Finance objectives
- Lower TCO and avoid long, risky platform builds.
- Accelerate time-to-value with clear ROI checkpoints.
- Enforce governance on model usage, data, and spend.
What you get with Drizzle:AI
- Launchpad: Production platform deployed in your cloud with money-back terms per SOW and full handover.
- Ownership economics: No black boxes. You own the IaC, pipelines, and runtime. Vendor-neutral model layer.
- FinOps & spend controls: Token and GPU cost telemetry, budgets, alerts, per-team quotas, request logging, and audit. Export to BI/ERP or your data lake.
- Risk management: Private networking, RBAC, secrets, network policies, and immutable GitOps change history.
- Scale without lock-in: AI Hub routes across models and providers with policy and usage limits.
KPIs to track
- Time to first production workload.
- Unit cost per request / per 1k tokens. GPU utilization.
- Budget variance vs plan. Percentage of spend under policy.
- Cycle time from experiment to governed production.