Is your business ready to adopt AI — or are gaps in your data, security, and infrastructure putting that investment at risk?
A complete AI readiness gap assessment, scored against international standards
This assessment evaluates your AI readiness across six pillars — Strategy, Data, Security, Infrastructure, Workforce, and Governance. It scores your posture against ISO/IEC 42001, NIST AI RMF, PIPEDA, and Canada’s AIDA. Gartner (2025) projects 60% of AI projects will be abandoned through 2026. This assessment tells you exactly where you stand before you invest.
Every gap tells you two things: what it costs, and who should own closing it
Each finding is backed by independent research and shows you the real business impact of the gap. You also see whether the gap points to shadow AI exposure, data governance risk, or infrastructure limitations — and which gaps carry the most weight with regulators, leadership, and boards when AI adoption decisions are being made.
A complete AI readiness report delivered to your inbox
When you complete the assessment, your full results are emailed as a formatted readiness report. It covers your scored profile across all six pillars, your letter grade and risk classification, your highest-priority gaps ranked by risk, and a prioritized quick wins list — plus a direct link to book a working session with a Sunco advisor to walk through what the gaps mean for your business specifically.
AI Readiness Gap Score
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About Your Organization
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Get Your AI Readiness Report
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Your AI Readiness Level
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What to Do With These Results
Your Highest-Priority Gaps
Let’s talk through what this means for your business
This isn’t a sales call — it’s a working session. A Sunco advisor will review your results with you, explain what the gaps mean in your specific context, and help you prioritize what to address first. No obligation, no pitch deck.
Add your org size and budget to personalize your risk exposure estimate.
Why this model matters
Most businesses underestimate the cost of AI adoption failure. Coalition’s 2025 Cyber Claims Report puts the average SMB cyber claim at $115,000. McKinsey’s 2025 State of AI found high performers are nearly 3× more likely to have redesigned workflows. Salesforce (2025) reports 84% of technical leaders say their data strategy needs a complete overhaul for AI to succeed. This model gives you a directional estimate of what is at stake.
Enter your organization’s profile below. All figures are estimates — use them to anchor your risk conversation.
Organization Profile
Drives productivity loss and adoption cost estimates
Used to benchmark AI security exposure
Investment at risk without governance controls
Productivity Loss Risk (unmanaged AI)
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Data Breach Exposure (AI surface)
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AI Investment at Risk (no governance)
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Estimated Annual AI Risk Exposure
Coalition 2025 • McKinsey 2025 • Salesforce 2025
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