COSTFRAME VS. CHATGPT, GEMINI & COPILOT
A general AI assistant vs. grounded, continuous FinOps evidence.
Use AI for a rough thought partner. Use Costframe for numbers finance can sign.
A general AI assistant such as ChatGPT, Gemini, Microsoft Copilot, or a DIY agent can give a rough, one-time read of an exported cloud cost CSV. It is not enough for finance-grade Azure cost optimization: it may price at list rates, lacks verified utilization evidence, and needs carefully governed access to stay current. Costframe is the read-only, evidence-backed, continuous version of that workflow.
Finance-Grade Instrument
- ✓Findings are grounded in resource IDs, utilization history, and price math.
- ✓Savings are calculated at negotiated net rates, not generic Azure list prices.
- ✓Read-only access and tenant isolation are built into the workflow.
Alternative Approach
- ✕General assistants can hallucinate confident savings numbers.
- ✕Exports become stale and miss live utilization context.
- ✕A DIY agent introduces access-governance and credential-handling risk.
When ChatGPT, Gemini & Copilot is the better choice
A general AI assistant is enough for a personal sanity check, a one-off directional estimate, or a draft explanation where no security review or finance sign-off is required.
The Money Argument: Estimates vs. Evidence
How Costframe transforms vague recommendation alerts into verified, developer-trusted actions.
"Downsize VM vm-prod-db-01. Suggested action: move to standard D2s_v5. Projected retail list savings: ~€150/mo. Confidence: High."
"Re-tier Oversized compute vm-prod-db-01. Max CPU over 30 days is 6.2%. Continuous memory ceiling at 21%. Move to E2ds_v5."
Feature Comparison
Direct feature breakdown for audit integrity and risk control.
| Capability | Costframe | General AI |
|---|---|---|
| Verified utilization evidence | ✓ | ✕ |
| Net-rate savings math | ✓ | ✕ |
| Continuous reconciliation | ✓ | ✕ |
| Useful narrative summaries | ✓ | ✓ |
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