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Free Resource  ·  NAIQ Intelligence Framework

Is Your Business
AI-Ready?

Before deploying AI, every organisation must assess where it truly stands. NAIQ's 5-Dimension AI Readiness Framework gives you an honest, structured view of your data maturity, technical capability, team alignment, process readiness, and strategic vision — so your AI investment lands where it creates the most value.

PHASE X

Phase X — AI-Assisted Intelligence Delivery. NAIQ's Industrial AI platform is commercially live, with service plans available. Our certified industrial AI analysts personally examine your operational data — production logs, maintenance spreadsheets, downtime records, and execution plans — to deliver your recommendations, forecasts, and ROI estimates. Fully autonomous platform deployment is in active development; the analytical depth you receive today is identical. Across our broader research portfolio — Quantum Computing, Quantum Sensing, Cognitive Science, Mathematics, and beyond — we are in active pre-revenue research. Two tracks, one mission.

NAIQ Framework

5 Dimensions of AI Readiness

NAIQ's assessment examines five interconnected dimensions. A weakness in any one of these can stall deployment — or worse, produce AI results that don't stick. Each dimension carries a weighted score in our 35-question assessment.

🗄️
DIMENSION 01

Data Infrastructure

The foundation of every AI system. Without clean, accessible, and well-labelled data, even the best models fail. This dimension evaluates the quality, volume, and accessibility of your operational data.

  • Do you capture sensor or operational data in real time?
  • Is your data labelled and stored in a structured format?
  • Can you access historical data going back 12+ months?
  • Do you have documented data governance policies?
  • Is your data siloed across departments or systems?
  • What is your current data quality validation process?
  • Do you have a single source of truth for key metrics?
⚙️
DIMENSION 02

Technical Capability

Your existing infrastructure, tooling, and connectivity determine how quickly AI can be deployed. This dimension assesses your hardware, network, integration readiness, and IT governance.

  • Do you have SCADA, PLC, or IoT systems in place?
  • What is your current network connectivity on the floor?
  • Can your systems integrate via API or data export?
  • Do you have cloud or on-premise compute available?
  • What is your current IT security posture?
  • Do you have dedicated IT staff for operations support?
  • How are software updates and rollbacks managed?
🧑‍🤝‍🧑
DIMENSION 03

Organisational Alignment

AI fails without people. This dimension measures leadership buy-in, cross-functional alignment, change-management readiness, and whether your team has the skills and mindset to work alongside AI systems.

  • Does leadership understand AI as a strategic priority?
  • Is there an internal AI champion or sponsor?
  • How have previous technology rollouts been received?
  • Do frontline operators understand how decisions are made?
  • Is there a training budget for AI literacy?
  • How does your team respond to data-driven recommendations?
  • Are cross-functional teams aligned on AI goals?
📋
DIMENSION 04

Process Maturity

AI amplifies existing processes — it rarely fixes broken ones. This dimension evaluates how well-defined, documented, and measurable your core operational processes are before AI is introduced.

  • Are your production or operational processes documented?
  • Do you have defined KPIs and SLAs for operations?
  • Is there a formal root-cause-analysis process in place?
  • How do you currently manage maintenance schedules?
  • Are exceptions and anomalies logged systematically?
  • What is your current process for quality inspection?
  • Do you have a feedback loop from operations to management?
🔭
DIMENSION 05

Strategic Vision

AI without strategy is noise. This dimension examines whether your AI ambitions are grounded in clear business outcomes, a realistic timeline, and a deployment philosophy that prioritises measurable ROI over hype.

  • Do you have a 1–3 year AI adoption roadmap?
  • Have you identified the 2–3 highest-ROI AI use cases?
  • Is your AI investment tied to a measurable business metric?
  • Do you have a vendor evaluation and selection framework?
  • Are AI governance and ethics policies in development?
  • What is your tolerance for a 3–6 month deployment cycle?
  • How do you define AI success for your organisation?
📊
NAIQ ASSESSMENT

35 Questions. One Score.

NAIQ's full AI Readiness Scan combines all 5 dimensions into a single weighted readiness score from 0–100. Each organisation receives a dimension-by-dimension breakdown, a benchmarked percentile rank, and 2–3 prioritised AI use cases for their domain — with an ROI estimate scoped to their operation.

Request Full Scan
Maturity Model

Where does your organisation stand?

NAIQ's 5-level AI Maturity Model maps your overall readiness score to a stage of development — from Ad Hoc to Optimising. Each level defines where you are, what's holding you back, and what it takes to progress.

