NorthVantage · Sample Report

An AI Readiness Scorecard, completed for a fictional company.

This is what one of NorthVantage's 17 tools produces: an overall score, four dimension scores and recommendations, from 20 answers your team gives. The company and its answers are made up; the scoring is the tool's own.

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Illustrative sample: fictional company and answers, scored by the tool. Not a benchmark, a client result or a forecast.

NorthVantage AI Readiness Scorecard

Illustrative sampleSample Distribution Co. is fictional. Its answers were chosen to show a typical mixed result; the score, labels and recommendations are what the AI Readiness Scorecard returns for those answers.

The decision it supports

Leadership is deciding whether to fund AI pilots this year, and what to fix first. The scorecard shows where readiness is weakest, so the first spending goes to the gaps that would stop a pilot from working.

AI Readiness Scorecard · Sample

Sample Distribution Co.

47/100
AI Developing

Meaningful progress in some areas, but foundational gaps need to be addressed before large-scale AI deployment.

Data Readiness

9/2536%

People & Capability

13/2552%

Process & Infrastructure

14/2556%

Governance & Strategy

11/2544%

Critical: Address Data Foundation

Your data readiness score indicates foundational gaps that will limit AI performance. Prioritize data quality assessment, governance framework development, and data platform investment before pursuing AI deployments.

Improve: Accelerate AI Upskilling

Structured AI literacy programmes for leaders and employees will accelerate adoption. Consider dedicated internal AI champions to support peer learning.

Improve: Modernize Infrastructure

Technology modernization and process standardization will significantly expand your addressable AI use case portfolio. Prioritize the highest-value areas first.

Improve: Strengthen AI Strategy and Governance

A documented AI strategy with board visibility and a formal governance framework will build organizational confidence and enable more ambitious AI deployment.

The 20 answers behind the score

Each answer scores 1 to 5; each dimension has five questions, so it scores out of 25, and the total is out of 100.

Sample answers by dimension, with points
QuestionSample answerPoints
Data Readiness
How would you describe your organization's data quality across core business processes?Some structured data exists but quality is uneven2/5
How accessible is your data for analysis and AI use cases?Data access requires significant manual effort2/5
How mature is your data governance capability?No formal data governance in place1/5
What is the volume and historical depth of data available for AI training?2–5 years of structured data in most areas3/5
How well does your data infrastructure support real-time or near-real-time processing?Batch-only processing, no real-time capability1/5
People & Capability
How would you describe AI literacy across your leadership team?Growing literacy, some leaders are well-informed3/5
Does your organization have dedicated AI or data science capability internally?One or two individuals with relevant skills2/5
How prepared are your front-line employees to adopt AI tools in their workflows?Mixed — some ready, others will need significant support3/5
How effective is your organization at attracting and retaining technical talent?Reasonable talent acquisition, retention improving3/5
How well does your organization invest in ongoing AI and digital skills development?Ad hoc training when specific needs arise2/5
Process & Infrastructure
How well-documented and standardized are your core business processes?Most processes documented with moderate standardization3/5
How modern is your core technology infrastructure?Modernization underway, cloud adoption growing3/5
How much of your current work involves rule-structured, high-volume processes suitable for AI?Moderate volume of AI-suitable processes3/5
How capable is your organization at running technology pilots and scaling successful ones?Pilots happen but rarely scale effectively2/5
How well does your organization manage technology vendor relationships?Moderate vendor management capability3/5
Governance & Strategy
Does your organization have a defined AI strategy linked to business objectives?Informal thinking about AI but nothing documented2/5
How well established is your AI governance framework?Basic policies being drafted2/5
How does your organization approach AI risk management?Ad hoc risk awareness without structured process2/5
How actively does executive leadership champion AI adoption?Some executive champions with moderate engagement3/5
How well does your organization measure and track AI investment outcomes?Basic tracking of spend, limited outcome data2/5

How teams use NorthVantage

One subscription, your team includedInvite colleagues from your account. Each signs in with their own Royson York account at no extra cost, and their access follows your subscription.
Export to keep your workAnswers aren't saved: each tool works in your browser, so complete it in one sitting and export the PDF report for a lasting copy. A few tools keep a short score summary in that browser until you sign out. Nothing is shared between teammates or devices; share the PDFs.
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