EXECUTIVE FINANCIAL MODELING Β· CFO-GRADE ROI

ENTERPRISE_ROI: SAVINGS_CALCULATOR

Quantify tangible financial savings generated by Sachin's architecture methodologies across cloud waste, outage risk, and edge AI compute

πŸŽ›οΈ ENTERPRISE INPUT PARAMETERS
Monthly Cloud Spend$50,000 / mo
Azure / AWS infrastructure bill
Active VM Workloads250 VMs
Enterprise virtual machines
Historical Outage Hours/Yr12 Hours
Sev-1/2 downtime cost (~$140k/hr)
Monthly LLM Token Volume50M Tokens
Generative AI token queries
3-YEAR ESTIMATED NET FINANCIAL SAVINGS
$542,000

Derived from automated Checkov IaC cost gates, BGP sub-second BFD failover preventing enterprise downtime, and Cloudflare Workers AI edge caching.

IaC & FINOPS WASTE PREVENTED
$120,000 / yr

Checkov & Infracost PR gates blocking unoptimized cloud provisions.

OUTAGE RISK AVOIDED
$1,680,000 / yr

50ms BFD sub-second failover eliminating stateful firewall drops.

EDGE AI COMPUTE SAVINGS
$14,200 / yr

Cloudflare Workers AI edge caching vs raw OpenAI API calls.

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