people ops $14 (too small to show) · $6,080 est. avoidable · illustrative
Your organization's AI use is opaque.
ixway clears the fog.
ixway for leaders in 36 seconds
AI spend is climbing fast. Budgets aren't keeping up. Who uses it? For what? What came of it? Requests from AI tools and apps flow toward the models and disappear.
ixway is one gateway for Claude Code, Codex, Cursor and your own apps. See who uses AI and what for: the product team, 15 people active over 30 days, spent $6.2k on new features, $4.0k on bug fixes, $2.3k on review and tests and $0.9k on other work. And what it actually produced: 612 commits, 148 pull requests and 24 deploys. A model policy per team: frontier models for hard work, cheaper ones for the rest. Know where the waste is: $6,080 a month in estimated waste found across five findings. Engineers get the fix, right in their AI tool: thirteen unused tool definitions, re-sent every request, are dropped from one engineer's Claude Code setup, and their tokens per session fall. The figures are illustrative.
See what your teams do with AI. Spend less doing it. Visibility and cost control for your teams' AI use. ixway.ai.
01Visibility
Know what your teams are doing with AI.
See who uses it, what they use it for, and what it produces, team by team.
AI spend is climbing fast. Budgets aren't keeping up.
16×The typical engineer's monthly AI spend grew sixteenfold between August 2025 and May 2026.Jellyfish, State of AI in Software Engineering
32%of companies went over their AI budget by 10% or more in the past year.Datarails survey of 270 CFOs, 2026
71 of 81 active$37,745 measured this month
- 1.1People and teams, not API keys.Usage rolls up from each person to their team.
- 1.2What the work was for.Every session is labelled: building, fixing, reviewing.
- 1.3What it produced.Linked to the commits, PRs and deploys it made.
- 1.4Measured, not guessed.Costs come from the usage each provider reports.
Every row here is made of sessions.
See what your engineers see ↗02Cost control
Spend less without slowing anyone down.
Visibility shows where the money goes. These controls change where it goes next.
2.A Routing
Send each team's work to the right model.
Not every task needs the most expensive model. Set a policy for each team, and try it in shadow before it goes live.
The frontier model for hard problems. Cheaper models for routine work.
platform-eng · eng/coding
A small model answers first. Harder questions move up.
support · support/answers
Without a policy, every request goes to the most expensive default.
product, mobile, data, infra
2.B Waste
Find the waste. Send the fix to the tool that caused it.
Each finding is priced and linked to the sessions where it happened. Accept it, and the fix goes to the AI tool behind it.
2.C Toolkit
Give your teams the tools to cut AI cost.
Routing policies
Choose the model by team, project or agent.
Budgets and rate limits
Cap any key by the day, week or month.
Your own hardware first
Run what you can locally. The rest goes to the cloud.
Batch for work that can wait
Non-urgent jobs run on half-price batch APIs.
Repeat work, turned into code
Spot the prompts asked thousands of times.
Answers in plain English
Ask a question, see the query behind it, export to CSV.
Redefine tokenmaxxing. Maximize value per token.
03For your engineers
Your engineers see their own AI use, too.
Each person sees their own sessions, what their agents did, and how to make their setup leaner.
- My usage
- maya.chen · 7 days
- sessions
- 9
- spend
- $78.40
- produced
- 3 PRs
Find why the webhook test flakes
12 turns · commit$2.16Review the ledger-export PR
6 turns · review$0.88Finding on your setup
Your Claude Code setup re-sends 13 tool definitions you never use.
Copy fix for Claude CodeAppliedchecking the next sessions
- 3.1Their sessions, replayed.Every step their agent took, and the model behind it.
- 3.2Fixes for their own setup.A prompt their AI tool can apply directly.
- 3.3Private to them.No one else's sessions or spend.
04Roles and privacy
One record. A view for every role.
Leaders, finance, the platform team and engineers each start from what they need. You decide what each role can see.
Starts on
The organization
Sees
- Teams and people, rolled up
- Work, outputs, findings
Hidden
- Prompts and responses
Starts on
Spend
Sees
- Spend by team, model and purpose
- Budgets and CSV exports
Hidden
- Prompts and responses
Starts on
The gateway
Sets
- Routing profiles and budgets
- Who sees what
Reviews
- Findings and shadow policies
Starts on
My usage
Sees
- Their own sessions, replayed
- Fixes for their setup
Hidden
- Everyone else
Groups, not individuals
Teams smaller than the size you set roll into their parent.
Content stays home
Prompt capture is optional, and it stays in your deployment.
Scoped managers
A leader can be limited to their own teams.
05Setup
Live in an afternoon.
Your platform team points your AI tools at ixway. Nobody changes how they work.
Your AI tools
- Claude Code
- Codex
- Cursor
- OpenCode
- Your own apps
Gateway
Your models
- Anthropic
- OpenAI
- 30+ cloud providers
- Your own hardware
Want the technical detail?
See what your engineers see ↗