How to Set Up AI Monitoring on Your Team's Tool Usage and Show Leadership Exactly Where Automation Can Save $100K Annually

Published 2026-06-22 by

AI usage monitoring tracks which AI tools your team uses, what they cost, and whether they deliver results. A basic setup using Torii or Claude plus a spreadsheet can surface $50,000 to $100,000 in annual waste in under two hours.

We built an AI usage monitoring dashboard for a 12-person corporate team in under two hours. It tracked every tool, flagged duplicate subscriptions, and surfaced $94,000 in annual waste in the first week. This guide covers how to set it up, which tools to use, and how to present the findings to leadership in a way that gets you credit.

What Is AI Usage Monitoring and Why Does It Matter?

AI usage monitoring means tracking which AI tools your team uses, how often, and what it costs. It also means measuring whether those tools are actually producing results worth the spend.

Most corporate teams are running 8 to 15 AI subscriptions simultaneously. Many overlap. Some nobody uses. According to Gartner, companies waste an average of 30 percent of their SaaS spend on unused or redundant tools. With AI tools multiplying fast, that number is climbing.

The person who surfaces this data becomes the person leadership trusts. That is the real opportunity here. If you want to become the AI person at your company, this is one of the fastest paths. We cover that full strategy in How to Become the AI Person at Your Company by Selling Internal AI Automation Projects and Getting Paid to Build Them.

Which Tools Should You Use?

Three tools do most of the heavy lifting here. Each fits a different company size and budget.

ToolBest ForPricingKey Feature
ZyloEnterprise (500+ seats)Custom, starts ~$2,000/moFull SaaS spend intelligence, AI categorization
ToriiMid-market (50-500 employees)Starts at $199/moAuto-discovers shadow IT, usage scoring
ProductivEnterprise with Okta/SSOCustom pricingEngagement data per app per user

For smaller teams or a proof-of-concept before buying a dedicated tool, you can build a lightweight version using Claude and a spreadsheet. We use Claude for this workflow. ChatGPT and Gemini work too, but Claude handles longer context better when you are feeding it months of expense data and asking it to find patterns.

If your company already tracks spend in a tool like Creatio, you may not need a new platform at all. Check How to Build a PandaDoc and Creatio Integration That Automates Your Company's Entire Proposal Workflow and Saves 12 Hours Weekly to see how existing systems can be extended without new spend.

How to Get Started Step by Step

  • Pull your last 90 days of software expenses from finance or your company credit card. Export to CSV.
  • Open Claude. Paste the CSV data and prompt: "Identify every AI or automation tool in this list. Group duplicates. Flag any tool with less than 3 users. Calculate annual spend per tool."
  • Take the output and build a simple table in Google Sheets: Tool, Monthly Cost, Annual Cost, Active Users, Cost Per User, Duplicate Risk.
  • Install Torii or connect Zylo to your SSO if your company has one. This automates step 1 and 2 going forward.
  • Set a monthly alert for any new AI tool subscription over $50. Most tools let you do this in Settings, then Alerts, then Spend Threshold.
  • Build a one-page summary for leadership. Lead with the total waste number. Follow with three specific cuts. End with a recommended consolidation plan.

That one-page summary is your leverage. Leadership does not want a 40-slide deck. They want a number and a decision. Give them that and you own the room.

For building the documentation that supports this system long-term, see How to Build a Process Documentation System Using AI That Takes 2 Hours Instead of 2 Weeks and Makes You Indispensable.

What to Watch Out For

The biggest gotcha is shadow IT. Employees pay for tools on personal cards and expense them later, or never. Torii and Zylo catch some of this through SSO login data, but not all. You will likely undercount total AI spend by 15 to 25 percent in your first audit.

The second issue is privacy pushback. Some employees will feel watched. Be clear upfront that you are tracking spend and tool categories, not individual prompts or outputs. Frame it as cost control, not surveillance. If you want the full playbook on staying compliant while doing this, How to Monitor Your Team's AI Usage Without Invading Privacy and Stay Compliant in 30 Minutes covers the exact boundaries to set.

Someone in your organization is already doing a version of this. Maybe it is someone in finance. Maybe it is someone in IT. While you read this, they are getting closer to owning this conversation with leadership. Every week you wait is another month of waste that someone else gets credit for stopping. Zero Day AI gives you mission files that tell your AI exactly what to build. You paste. It builds. You walk away with a working system in under an hour. Try it for $1. Two weeks. Full access. If it is not for you, cancel. But if you do nothing, the gap does not close itself.

What to Do Right Now

Pull your last 90 days of software expenses today. Paste them into Claude with the prompt from step 2 above. You will have a draft savings report in under 30 minutes. That report is your opening move with leadership. Every week you wait is another $2,000 in waste that nobody is catching.

Every week you wait, someone in your industry gets further ahead with AI. They are building faster, charging less, and winning the clients you are still chasing manually. That gap does not close on its own.

Get started for $1

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