Your organisation is investing in AI. But is it ready to scale it?
Most manufacturers can't answer that question. AIMRI gives you a clear, evidence-based picture of your AI readiness across 3 building blocks, 8 pillars and 20 dimensions — so you can prioritise AI investment, align stakeholders, and build the path from buying AI to becoming an intelligent enterprise. The world's first AI-centric industrial readiness framework.
across your enterprise
spanning purpose to operations
investment, 2024 vs 2023
vs peers in digital & AI
Three building blocks. One AI transformation journey.
AIMRI is structured around three integrated building blocks that together evaluate AI readiness end-to-end — from intent and infrastructure to intelligent operations. Each building block maps to specific pillars and dimensions assessed within the index.
AI Purpose
Ensures AI initiatives align with business objectives, ethics, and regulatory compliance. Examines AI strategy, organisation, risk management, and the workforce transformation needed to make AI stick.
8 Dimensions
Technology & Data Foundation
Assesses the AI infrastructure, data lifecycle, and model management capabilities required to scale. A strong foundation of structured data, compute, and disciplined model operations is what makes AI adoption repeatable.
6 Dimensions
Intelligent Enterprise
Where AI becomes the lever for transformation — enhancing decisions, operations, and human-AI collaboration. Evaluates AI process adaptation and augmentation across operations, supply chain, and product lifecycle management.
6 Dimensions
AIMRI 12 or AIMRI 20.
Same three building blocks, two levels of depth — from building blocks to pillars to dimensions.
For companies that mostly buy AI capabilities and want a foundational read on readiness.
For companies that make and buy AI and aim to lead with AI as a strategic differentiator.
AIMRI guides organisations from adopting AI capabilities to scaling autonomous, intelligent enterprises.
Overcoming Manufacturing AI Adoption Challenges
Manufacturing companies face specific obstacles when implementing AI — but AIMRI provides targeted solutions to address each one head-on.
Unclear Improvement Areas
Manufacturers struggle to identify which processes would benefit most from AI implementation — leaving many unsure where AI delivers the most value.
Weak AI Foundations
Many plants lack the necessary data infrastructure and expertise to support AI initiatives — legacy systems and emerging AI must coexist without a clear path forward.
Complex System Interdependencies
Interconnected operations make it difficult to isolate AI implementation areas — compounding the challenge of knowing where to begin.
Holistic Assessment
A structured framework to evaluate the entire manufacturing ecosystem — from AI strategy and governance to operations and human-AI collaboration — producing a complete, unbiased picture of readiness.
→ 20 dimensions scored via verified evidence, not self-assessment
Structured Gap Identification
Pinpoint specific areas for improvement with measurable benchmarks against industry standards — so investments target proven gaps rather than assumptions.
→ Prioritisation Matrix ranks gaps by cost impact & KPI proximity
Enhanced Stakeholder Alignment
Create clarity and buy-in across all levels with data-driven implementation strategies — turning ambiguous AI ambitions into a shared, prioritised transformation plan.
→ A leadership debrief & roadmap delivered in every assessment
AI Potential In Manufacturing
Real-world results from AI deployments across industries show what is achievable when manufacturers unlock the right capabilities at the right time.
IT Equipment Manufacturing Industry
AI-Powered Automated Assembly & Testing driving a 42% increase in Overall Equipment Effectiveness (OEE).
AI-Enabled Warehouse and Logistics Scheduling delivering a 44% reduction in line changeover time in IT equipment manufacturing.
Electronic Manufacturing Industry
Automated Energy Efficiency Management using AI reducing building energy consumption by 33%.
AI-Enhanced Resource Recycling achieving a 60% reduction in line material waste from cartons in electronics production.
Basic Materials Manufacturing Industry
Intelligent Equipment Maintenance & Scheduling reducing unplanned downtime by 35% through predictive AI.
AI Control and Optimisation for key cement production processes achieving an 11% reduction in coal consumption per tonne of product.
AI Leaders Are Pulling Ahead. Here Is the Gap.
AI Leaders are allocating significantly more budget and resources to profit from AI — creating a widening advantage over those that lag behind.
Leaders invest double in digital and AI compared to their peers.
2024 increase in AI/GenAI investment vs 2023 among leading organisations.
Staff allocated to digital and AI work by leading organisations.
Workforce being actively trained in AI/GenAI by leading manufacturers.
From planning to roadmap in three phases.
Efficient, structured and non-disruptive. A typical assessment runs 2–3 days on-site, coordinated end-to-end by your Certified AIMRI Assessor (CAA) — built around the LEAD framework: Learn, Evaluate, Architect, Deliver.
