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AI Ambition is High ROI is Not

The Difference Isn’t Technology. It’s Maturity.

So How Ready
Are You?

AI works best when the foundation is solid. While 66% of CFOs expect meaningful AI ROI within the next two years, only 14% are seeing clear, measurable impact today. That gap shows up in data, systems, governance, skills, and value measurement.

Let’s take a closer look at where your organization stands. As you work through the checklist below, consider each diagnostic question and answer as honestly as possible.

Data Readiness

If challenged, could you confidently defend your data as accurate and consistent across the organization?

Low Maturity: Our data is siloed, inconsistent, and manual. Teams rely on different numbers, making reconciliation time-consuming.

Medium Maturity: We’ve cleaned core datasets with partial integration and emerging governance, but gaps still appear across systems.

High Maturity: Our data is unified, and trusted across the enterprise, providing a reliable source of truth for decisions and AI use cases.

Risk Readiness

Can you clearly explain how AI is governed, monitored, and managed for risk across the enterprise?

Low Maturity: We lack formal AI or data governance, with few defined policies or controls in place.

Medium Maturity: We have basic privacy and security controls, with early AI guidelines starting to form.

High Maturity: We operate with formal AI governance, defined controls, active monitoring, and compliance.

Process Readiness

If AI surfaced a recommendation, could you act on it without manual workarounds?

Low Maturity: Our processes are mostly manual, vary by team, and lack consistent documentation or standards.

Medium Maturity: We’ve automated some processes, but inconsistencies and handoffs still slow execution.

High Maturity: Our processes are standardized end-to-end, automated where possible, and enhanced with AI.

Talent Readiness​

Do your teams have the skills and support to use AI confidently and responsibly?

Low Maturity: We have limited AI skills, and change management is mostly reactive.

Medium Maturity: We’re building skills through targeted training, with AI champions in select areas.

High Maturity: We’ve embedded AI skills organization-wide, with clear adoption plans and cross-functional talent.

ROI & KPI Readiness

If pressed on value, could you point to clear metrics that show where AI is delivering impact—and where it isn’t?

Low Maturity: We don’t have a consistent way to measure or track AI ROI.

Medium Maturity: We track value for select pilots, but measurement isn’t consistent or scalable.

High Maturity: We use a formal KPI framework to guide AI investment and scaling.

System Readiness

Could your core systems support AI use cases today or would legacy complexity slow things down?

Low Maturity: We rely on legacy, customized, or disconnected systems that limit integration and scalability.

Medium Maturity: We’re modernizing core systems, with partial cloud adoption and growing API connectivity.

High Maturity: We operate on cloud ERP/EPM with strong integration, automation, and AI extensibility.

Data Readiness

If challenged, could you confidently defend your data as accurate and consistent across the organization?

Low Maturity: Our data is siloed, inconsistent, and manual. Teams rely on different numbers, making reconciliation time-consuming.

Medium Maturity: We’ve cleaned core datasets with partial integration and emerging governance, but gaps still appear across systems.

High Maturity: Our data is unified, and trusted across the enterprise, providing a reliable source of truth for decisions and AI use cases.

Risk Readiness

Can you clearly explain how AI is governed, monitored, and managed for risk across the enterprise?

Low Maturity: We lack formal AI or data governance, with few defined policies or controls in place.

Medium Maturity: We have basic privacy and security controls, with early AI guidelines starting to form.

High Maturity: We operate with formal AI governance, defined controls, active monitoring, and compliance.

Process Readiness

If AI surfaced a recommendation, could you act on it without manual workarounds?

Low Maturity: Our processes are mostly manual, vary by team, and lack consistent documentation or standards.

Medium Maturity: We’ve automated some processes, but inconsistencies and handoffs still slow execution.

High Maturity: Our processes are standardized end-to-end, automated where possible, and enhanced with AI.

Talent Readiness

Do your teams have the skills and support to use AI confidently and responsibly?

Low Maturity: We have limited AI skills, and change management is mostly reactive.

Medium Maturity: We’re building skills through targeted training, with AI champions in select areas.

High Maturity: We’ve embedded AI skills organization-wide, with clear adoption plans and cross-functional talent.

System Readiness

Could your core systems support AI use cases today or would legacy complexity slow things down?

Low Maturity: We rely on legacy, customized, or disconnected systems that limit integration and scalability.

Medium Maturity: We’re modernizing core systems, with partial cloud adoption and growing API connectivity.

High Maturity: We operate on cloud ERP/EPM with strong integration, automation, and AI extensibility.

ROI & KPI Readiness

If pressed on value, could you point to clear metrics that show where AI is delivering impact—and where it isn’t?

Low Maturity: We don’t have a consistent way to measure or track AI ROI.

