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Transforming Manufacturing with AI Readiness

Artificial Intelligence Maturity Readiness Index

Introducing AIMRI

AI adoption is rapidly transforming the manufacturing landscape, yet many companies struggle to scale AI effectively. Challenges such as siloed data, unclear AI strategy, and workforce readiness hinder progress.

The Industrial Artificial Intelligence Maturity Readiness Index (AIMRI) is designed to help manufacturers systematically assess and enhance their AI capabilities. Developed by INCIT and Detecon, AIMRI evaluates AI readiness across 20 key dimensions, spanning strategy, governance, data infrastructure, and AI applications in operations, supply chain, and product lifecycle management.

AIMRI provides a structured roadmap to prioritise AI investments, align stakeholders, and drive measurable improvements. Through detailed assessment and benchmarking against best practices, AIMRI delivers insights to accelerate AI adoption and unlock competitive advantages.

Ready to Start your AI Journey?

Assess your AI Readiness with AIMRI and position your organisation for AI-driven success.

AI Potential In Manufacturing

AI Investments by leaders compared to their peers

Overcoming Manufacturing AI Adoption Challenges

AI adoption presents several significant challenges for manufacturers. A common hurdle is the lack of transparency in identifying key areas for improvement, leaving many unsure where AI can deliver the most value. Laying the groundwork for AI is also complex, especially when organisations must coordinate efforts across departments while managing legacy systems alongside emerging AI technologies. The intricate nature and interdependencies of AI systems further complicate integration efforts. 

Adding to the challenge, many AI initiatives fail to demonstrate measurable impact. Even when pilot projects succeed in one facility, manufacturers often struggle to scale those solutions across other plants due to inconsistent infrastructure and varying levels of digital maturity. 

The Industrial Artificial Intelligence Maturity Readiness Index (AIMRI) is designed to help overcome these barriers. It begins with a holistic assessment across organisational, technological, and strategic dimensions to ensure alignment between AI initiatives and business objectives. AIMRI provides a structured foundation for identifying capability gaps, sets clear priorities based on readiness and return on investment, and enables benchmarking against industry best practices. Importantly, it also enhances stakeholder communication, helping leadership teams make informed decisions and drive meaningful progress on their AI journey.

Our Methodologies

Lead
Framework

Transforming & a manufacturing facility

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TIER
Framework

Key concepts tools behind AIMRI

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Assessment
Matrix

First Manufacturing AI self-diagnostic tool

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Prioritise
Matrix

directional tool designed for management planning

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How AIMRI Works for You?

Intelligence Enterprise as the Lever

01

AI Process Adaptation

Integrate AI to optimise workflows, decision-making, and efficiency across operation managements, supply chain, and product lifecycle management.

Technological Enablers

03

Technology Infrastructure & Data Management

Integration, connectivity, security, storage, scalability, computing, AI interfaces, Data lineage, metadata, data processes, data quality, data diversity, feature engineering.

04

Model Management

Model reliability, performance, and version control.

Organisational Enablers

05

AI Strategy

Data & AI strategy, business buy-in, resource allocation, AI portfolio, innovation, ecosystem collaboration.

06

AI Organisation

Leadership involvement, chage management, AI culture, knowledge management, upskilling.

07

Ethical & Eco-efficient AI

Fairness, human rights, transparency, accountability, social and environmental impact.

08

Risk & Governance

Regulation adherence, risk management, compliance and governance framework, training, audits.

AIMRI’s Six Key Differentiators

Next Generation Beyond
Smart Industry Readiness Index (SIRI)

01

Evolutionary Leap from digital maturity to AI-Powered intelligence with performance-linked outcomes

AI-Specific Focus

03

Dedicated evaluation of Al-centric maturity across strategy, organization, and operational integration Interlinked Dimensions

Interlinked Dimensions

05

First framework showing Al dimension interdependencies with progressive KPI roadmaps

Independent & Holistic Framework

02

Comprehensive 20-dimension model developed by leading institutions, vendor-neutral approach

Proof-Based Maturity Model

04

Evidence-based assessments with verifiable proof points and performance validation through Enterprise Performance Impact KPIs (EPIK)

Global Benchmarking Impact

06

Enables national Al readiness comparison and policy development for economic sustainability

Next-Generation Beyond Smart Industry Readiness Index (SIRI)

01

Evolutionary Leap from digital maturity to AI-Powered intelligence with performance-linked outcomes

Independent & Holistic Framework

02

Comprehensive 20-dimension model developed by leading institutions, vendor-neutral approach

AI-Specific Focus

03

Dedicated evaluation of Al-centric maturity across strategy, organization, and operational integration Interlinked Dimensions

Proof-Based Maturity Model

04

Evidence-based assessments with verifiable proof points and performance validation through Enterprise Performance Impact KPIs (EPIK)

Interlinked Dimensions

05

First framework showing Al dimension interdependencies with progressive KPI roadmaps

Global Benchmarking Impact

06

Enables national Al readiness comparison and policy development for economic sustainability

Next-Generation Beyond
Smart Industry Readiness Index (SIRI)

Smart Industry Readiness Index (SIRI) established the global benchmark for Industry 4.0 readiness, focusing primarily on digital productivity and smart manufacturing practices. AIMRI takes the next evolutionary leap by focusing not just on digital maturity, but on AI-powered intelligence covering strategy, organisation, data, ethics, and operational integration. With EPIK (Enterprise Performance Impact KPIs), AIMRI connects readiness maturity directly to business performance outcomes like OEE, sustainability, and autonomous operations.