Plan & Prepare
2–4 weeks before · ~3 hours
- Introduction to the AIMRI framework and scope clarification
- Fine-tune the assessment plan and timeline
- Data request submitted and reviewed a week before on-site
- Pre-assessment session on building blocks and dimensions
- Output: clear objectives, data readiness and schedule alignment
On-Site Evaluation
Over ~2 weeks · 1.5–2.5 days on-site
- Factory walkthrough to observe and validate AI-related activity
- Evidence-based scoring of each dimension via the Assessment Matrix
- Maturity analysis across 3 building blocks, 8 pillars, 20 dimensions
- Prioritisation Matrix exercise aligning readiness to business goals
- Output: completed Assessment & Prioritisation Matrices
Debriefing & Roadmap Implementation
~3 hours · report & debrief
- Report created using AIMRI Portal tools
- Leadership debrief: maturity score, prioritised dimensions, insights
- Strategic recommendations to accelerate AI transformation
- Re-assess to track measurable progress over time
- Output: full AIMRI report and a clear AI readiness roadmap
See exactly what AIMRI 12 measures.
AIMRI 12 resolves into three building blocks, six pillars, and twelve dimensions — shown in full below. The comprehensive AIMRI 20 tier extends this to eight pillars and twenty dimensions inside the official assessment.
For detailed information regarding AIMRI 20, contact us.
Six progressive bands — from undefined to intelligent.
Every dimension is scored on the same six-band scale using guiding statements, proof points and exemplary markers. Together they form your AIMRI Assessment Matrix Score — an evidence-based snapshot of where you stand and what comes next.
Undefined
No AI intent or activity. Capability is absent and undocumented.
Initiating
Early awareness and isolated experiments. AI is ad hoc and individual-led.
Developing
Foundational capabilities forming. Some pilots and basic data practices in place.
Defined
Standardised, documented AI processes consistently applied across functions.
Managed
Data-driven, performance-linked AI. Outcomes tracked and actively optimised.
Intelligent
Autonomous, self-optimising operations. AI is embedded and future-ready.
Eight tangible outputs — not a vague report.
Complete the Official AIMRI Assessment and walk away with the evidence, benchmarks and roadmap to move from where you are to where you need to be.
Your Maturity Score by Dimension
Your starting point. Every dimension is scored using verified evidence, giving you a clear, objective picture of where your AI maturity stands today — across all 20 dimensions.
Your Prioritisation Matrix
Know where to act first. Dimensions are ranked by cost impact, business KPIs, and distance from best-in-class — so your team focuses effort where it creates the most value.
Your 3B Best-in-Class Benchmark
See how you compare globally. The 3B benchmark positions your organisation as Best-in-Class, Broad Middle, or Bottom — giving leadership a clear view of competitive standing within the manufacturing sector.
Your Assessor Notes · 20 Dimensions
Expert insight, dimension by dimension. Your Certified AIMRI Assessor documents exactly where you stand in each area and what specific actions will move the needle — no guesswork, just clear direction.
Your Impact on the Bottom Line
Connect AI maturity to financial outcomes. This output maps how improvements across key dimensions translate into measurable gains — across revenue drivers, cost reduction, operational efficiency, and customer engagement.
Your Business Objectives Ranking
Align AI with what matters most to your business. Activities and strategies are evaluated based on their influence on profitability — helping organisations concentrate resources on the areas that yield the greatest financial returns.
Your Recommendation for Improvement
A clear path forward. Organisations ready to act on their results will receive targeted improvement recommendations across the AIMRI dimensions — structured to support a practical, phased AI transformation journey.
Your AIMRI Star Emblem
Recognised proof of progress. Awarded on completion of the Official Assessment, the AIMRI Star Emblem validates your AI maturity to customers, partners, and investors — and remains valid for two years.
Four methodologies. One rigorous, AI-native assessment.
AIMRI's assessment is underpinned by four interlocking methodologies — translating AI maturity insight into prioritised, measurable transformation outcomes.
LEAD Framework
A cyclical four-step journey — Learn, Evaluate, Architect, Deliver — structuring continuous, sustainable AI-driven transformation rather than a one-time initiative.
TIER Framework
Four guiding principles that identify where AI adoption delivers the greatest impact — combining the Assessment and Prioritisation Matrices to focus investment on business value.
Assessment Matrix
The world's first AI-centric readiness matrix — six progressive bands across 20 interlinked dimensions, producing a proof-based AIMRI Assessment Matrix Score.
Prioritisation Matrix
A data-driven tool that weighs cost impact, critical business KPIs and best-in-class proximity to translate maturity insight into the most valuable next moves.
Next Generation Beyond Smart Industry Readiness Index (SIRI)
An evolutionary leap from digital maturity to AI-powered intelligence, with performance-linked outcomes that take manufacturers beyond where SIRI left off.
