RosettaOps™ for AI Spend
Real-time AI cost governance
Govern AI spend live
Not after the bill arrives
AI is your fastest-growing line item. For some teams it is now five to fifteen percent of revenue. RosettaOps gives every user a sandboxed budget across Bedrock, OpenAI, Anthropic, and Vertex AI. Token spikes are detected live. Over-budget creation fails at the cloud's API.
AI is now COGS. You probably don't know yours yet.
Four numbers from public 2025 and 2026 reporting on enterprise AI spend. Each says the same thing: AI cost is fast, structural, and ungoverned. Yesterday's FinOps tools were built for compute. AI needs different governance.
5–15%
of cost-of-goods-sold for SaaS firms with mature AI features. Up from less than 1% two years ago.
5–10×
over-budget on AI projects, per a Wipro CIO public statement on enterprise AI rollouts in late 2025.
35%
more tokens on identical prompts after a single model tokenizer change. Model upgrades are now billing events.
98%
of FinOps teams now manage AI spend, per the 2026 State of FinOps. Up from 31% in 2024.
Most FinOps tools see AI spend after the bill arrives. We catch it live, at the user, model, and token level.
What you get
Per-user AI budgets
Every user gets a budget envelope across Bedrock, OpenAI, Anthropic, and Vertex AI. Caps are enforced at the cloud's API, not at our middleware. A user who hits the cap simply cannot consume more tokens until reset.
Per-project model restrictions
Restrict which models each project, team, or environment can call. Production gets approved models only. Sandbox gets the experimental ones. Cost-per-customer math holds because model selection holds.
Token-spike detection
Continuous evaluation of token usage against a baseline. AI-generated bad SQL, runaway agent loops, model-version drift, and accidental retries all trigger before the bill closes.
GPU saturation alerts
Training and fine-tuning jobs that drift past their reserved budget surface in real time. GPU under-utilisation is flagged separately. Idle GPU is still the most expensive idle resource on your bill.
Live token audit trail
Every prompt, every response, every model call. Who, when, which model, how many tokens, what dollar cost. Audit-grade trail for compliance, customer support, and post-incident review.
Bedrock Sandbox
A governed AI sandbox for evaluation, prototyping, and small-team workloads. Pre-set budgets, model restrictions, and audit trail by default. New ML engineers get access without your team writing IAM policies.
Why post-billing analysis is too slow for AI
A single weekend of a runaway agent loop or an over-permissive AI feature can double your monthly spend. Detection cadence is the difference between a $10K incident and a $100K one.
| Capability | Post-billing FinOps | RosettaOps for AI Spend |
|---|---|---|
| Detection cadence | Hours to days after spend | Sub-hour, continuous |
| Per-user model budget | Not supported | Shipped |
| Per-project model restriction | Not supported | Shipped |
| Enforcement point | Dashboard alert | Cloud API refuses the call |
| Token audit trail | Aggregated to daily | Per call, queryable, FOCUS 1.3 native |
| Multi-provider parity | AWS-skewed | Bedrock, OpenAI, Anthropic, Vertex AI |
| Data residency | Vendor data lake | Customer's own cloud account |
| AI-generated bad SQL detection | Not supported | Native rule |
Closed-Loop FinOps™ for AI
Define. Enforce. Detect. Remediate.
The same closed-loop pattern that governs your cloud spend, applied to AI. One platform, one decision, every model call.
1. Define
Set the AI budget envelope
Per user, per project, per model, per environment. Mix and match across Bedrock, OpenAI, Anthropic, and Vertex AI from one console.
2. Enforce
Cap at the cloud API
When budget is reached, the cloud account's permissions change. The next AI call fails at the provider's API, not at our middleware.
3. Detect
Live token tracking
Continuous evaluation against budget and baseline. Token spikes, model drift, GPU saturation, and runaway agents all surface before the bill closes.
4. Remediate
Auto-pause runaway jobs
Idle GPU pauses on a budget threshold. Runaway training jobs hibernate. Each remediation rule ships with a documented rollback contract so trust scales with adoption.
Your data stays in your cloud
Token telemetry is stored in your own cloud account, queried through your cloud's native serverless engine. We do not ingest your AI usage data into our infrastructure. There is no per-token vendor tax. There is no data lake we lock you into. Audit trails are yours, exportable in FOCUS 1.3 format on demand.
Who buys this
SaaS firms with AI features
Margin per product line is your KPI. AI cost is now five to fifteen percent of cost-of-goods-sold. Per-customer AI cost surfaced live changes which features you ship and which you price-tier.
AI-first startups (Series A and beyond)
GPU spend burns runway. Bedrock and OpenAI bills compound. Engineering teams want quotas and audit, not finance reports. Closed-loop AI cost governance gates every model call before it hits the bill.
Regulated enterprises piloting AI
Audit trails, model restrictions, and customer-owned data are non-negotiable. RosettaOps ships compliance scanning across ten standards alongside the AI governance layer. Pilot rollout to a single team is a two-week motion.
Catch AI cost before the bill
Book a 15-minute demo. We will show your exact AI spend by user, project, and model in your own cloud account.