Independent & Holistic Readiness Framework

Unlike proprietary vendor-led models, AIMRI is independent, developed by INCIT and Detecon with scientific advisors from leading institutions (TUM, Maryland, Tecnológico de Monterrey). Covers 20 Dimensions across Strategy, Organisation, Ethics, Risk, Technology, and Enterprise Operations, making it the most comprehensive AI-readiness framework globally. EPIK strengthens the framework's independence by providing neutral, evidence-based KPIs that are globally applicable and not tied to vendor technologies or narrow industry standards. 

AI-Specific Focus

AIMRI uniquely evaluates AI-centric maturity not just digital transformation. Covers AI Strategy, AI Organisation, Model Management, AI Lifecycle, AI Process Adaptation, and AI Collaboration, making it directly relevant for organisations embedding AI in real manufacturing contexts. With EPIK, AIMRI demonstrates how AI maturity translates into tangible performance improvements from productivity gains (AI-OEE, AI-OLE) to sustainability metrics (Energy Index, Scrap Rate) and future-ready KPIs for Autonomous Operations.

Proof-Based Maturity Model

Each dimension includes Guiding Statements, Proof Points, and Exemplary Markers, offering verifiable, evidence-based maturity assessments. EPIK complements this by adding performance validation — measurable KPIs confirm whether maturity progress results in real-world impact on efficiency, sustainability, and resilience. This makes AIMRI both auditable and results-driven, ensuring credibility for governments, manufacturers, and investors.

Interlinked Dimensions for 
Real-World Adoption

AIMRI is the first maturity model to show interdependence between AI dimensions (e.g., higher maturity in Operations Management requires sufficient AI Infrastructure maturity). EPIK aligns with these interdependencies, providing stage-based KPIs that evolve as maturity advances (e.g., AI-Enhanced OEE at early stages, Autonomous Operation Rate at advanced stages). This ensures organisations receive a progressive roadmap linking readiness maturity → performance outcomes → strategic priorities.

Global Benchmarking & Policy Impact

AIMRI is designed not only for companies but also for national benchmarking — enabling policymakers to compare AI readiness across industries and countries. With EPIK integration, policymakers can go a step further: they can measure not just readiness, but also the economic and sustainability impact of AI adoption across regions and sectors. Together, AIMRI and EPIK provide the foundation for AI-related incentives, education strategies, ESG integration, and national industrial policies. 

Who Can Benefit from AIMRI? 

Explore INCIT

Overcoming Manufacturing AI Adoption Challanges

Manufacturing Companies face specific obstacles when implementing AI, but AIMRI provides targeted solutions to address

The Challenges

Unclear Improvement Areas

Manufacturers struggle to identity which processes would benefit most from AI Implementation.

Weak AI Fondations

Many plants lack the necessary data infrastructure and expertise to support AI Initiatives.

Complex System Interdependencies

Interconnected operations make it difficult to isolate AI Implementation areas.

The Solution Approach

Holistic Assessment

A Structured framework to evaluate the entire manufacturing ecosystem.

Structured Gap Identification

Pinpoint specific areas for improvement with measurable benchmarks against industry standarts.

Enhanced Stakeholder Alignment

Create clarity and buy-in across all levels with data -driven implementation strategies.

AI Investments by leaders compared to their peers

AI Leaders are allocating more budget and resources to profit from AI

102%

Revenue Share

Leaders invest double in digital and AI

56%

2024 Increase in AI/GenAI Invesement vs 2023

Year-Over-Year AI Investment Growth

98%

Dedicated FTEs

Staff allocated to digital and AI Work

55%

Upskiling

Workforce being trained in AI / GenAi

AI Potential In Manufacturing

IT Equipment Manufacturing Industry

AI-Powered Automated
Assembly & Testing

42% Increase in Overall
equipment effectiveness (OEE)

AI-Enabled Warehouse
and Logistics Scheduling

44% Reduction in line changeover
time in IT equipment manufacturing

Electronic Manufacturing Industry

Automated Energy
Efficiency Management

33% Reduction in building
energy consumption

AI-Enhance Resource
Recycling

60% Reduction in line material waste
from cartons in electronics producton

Basic Materials Manufacturing Industry

Intelligent Equipment
Maintenance & Scheduling

35% Reduction in unplanned
downtime

AI Control and Optimization for ket cement
production process

11% Reduction in coal consumption per
ton of product