— Life Span of AI Buck made Visible

Every Buck made legible.
AI Spend made accountable.

3-month lag

The gap between when engineers provision and when finance sees the bill. We close it.

Every line item on your AI, SaaS, Cloud, etc bill maps to an engineering choice. We surface which choices were intentional — and what to do about the ones that weren't.

Close-up of a dark monitoring dashboard screen showing cloud cost allocation graphs and resource utilization readouts, cool fluorescent studio lighting, control-room atmosphere, data labels visible mid-screen
Close-up of a dark monitoring dashboard screen showing cloud cost allocation graphs and resource utilization readouts, cool fluorescent studio lighting, control-room atmosphere, data labels visible mid-screen
/ The accountability gap

Cost overruns are a traceability problem

Most organizations can't map a AI, SaaS, Cloud charge to the team or workload that generated it. Without traceability, optimization is guesswork.

We tag, allocate, and attribute every dollar — giving finance the visibility they need and engineers the context to act.

+ What we do

Three disciplines, one practice

AI Costs Visibility

AI Spend Governance

Engineering-Finance Alignment

Allocation tagging, showback reporting, and cost anomaly detection — so every team owns its number.

Token costs, GPU utilization, and model inference charges mapped to business outcomes before the bill arrives.

Shared dashboards and accountability loops that connect provisioning decisions to budget reality in real time.

Spending on purpose starts with a conversation

Bring your last three months of cloud spend. We'll show you what it actually says.