Medium Maturity: We track value for select pilots, but measurement isn’t consistent or scalable.

High Maturity: We use a formal KPI framework to guide AI investment and scaling.

AI Maturity Model

This model reveals where readiness is breaking down and where momentum is building. We partner with you to close gaps and help you advance to the next stage of AI maturity. Your checklist results point to one of three stages and what it takes to move forward. Need help assessing your organization’s AI maturity?

Low Maturity
Fixing the Foundation		 Medium maturity
Building Fluency		 High Maturity
Achieving ROI
The org spends most of its time collecting data and fixing issues, so AI is not yet feasible. The org is modernizing and experimenting, AI momentum is building, but scaling is limited. The org becomes insights-driven and data becomes predictive, with AI delivering ROI and sustainable advantage.
  • Data is siloed, inconsistent, and manual
  • Processes rely on spreadsheets, email, and inconsistent workflows
  • Systems are legacy, customized, and difficult to integrate
  • Governance is minimal; few policies address AI, data privacy, or risk
  • Talent lacks AI fluency; change management is ad hoc
  • No consistent ROI measurement; AI discussions are exploratory

  • Data quality improving; partial integration and early governance in place.

  • Processes are becoming standardized with pockets of automation.

  • Systems modernizing; cloud adoption and API connectivity are emerging.

  • Governance frameworks forming (Al guidelines, security, risk assessments).

  • Talent development underway; Al champions and pilot teams appear.

  • ROI tracking exists for pilots but is inconsistent.
  • Unified, governed, high-quality data supporting advanced analytics
  • Automated, standardized, and AI augmented workflows
  • Modern, integrated, cloud-based systems with AI extensibility
  • Formal AI governance and risk management embedded across operations
  • Workforce is AI-fluent; adoption programs and skills are widespread
  • ROI/KPI framework consistently measures impact and guides investment

2X

$10B+ organizations achieve 2x higher AI ROI confidence through stronger structure.

Turn AI Readiness Gaps Into Measurable ROI

As you know, AI is a top priority for leaders, but turning it into ROI is harder than expected. At RGP, we help organizations close the readiness gap across data, systems, governance, talent, and value, so AI investments deliver real results. If you’d like to take a step closer to AI Readiness, we’d love to help.

If You Don't Trust Your Data...

We modernize and connect enterprise data into a defensible source of truth — so AI outputs are reliable, explainable, and decision-ready.

Services

Data Modernization
Data Governance Frameworks
Integration Architecture

If Legacy Systems Are Slowing AI Down...

We prepare and modernize core platforms (ERP, EPM, data layers) so AI can integrate, scale, and evolve without costly rework.

Services

ERP Readiness
AI Strategy
Platform Modernization

If AI Risk Feels Unclear to You...

We establish formal AI governance, controls, and accountability models that scale with adoption — not after incidents occur.

Services

AI Governance Playbooks
Alignment Workshops
Policy Creation
Controls Design

If Your Processes Can’t Absorb AI insights...

We redesign workflows so AI recommendations translate into action, not manual workarounds.

Services

Process Design
Global Taxonomy
UX Improvement

If Your Teams Lack AI Fluency...

We build capability through workforce strategy, targeted upskilling, and on-demand expertise — driving adoption, not resistance.

Services

Workforce Strategy
Learning & Development
On-Demand Talent

If Your AI ROI Can’t Be Defended...

We define enterprise KPIs and value frameworks that tie AI investment directly to margin, liquidity, forecast accuracy, and risk mitigation.

Services

Alignment Workshops
Enterprise KPI Development
Data & Analytics

If Your AI Readiness is Uneven...

We benchmark maturity across the enterprise and define a focused roadmap to close gaps, sequence investments, and accelerate measurable AI value.

Services

Maturity Models
Benchmark Analysis
Accelerated Readiness Roadmaps

Proven at Enterprise Scale

Go-To Choice

90

of the Fortune 100 & 70% of the Fortune 500 Proudly Served Worldwide

proven record

340,000

Projects Completed-Each One a Testament to Our Commitment to Agility and Expertise

recent recognition

Top Management Consulting Firm by Business Insider

2026 Disruptive Tech Change Agent Winner

Expert Insights on AI ROI

Research The AI Foundational Divide: From Ambition to Readiness
Talks KPIs in the Age of AI: A Conversation with Bernie Smith  
Insights Beyond the Pilot: How CFO’s Get ROI on AI
Talks David Ulrich on Aligning AI Strategy with Human Capital Strategy
Research Navigating Risk in the Age of AI
Talks CFO Thomas Raterman on AI and the Future of Finance.

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Let’s Benchmark Your AI Readiness

If your goal is to get AI-ready, we’re here to help. Fill out the form and we’ll be in touch shortly.

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