Measure & enhance AI Adoption in your business| ProHance

Why AI ROI Tracking Is Broken

Adoption Is Accelerating. ROI Is Still Guesswork

AI adoption is accelerating across the enterprise. Teams are experimenting with new tools, budgets are growing, and organisations are investing heavily to stay competitive. But when leadership asks the question that matters most is AI actually changing how we work and delivering measurable value? many still struggle to answer with confidence.

The Layer Between Use and Value Is
Missing

Existing metrics only tell part of the story. Vendor dashboards show tool activity. Engineering systems report outputs. But neither captures the layer in between how AI is being integrated into day-to-day workflows, where it is creating meaningful change, and where adoption remains superficial.

Governance Is Running on Assumptions, Not Evidence

Without that visibility, AI governance relies on assumptions rather than evidence, and investment decisions become harder to justify. High usage does not translate into high impact, and licence counts alone cannot explain whether AI is improving productivity or business outcomes.

One View to Connect Adoption, Productivity, and Governance

The result is a measurement gap. Organisations know what they spend and can see AI is being used, but lack a clear view of how those investments shape work, performance, and value. The AI Adoption Index closes that gap connecting adoption with workflow change, productivity outcomes, and governance in a single view.

Measure AI Adoption Beyond Usage Metrics

The AI Adoption Index (AAI) is ProHance s answer to one of the biggest challenges in enterprise AI: understanding whether investment is translating into meaningful business value. It provides leaders with a clear view of how AI is being adopted across the organisation, how it is changing the way work gets done, and where programmes need attention to maximise impact.

Rather than focusing solely on tool activity or licence utilisation, AAI connects AI adoption to workflow evolution, productivity outcomes, financial value, and governance insights. It helps organisations distinguish between superficial usage and genuine operational transformation, giving decision-makers the evidence they need to scale AI with confidence.

Built on ProHance s workforce intelligence capabilities, AI Adoption Index brings together multiple dimensions of adoption in a single view.

AI Adoption Maturity Framework

AAI organises AI adoption maturity into four stages, giving leadership a single consistent framework for reading where each team sits and what the path forward looks like. The framework applies across business units, functions, and geographies.

01 Access

AI tools deployed and usage is being captured at depth, not just licence counts, but actual engagement patterns across
roles.

AAI MEASURES

Usage depth, deployment breadth

LEADERSHIP QUESTION

Where are teams actually in the journey?

02 Integration

AI is present in real work sequences, not just accessed occasionally. Early productivity signals are visible, though outcomes are still inconsistent.

AAI MEASURES

Workflow change vs. surface usage

LEADERSHIP QUESTION

Which teams need intervention vs. are scaling?

03 Co-Execution

Throughput and cycle time gains are consistent. Human effort is measurably moving from routine execution toward higher-value work.

AAI MEASURES

Throughput, cycle time, human reallocation index

LEADERSHIP QUESTION

Are efficiency gains translating into outcomes?

04 Orchestration

Investment decisions are
grounded in evidence. Dollar
value attributed to AI investment is visible, auditable, and defensible.

AAI MEASURES

Dollar value attributed to AI investment

LEADERSHIP QUESTION

Where should we scale vs. where should we stop?

    What most organisations miss:
    Real enterprise value is only realised at Stage 3 ? Stage 4.
    Most AI programmes still at Stage 2, and the teams running them don't know it,
    because Stage 2 still produces positive usage metrics.

Purpose-Built Dashboards, One
Source of Truth

Three purpose-built views. One trusted source of truth. Explore AI adoption, financial impact, and governance through dashboards that help leaders make confident, data-driven decisions.

Adoption Overview

Track AI maturity across teams, identify adoption gaps, and prioritise targeted interventions to accelerate enterprise-wide progress.

Financial ROI

Measure the business impact of AI investments with visibility into capacity recovered, operational efficiency, and team-level value creation.

Governance Dashboard

Maintain continuous oversight of enterprise AI usage with insights into approved tools, shadow AI, audit readiness, and compliance health.

Team Compass

Go beyond traditional productivity metrics with insights into AI leverage ratio, workflow transformation, and the shift of human effort to higher-value work.

The CXO and Board View

As AI investments grow, leadership teams need more than adoption metrics they need confidence that those investments are delivering measurable business value and being governed responsibly.

The AI Adoption Index brings together adoption, financial impact, and governance in a single executive view, helping CXOs and boards understand where AI is creating value, where programmes require intervention, and where future investments should be directed. By connecting workflow intelligence with business outcomes, AAI enables data-driven decisions rather than relying on assumptions or isolated tool metrics.

THE QUESTION LEADERSHIP ASKS

THE DECISION AAI ENABLES

Are our AI investments creating measurable business value?

Prioritise investments that deliver the greatest impact.

Which teams are successfully embedding AI into their workflows?

Scale successful adoption patterns across the organisation.

Where is adoption slowing or underperforming?

Target interventions and support where they are needed most.

Are employees using approved AI tools in line with governance policies?

Strengthen oversight and reduce compliance risk.

Do we have the evidence to report AI outcomes confidently to leadership and the board?

Make strategic decisions backed by trusted operational data.

Frequently asked questions

AAI measures how AI is being adopted across your organisation and how that adoption translates into business value. It combines insights on workflow integration, productivity, financial impact, and governance to help leaders understand where AI is creating measurable outcomes and where additional focus is needed.

Vendor metrics focus on usage. AAI focuses on outcomes, productivity, business value and governance impact.

Shadow AI refers to unapproved AI tool usage that can create compliance, security and governance risks.

Contact our team to schedule a demo and learn more about AAI.

From AI spend to AI accountability

Why AI ROI Tracking Is Broken

Adoption Is Accelerating. ROI Is Still Guesswork

The Layer Between Use and Value Is
Missing

Governance Is Running on Assumptions, Not Evidence

One View to Connect Adoption, Productivity, and Governance

Measure AI Adoption Beyond Usage Metrics