Ork MeterENTERPRISE

AI investment, in perspective

Your AI spend
A clearer
business picture

Know where usage belongs, who owns the budget, and where leadership needs to look next.

For engineering, finance, and the people accountable for both.

Developer-level evidence
Organization-wide perspective
OpenAI CodexClaude CodeUsage metadata
Not conversations ↗

Make the conversation actionable

From individual usage
to shared accountability

A common view for the teams building with AI and the leaders funding it.

01 / ENGINEERING

See the work
behind the usage

Attribute reported usage to teams and projects. Make unassigned activity visible so it can be addressed.

Explore visibility →
02 / FINANCE

Give the budget
a business context

Organize estimated costs by cost center, set monthly allowances, and export allocations for chargeback.

Explore accountability →
03 / LEADERSHIP

Ask better questions
with shared evidence

Review usage, budget status, and ownership together. Keep estimates distinct from provider-reported charges.

Understand the numbers →

Built around your operating model

Your organization
Your environment

Choose the deployment approach with EDOS. Start with a focused evaluation, then define hosting, identity, and operational requirements together.

Read our data governance statement →
01

Self-hosted

Run within infrastructure your organization controls.

02

Managed with EDOS

Plan an AWS or other cloud deployment with agreed operational responsibilities.

03

Cloud, hybrid, or on premises

Scope integration and hosting around your security and procurement requirements.

A focused first conversation

Bring your questions
We’ll bring the view

A 30-minute walkthrough with a sample workspace. See attribution, budget visibility, and administration in context.

No integration required for the walkthrough. Demo figures are synthetic. Budgets are advisory, not provider spending limits.