AWS Premier Tier Services Partner
one of 93 in the US, of 130,000 worldwide
See, control and prove every AI call on AWS,
from one gateway.
Every other cost has a unit and an owner; the AI line arrived with neither. The AI Cost Control Tower Workshop is one day on your own AI traffic, read-only. You leave with a baseline of what your AI costs today, and a costed plan to put every call on a team.

What the day leaves you with
- Morning
We put one number on today.
- Every AI invoice, and AI subscriptions on cards
- Who is using AI: spend by key, AI agent, team
- Unspent AWS commitment
- Afternoon
We design the target.
- A task and an outcome for each AI agent
- Cost per outcome and labels
- Budgets, each with an owner
- End of day
A costed roadmap.
- Your baseline, and the Control Tower's plan for your accounts
- A rollout in phases, read-only first
The value, in one question
One question to an online shop's AI agent: 14 model calls.
ExampleMore than 500 AWS customer launches
1,300+ engineers
Stopped at the gateway, not found on the bill.
Every model call goes through Amazon Bedrock AgentCore Gateway, single-tenant in your own AWS account, and an AWS Service Control Policy refuses any call that doesn't. Nothing is hosted by us, and prompts never leave your account. Only metadata does. If the gateway is down, AI pauses rather than running ungoverned, with a documented break-glass path.
Each check watches first; you switch it on, one account at a time.
Every call on a user, an app and a team, about a two-week build once the definitions exist; from the next month-end, the AI line arrives split by team. We count what still goes around it.
Dollar budgets per user and team, checked before the model runs. A call the gateway can't check waits.
A cheaper approved model where quality holds. No promised percentage: we prove the savings on your traffic first.
Personal data, denied topics and prompt injection, stopped in the request path, not found in a log afterward. Every decision is logged.
Mapped to the EU AI Act, ISO 42001 and NIST AI RMF: an audit-ready record, built as you go. The compliance stays yours.
They need a different control; we won't pretend otherwise.
What it has done for clients
lower compute cost after we put its cloud cost on names, by workload, and right-sized it
AWS accounts, so billing and governance stopped blurring together
They worked closely with our AWS team to optimize costs and minimize the financial impact of our migration.Director CloudOps
Book the AI Cost Control Tower Workshop.
- One day, read-only: no prompts or outputs needed
- Free: AWS funding typically covers it
- Bring last month's usage export and the bill
- A costed roadmap, yours with us or without us
Scan to book
hello@armakuni.com
or ask your AWS account team