Free AI Cost Snapshot
Find the first AI spend leak before the audit.
Send monthly spend, token volume, model providers, latency targets, and your current serving setup. NavyaAI will reply with the first cost levers to inspect and whether API, hybrid, or self-hosted infrastructure deserves a deeper audit.
Best fit
$20K-$200K/mo AI spend
Signal
RAG, agents, GPUs, APIs
Outcome
Audit-ready next steps
What we look for
- Token volume growing faster than per-token price cuts.
- Agent loops, retries, or RAG retrieval multiplying hidden spend.
- GPU underutilization, overprovisioned serving, or poor batching.
- Private AI, data residency, or latency constraints that change the build-vs-buy math.
Already have a private deployment question? Try the On-Prem LLM Cost Estimator first, then attach the output in the stack notes.