Optimize AI spend
Know what every AI dollar buys.
AI spend runs through seats, tokens and API keys bought team by team, and no single bill shows who used what for which work. Dash connects spend to the sessions behind it, so you can prove ROI and cut waste.
The challenge
AI spend without a map
Finance sees invoices, security sees agents, and nobody sees which work the money actually produced.
Fragmented spend
Seats, tokens and API keys spread across platforms, vendors and teams.
No attribution
No link between cost and the users, projects or work it paid for.
How Dash solves it
How Dash optimizes AI spend
01
INVENTORY
Track every platform
Spend across platforms, agents and teams, from the same inventory Dash uses for security.
02
CONTEXT
Attribute the cost
Usage tied to users, projects and type of work, down to the session.
03
ANALYZE
Find the waste
Idle seats, duplicate tools and model choices that cost more than the work needs.
04
OPTIMIZE
Right-size usage
Adjust seats and models by team, then track the change over time.

Outcomes
What teams achieve with Dash
One view of AI spend
Every platform, agent and team in one place.
Cost tied to work
Spend attributed to users, projects and business outcomes.
Less waste
Idle seats and oversized usage found and right-sized.
Proof
Why teams trust Dash
โWith Dash, we can see how developers are actually using AI, from session frequency and tool usage patterns to model consumption.โ
Enterprise AI company



