Cloud and AI spend visibility
Ingest provider usage and billing data.
Share your requirements so we can assess relevant products and any custom development needed.
Tell us your needsAI-ASSISTED AUTOMATION · IT & Technology Operations
Attribute cloud and AI service costs to usage sources and flag unusual spend before budgets are breached.
Tell us what you need; we will define the scope and setup steps with you.
Explore the workflowKEY FEATURES
Practical capabilities with a clear role in your workflow.
Ingest provider usage and billing data.
Monitor budgets.
Attribute unexpected spend changes.
USE CASES
Explore the need, the proposed approach and your team's role.
SELECTED USE CASE
A model's daily token cost rises without anyone noticing the trend.
Combine provider billing and usage records and report cost drift by model or project.
Deliverable: Service-level spend and limits view. Success metric: Spend above budget.
SELECTED USE CASE
An AI API workload is nearing its agreed monthly cost threshold.
When spend nears a limit, follow the approved alert and shutdown policy rather than cutting off services unexpectedly.
Deliverable: A spend warning, cost attribution and policy-based control decision.
YOUR QUESTIONS
Review the product scope, connection requirements and approval points.
Cloud and AI API costs can rise unnoticed across providers.
A model's daily token cost rises without anyone noticing the trend.
Alerts and limits depend on provider capabilities; automatic stopping requires explicit policy and authority.
Deliverable: Service-level spend and limits view. Success metric: Spend above budget.
Deliverable: A spend warning, cost attribution and policy-based control decision.
Implementation is scoped after checking access and data in the customer’s systems; no prebuilt connection is assumed.
Let’s define the scope together.
Workflow setup, integration assessment for suitable systems, testing, monitoring and ongoing management. Core deliverable: Service-level spend and limits view.
AWS, Azure or GCP usage and billing APIs
Combine provider billing and usage records and report cost drift by model or project.
Deliverable: Service-level spend and limits view. Success metric: Spend above budget.
Authorization, approval steps and exception owners are agreed with your team during setup.
Implementation is scoped after checking access and data in the customer’s systems; no prebuilt connection is assumed.
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Setup reviews access to AWS, Azure or GCP usage and billing APIs. Data scope, permissions and transfer methods depend on the client environment; a ready-made connector is not assumed.
OTEMATIK · NEXT STEP
Share your current process and required connections. Our team will help define the implementation scope and next steps.