AI · Agentic layer
A FinOps agent that recommends and analyzes — and stops exactly there.
Grounded in the FinOps Foundation's agentic use-case framework: recommendation-and-analysis autonomy, enforced in IAM. Not an autopilot, and not marketed as one.
Ask, don't dig
A streaming AI Agent page answers cost questions in natural language against your own CUR data, tags, and inventory — no dashboard spelunking.
It can actually reach AWS
Typed, read-only tools call AWS directly to describe and inspect resources — not just CloudPivot's own API, so the agent sees what you'd see in the console.
"Analyze logs" on demand
Ask the agent to pull CloudWatch Logs for a specific EC2 or ECS resource and explain what it finds — context CloudPivot never previously read.
The boundary is enforced in IAM, not prompts
Every tool the agent can call is read-only by IAM policy. It recommends and analyzes; it never starts, stops, resizes, or deletes anything.
Built against a documented failure mode
Runaway agentic loops have run up five-figure bills industry-wide. Hard iteration caps, token budgets, and a full audit trail are part of the design, not an afterthought.
The safety model
Every tool call is read-only. That's an IAM fact, not a prompt instruction.
Recommendation-only is the FinOps Foundation's own framing for where enterprise agent deployments should sit today — CloudPivot ships there deliberately.
Ask your cloud a question.
The agent is built on the same CUR data, tags, and inventory that power the rest of CloudPivot — nothing it reasons over is a black box.