Daily cost movements need a fast explanation without turning a draft into an accounting conclusion.
The review queue must move quickly enough for close while protecting the evidence behind every allocated dollar.
Who you’d be doing this for
“I spent half my afternoon proving a spike was timing, not a new usage problem.”
Dmitri Vesely · Finance Systems Manager
Owns the systems and evidence flow that finance leaders rely on to explain AI and cloud spend.
What is at stake
Material cloud and LLM movements are reaching review without an agreed explanation or complete ownership. You have to weigh faster exception narratives against the evidence and review controls behind every figure.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- review speed vs. accounting evidence
- cost attribution coverage vs. data quality
- AI drafting vs. human financial judgment
- daily visibility vs. close control
Why Glean
Glean's AI and cloud costs require per-service, per-team, per-customer, and per-feature attribution before efficiency decisions can be trusted.
Written with these in mind
Not your kind of problem? 29 more at Glean, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.