About KazenAI

AI agents need a budget they cannot overrun.

KazenAI gives every customer, feature and workflow that runs on AI agents a spending limit, enforces it before the next model call, and keeps a receipt for every decision—so teams can ship autonomous AI and still answer what it cost and why.

Why KazenAI exists

Agents are getting more autonomous. They loop, branch into graphs, and take on long-running tasks on their own—and every step is a paid model call, so spend climbs with them. Most teams can see the provider total at the end of the month, but not which customer, feature or workflow drove it, and nothing stops a run before it overshoots.

We build the missing control layer: Agent FinOps decides whether the next call may run and records why, and Agent Lens shows what happened inside the run. Our Python SDK is open source, so the enforcement path is something you can read.

Fail closed

When a budget can’t be confirmed, the call doesn’t run. Spend that is unclear stays pending until it is reconciled—never recorded as zero.

Evidence, not claims

Every allow and deny has a receipt, and every supported integration is tested against the real provider APIs before we list it.

Start with one workflow

We work alongside your gateway, framework and billing system, starting where the cost problem is clearest.

Team

KazenAI is founder-led today. We work closely with a small number of design partners while we grow the team.

Dhavan Shah, founder of KazenAI

Dhavan Shah, founder. Applied AI at DevRev, shipping LLM systems in live customer workflows · applied AI at AXA XL and Sulzer in Zurich · MSc Data Science, University of Zurich · Kaggle Competition Expert, top 0.5%.

Building LLM systems for live customer workflows, I saw teams that couldn’t say what a given workflow, feature, or team had spent, let alone stop a run before it overshot. KazenAI makes the financial trail of every agent call auditable, and gives agents and workflows hard budgets so spend stays within limits.

I also work hands-on with a few teams on production AI cost and control problems; that work is how KazenAI design partners start.

Work with us

Bring the AI workflow whose spend you need to bound and explain.

Interested in joining instead? See Careers.