Procurement kit

Give procurement, finance and security the materials they need.

ML Mind is easier to approve when decision-makers can review the business case, data requirements, risk controls, pilot scope and evaluation criteria in one place.

Get a Free AI FinOps Audit Trust center

Procurement-ready assets

Executive ROI brief

Explains where savings come from and how the payback case is evaluated.

Open brief

Sample audit report

Shows the expected output from an AI FinOps audit.

View sample

Data handling overview

Clarifies what data is required at each deployment level.

Review data

Security and trust

Supports privacy, security and enterprise readiness review.

Open trust center

Review area	Procurement question	ML Mind response
Value	How do we know this will save money?	Start with read-only telemetry audit and validate savings opportunities before deeper deployment.
Risk	Will cost cutting break quality?	ML Mind uses integrity-adjusted savings: savings count only when answer quality and critical facts are preserved.
Integration	Do we need a large migration?	No. The adoption path can begin with Observe and progress to Control only when justified.
Security	What data is needed?	Data needs depend on the selected level: logs only, telemetry, pre-model context, gateway or ModelOps metrics.