Independent & Holistic Framework
A vendor-neutral 20-dimension model built by INCIT, Detecon and leading academic institutions — covering every layer of the AI-ready enterprise.
AI-Specific Focus
Dedicated evaluation of AI-centric maturity across strategy, organisation and operational integration — purpose-built for the era of industrial AI.
Proof-Based Maturity Model
Evidence-based scoring with verifiable proof points, validated through EPIK performance KPIs — no self-assessment guesswork.
Interlinked Dimensions
The first framework to model AI dimension interdependencies — maturity in one area reflects what it depends on elsewhere, with progressive KPI roadmaps.
Global Benchmarking Impact
Enables national and cross-sector AI-readiness comparison and informs policy development for long-term economic sustainability and industrial competitiveness.
Built for every stakeholder in the industrial AI ecosystem.
Unlock the power of AI in manufacturing.
Assess AI readiness across strategic, operational and technological dimensions — and transform from automated to intelligent, self-optimising operations.
Discover AI Opportunities
Pinpoint where AI delivers most value across production, supply chain and quality functions.
Benchmark vs Best-in-Class
Compare performance against industry peers and best-in-class leaders with the 3B benchmark.
Build a Data-Driven Roadmap
Sequence focused AI investments and accelerate ROI with a prioritised transformation plan.
Empower Your Workforce
Strengthen intelligent decision-support and human-AI collaboration across the operation.
Ready to start your AI journey?
Request the Official AIMRI Assessment and position your organisation for AI-driven success — benchmarked, prioritised, and roadmapped.
Get AssessedShape the future of industrial AI.
Drive national AI strategies that foster sustainable industrial growth and competitiveness — grounded in real readiness data, not assumptions.
National Sector Benchmarking
Compare regional or national AI readiness in manufacturing and identify sectoral strengths and gaps.
Evidence-Based Policy
Design data-driven policies for AI talent, innovation, infrastructure and incentive programmes.
Strengthen the Ecosystem
Foster collaboration between industry, academia and research to accelerate adoption.
Deploy AIMRI across your sector
Learn how INCIT works with governments and trade associations to benchmark AI readiness at national scale.
Deliver measurable AI impact for clients.
Use a globally standardised framework to assess AI maturity and design transformation roadmaps — and add a recognised credential to your practice.
Proven, Standardised Method
Integrate the AIMRI evidence-based framework into AI strategy, transformation and analytics services.
Become a Certified Assessor
Join the INCIT network of Certified AIMRI Assessors and raise your visibility and credibility.
Recurring Client Value
Drive ongoing engagements through AIMRI-based assessments and continuous improvement plans.
Become a Certified AIMRI Assessor
Train and get endorsed by INCIT to conduct Official AIMRI Assessments — and join our global assessor network.
Get CertifiedInvest smarter with AI-readiness insight.
Evaluate the AI maturity and competitive potential of manufacturing and industrial assets — and guide value creation with objective data.
AI Due Diligence
Assess digital and AI capabilities during investment due diligence with objective maturity insight.
Track Portfolio Performance
Monitor productivity and sustainability KPIs across assets and guide value-creation strategies.
Target AI Funding
Support targeted funding for AI transformation and identify growth through AI-driven value creation.
Bring AIMRI into your diligence
Use AIMRI to assess AI capabilities across portfolio and target assets, and direct funding where it creates value.
Independent, holistic, and academically grounded.
Unlike proprietary vendor models, AIMRI is independent — co-developed by INCIT and Detecon with scientific advisors from leading institutions, giving you confidence in the rigour behind every assessment.
A leading global management and technology consultancy. Detecon co-developed the AIMRI framework with INCIT — contributing deep expertise in AI strategy, data and model management, and the design of the 20-dimension assessment methodology and EPIK performance KPIs.
AIMRI's methodology is grounded in research from globally recognised institutions — the Technical University of Munich (TUM), the University of Maryland, and Tecnológico de Monterrey — ensuring the framework is vendor-neutral, evidence-based, and globally applicable.
Three ways to move forward.
Whether you want to measure your own AI maturity, build a practice around AIMRI, or bring it to your region — here's where to begin.
Do an Assessment
Request the Official AIMRI Assessment and get a benchmarked, evidence-based read on your Industrial AI maturity — with a prioritised roadmap to act on.
Get Assessed → Find Certified AssessorBecome a Certified AIMRI Assessor
Train and get endorsed by INCIT to conduct Official AIMRI Assessments. Join a global network of Industrial AI transformation experts.
Get Certified → Contact UsBecome a Training & Certification Partner
Partner with INCIT to deliver official AIMRI training and certification in your region — and add a globally recognised credential to your portfolio.
Partner With Us →
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