Impact Dimension Version-1.docx · I.2 Multi-Dimensional Value Model; AIDIVE Impact - Practices & Playbook Version-1.docx · AR-IM05, AR-IM07, AR-IM08, AR-IM09

Impact

Put AI transformation
into practice.

Build capability through training, contribute your expertise or explore a connected workspace for applying the holistic AIDIVE framework.

Build the capability.

Develop the skills to connect AI transformation strategy, business outcomes, people and governance to your own decisions and responsibilities.

Grow the practice.

Bring your learning, delivery or research expertise to the holistic AIDIVE approach to enterprise AI transformation.

Bring AIDIVE into your work.

See how the proposed workspace could connect AI transformation learning, maturity evidence and practical artifacts.

There is more to explore.