1
Level 1 — Ad Hoc
No formal data collection, no defined AI strategy. Decisions are made on intuition and legacy experience. AI is seen as a future concern, not a current priority. Score range: 0–20.
Unstructured Data No AI Roadmap Manual Processes
2
Level 2 — Aware
Basic data collection is in place and leadership has acknowledged AI as relevant. Some pilots or proof-of-concept experiments have been attempted but not scaled. Score range: 21–40.
Some Data Pilot Attempted Siloed Efforts
3
Level 3 — Developing
Structured data pipelines exist for key processes. At least one AI use case is in active development or deployment. A cross-functional AI team or champion is in place. Score range: 41–60.
Structured Data Live Deployment AI Champion
4
Level 4 — Advanced
Multiple AI systems deployed and monitored. Feedback loops between AI output and human decisions are formalised. ROI from AI is tracked as a business KPI. Continuous improvement is active. Score range: 61–80.
Multi-System AI AI ROI Tracked Feedback Loops
5
Level 5 — Optimising
AI is embedded in core operations and treated as a strategic asset. Human and machine decision-making work in a tight, accountable loop — each improving the other. The organisation continuously trains, audits, and evolves its AI systems. Score range: 81–100.
Collaborative Intelligence Self-Improving AI-Native Ops
Sample Questions

What NAIQ's assessment actually asks

A preview of the 35-question format — grouped by dimension. The full assessment is delivered as a guided conversation with a NAIQ expert, not a self-service form, so every answer is contextualised to your operation.

🗄️ Data Infrastructure

Understanding your data foundation

  1. How many data sources do you currently collect from, and in what format?
  2. What is the typical lag between an operational event and its appearance in your data system?
  3. Describe your current approach to data cleaning and validation.
  4. How long is operational data retained, and how is it archived?
  5. Have you previously attempted to use this data for any analytical purpose?
  6. What percentage of your operational data is currently unstructured?
  7. Do you have labelled examples of the specific failures or defects you want AI to detect?
⚙️ Technical Capability

Mapping your technical landscape

  1. What SCADA, MES, or ERP systems are currently deployed on your floor?
  2. Can these systems export data in real time or only in batch intervals?
  3. What is your current network uptime SLA on the production floor?
  4. Do you have edge compute capacity, or would AI inference require cloud connectivity?
  5. How is cybersecurity managed for operational technology (OT) systems?
  6. What is the average time to deploy a new software integration end-to-end?
  7. Is there an API or webhook capability on your primary data systems?
🧑‍🤝‍🧑 Organisational Alignment

Assessing team and leadership readiness

  1. Who is the primary decision-maker for this AI investment, and what is their AI familiarity?
  2. Has your organisation gone through a significant technology change in the last 3 years?
  3. How do floor operators currently react to automated recommendations?
  4. Is there budget allocated specifically for AI capability building or training?
  5. What concerns does leadership have about AI — reliability, cost, or workforce displacement?
  6. Who would own AI system performance post-deployment internally?
  7. Do you have a formal change management process?
📋 Process & Strategy

Measuring process maturity and strategic clarity

  1. Which single process failure costs your business the most, and how is it currently managed?
  2. Are maintenance schedules currently reactive, preventive, or condition-based?
  3. What is your current defect escape rate, and how is it measured?
  4. Have you quantified the annual cost of unplanned downtime in INR?
  5. Do you have a board or CXO-level mandate for AI adoption?
  6. What is the biggest perceived barrier to AI deployment in your organisation today?
  7. What does AI success look like to your business in 12 months?
After your assessment

What happens next

Your AI Readiness Score is not a grade — it is a roadmap. Here is how NAIQ turns your score into a concrete, actionable plan for AI deployment.

1

Complete the 35-Question Scan

A 45-minute guided session with a NAIQ expert covering all 5 dimensions — conducted remotely or on-site.

2

Receive Your Scorecard

Within 7–15 days: a detailed readiness report with dimension scores, benchmarks, and gap analysis delivered to your inbox.

3

Review Prioritised Use Cases

NAIQ identifies your top 2–3 highest-ROI AI use cases, ranked by effort, impact, and data availability.

4

Get Your ROI Roadmap

A signed, costed deployment proposal with a phased rollout plan, hardware list, and ROI estimate scoped to your operation in INR.

Start Today

Get your free AI Readiness Scan

Every NAIQ engagement begins with the 35-question AI Readiness Scan — delivered free as part of our Signal plan. Know your score, know your gaps, and get a clear path to your first AI deployment. No commitment required.