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What's the real 3-year cost of your AI decision?

Compare Vermont AI Systems vs ChatGPT Enterprise vs DIY — including risk-adjusted expected loss from real breach data.

Your organization

100
251,0005,000
30%
0%50%100%

Current spend on ChatGPT, Copilot, or any other AI tools — used to model your existing cost baseline.

Vermont AI Systems pricing: Assessment $7,500 · Build $35,000 · Annual retainer $42,000/yr (Yrs 2–3).

ChatGPT Enterprise: $30/user/month. Active user count = headcount × AI adoption % (conservative estimate; enterprise deals often involve all staff).

DIY In-house: 2–4 engineers at $170–200K/yr depending on size, plus $2,500/month infra, $15K initial model ops setup. Year 1 includes onboarding overhead; Years 2–3 are steady-state.

Risk model: Breach probability multiplied by IBM Cost of a Data Breach 2024 industry averages. Legal $5.08M, Financial $6.08M, Manufacturing $5.56M, Healthcare $10.9M. Leak likelihood: VAIS ~near-zero (VPC isolated, no training); ChatGPT Enterprise medium given Samsung Apr 2023 incident (confidential chip data leaked); DIY high during build-out (security maturity lags deployment velocity per ABA Formal Opinion 512).

Sources: IBM Cost of a Data Breach Report 2024; Samsung Electronics data leak (Apr 2023); OpenAI Redis bug — Chat history exposed (Nov 2023); ABA Formal Opinion 512 (2023).

Disclaimer: Estimates are illustrative and based on published benchmarks. Actual costs vary by implementation, vendor, and organization. VAIS pricing assumes standard engagement; complex deployments may differ.

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Annual Expected Loss (Breach Cost × Likelihood)

Vermont AI Systems
ChatGPT Enterprise
DIY In-house