NOVA/Recommendations
Release 1

Recommendations

R1 — Rule-based

Deterministic recommendations derived from FinOps analysis. AI reasoning layer comes in Release 2.

Total Recommendations
3
Annual Savings Potential
$11k
Quick Wins
2
Critical Items
0

Release 2 Preview

These recommendations are currently rule-based (deterministic). In Release 2, a multi-agent AI reasoning layer will enrich each recommendation with contextual analysis, benchmark comparisons, and natural-language explanations.

Replace GPT-4 Turbo with GPT-4o

mediumcost

Engineering team spends $208/mo on GPT-4 Turbo. GPT-4o offers comparable quality at 50% lower cost. Migrate non-latency-critical workloads first.

Est. Saving
$94/mo($1k/yr)
Effort
low
Confidence
82%

AI insight: available in R2

Reduce concentration in MS Copilot

mediumconsolidation

83% of spend is concentrated in MS Copilot. Consider migrating suitable workloads to equivalent models to reduce vendor lock-in and unlock negotiation leverage.

Est. Saving
$95/mo($1k/yr)
Effort
high
Confidence
65%

AI insight: available in R2

Audit Microsoft Copilot seat utilization

mediumcost

$4,170/mo on Copilot seats. Industry benchmarks show 15–25% of seats are underutilized. Review active users and reclaim unused licenses.

Est. Saving
$751/mo($9k/yr)
Effort
low
Confidence
68%

AI insight: available in R2