Compliance Operations

AI Usage Monitoring

Actual AI tool usage across the organization is tracked in real time, showing who is using what, how often and for what.

A list of approved AI tools tells you what should be used. It does not tell you what is used. This monitoring tracks real usage across the systems in scope: which tools, which teams, how often. It surfaces patterns worth a look, such as a sudden spike or an expensive tool nobody opens, and reports them to your governance owner.

Real AI tool usage tracked by team and user
Spikes and unused tools surfaced as patterns, not raw counts
Reports and alerts sent to your governance owner

$5,900 20–30 working days Optional maintenance $295/mo

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Open box, connected flow-node dots and sync arrows, showing usage patterns tracked across tools.

What it is

AI Usage Monitoring tracks how much your AI tools are actually being used across the organization in real time, showing who is using what and how often, rather than relying on a static list of what is approved. Patterns worth attention reach your governance owner in Slack or a written report.

Why businesses buy it

Without usage data, AI spending and AI risk are both guesswork. Licenses sit unused, a team quietly moves sensitive work onto an unapproved tool, and nobody can say whether a rollout worked. Surveys are slow and people underreport. This monitoring measures what actually happens, continuously, so budget and policy decisions rest on real numbers. It works best on top of a known inventory of tools. The written scope sets the systems and thresholds covered before you commit.

Problems this solves

An approved tools list says nothing about what people really use

Usage monitoring tracks AI tool use across up to three systems in real time. You see who uses what and how often, instead of relying on a static approval list.

Paid AI seats sit idle while other teams go without

The console or written report shows usage by tool and team. That makes it easier to move licenses to the people who actually use them.

Risky usage patterns are spotted months too late

Up to five monitors watch for patterns your policies care about. Anything worth attention reaches your governance owner in Slack or a written report, with enough detail to act.

Scope card SKU UPM-C0338

AI Usage Monitoring

Everything this build includes, written down before you pay. Choose a delivery speed and any add-ons, then add it to your cart.

$5,900 one-time build price

1. Choose your delivery speed

Standard 20–30 working days $5,900 Express 15–25 working days $6,800 Rush 10–20 working days $7,650

Delivery times are in working days (Monday to Friday) and start once your intake is complete. They can extend because of national or public holidays, technical issues outside our control (such as platform outages, third-party changes, account approvals or access delays), or natural disasters and other events beyond our control. If a delay happens, we tell you in writing with a new date.

What is included

Channel: 1 admin console or written report
Integrations: Up to 3 systems or AI applications in scope
Knowledge: Your policies (up to 20 documents)
Workflows: Up to 5 controls, policies or monitors configured
Languages: 1
Testing: Control test log or findings report
Revisions: 2 rounds
Handoff: 1 × 60-min handoff session (recorded)
Support: 30 days after launch

A good fit if

You know which AI tools are approved but not how much they are actually being used or by whom.

You need usage data to justify or challenge a license renewal, not just a list of tools that exist.

You want to spot a spike in usage of a specific tool before it becomes a cost or risk surprise.

Different teams use the same AI tool at very different rates and you need visibility into that pattern.

Not the right fit if

You need a static list of which tools exist, not how much they are used. See AI Model Inventory.

You need compliance-specific monitoring against regulatory rules, not general usage volume. See AI Compliance Monitoring.

You need to watch an individual agent's behavior, not usage volume across the organization. See AI Agent Risk Monitor.

You need the full governance build spanning policy, risk and audit as well as usage. See AI Governance System.

How it works

We connect to the systems where usage happens. Typically your AI applications plus Google Workspace, Microsoft 365 or Slack, wherever staff actually use the tools in scope.
Usage is tracked as it happens, not sampled. Volume, frequency and which team or user each session belongs to, gathered continuously rather than through a periodic survey.
Patterns are surfaced, not just raw counts. A sudden spike, a tool nobody has touched in weeks, or one team using something far more than the rest.
Thresholds are set with you. What counts as usage worth a closer look, agreed with your governance owner rather than left to a generic default.
Findings route to Slack or a written report. Whoever tracks AI spend or risk sees the pattern, with enough detail to act on it.
A test report confirms tracking works as agreed. Run against your named scenarios before handoff, alongside the admin guide.

What you provide within 72 hours

Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.

Your business information (company basics, hours and brand voice), shared during intake, or confirmation we can reuse what you gave us on an earlier order.
The AI tools and systems whose usage should be tracked.
Any existing usage data or license records, so we know your starting point.
A governance owner who can confirm which usage patterns are worth flagging.
Written authorization for any testing of the tracking connections.
Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
One decision-maker who signs off the final thresholds and report routing.

The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.

Timeline

Start business information confirmed and the systems to be tracked agreed.

Weeks 1–2 Tracking connections built and usage thresholds agreed with your governance owner.

Week 3 Pattern detection configured and report or Slack routing set up.

Weeks 3–4 Test report produced by running tracking against agreed scenarios.

Week 4 Your review and two rounds of changes to thresholds or routing.

Go-live Live, recorded handoff session, and the 30 days of support begins.

Delivery options, in working days (Monday to Friday) from completed intake. They can extend because of national or public holidays, technical issues outside our control (such as platform outages, third-party changes, account approvals or access delays), or natural disasters and other events beyond our control. If a delay happens, we tell you in writing with a new date.
Option	Delivery time	Price
Standard	20–30 working days	$5,900
Express	15–25 working days	$6,800
Rush	10–20 working days	$7,650

What you receive at handover

AI Usage Monitoring configured and deployed across up to three systems
A usage view showing who uses which AI tools and how often
Up to five monitors, with alerts to your governance owner in Slack or a written report
A test report with a control test log for the agreed scenarios
An admin guide and a recorded 60-minute handoff session
30 days of post-launch support

Expected benefits and how to measure them

Can help you spend AI license money where it is actually used.
Helps governance owners spot unusual or risky use early.
Gives leadership facts about AI adoption rather than estimates.

Active users per AI tool: Read monthly active users from the usage view and compare with seats you pay for.
Unused licenses: Count seats with no activity in a month, before and after you act on the first report.
Usage alerts acted on: Count alerts each month and how many led to a follow-up by the governance owner.

Before you start: List the AI tools you pay for and the number of seats on each. Note any usage figures you can get today.

These are things to track, not promised results. Outcomes depend on your data, your team and your market.

Running costs

The build price is one-time. Running the tracking afterwards costs roughly $20 to $300 a month in your own accounts, mostly hosting and the logging tools that hold usage data.

AI usage during build and testing also bills to your own accounts, so ownership of every provider relationship stays with you.

Ask about running costs

Custom requirements

Need to track usage across more than three connected systems, or more than five thresholds? Add a note at checkout for a written Change Quote, while your original order keeps its normal timeline. Larger or bespoke projects use the Custom AI request form.

Request a custom version

Keep it running

Monthly maintenance covers monitoring, fixes, updates, a monthly health report and change hours for a new threshold or an extra system as usage patterns shift. It starts after the 30 days of support.

$295/mo (5% of the build price a month, includes 2 change hours)

Optional. Starts after the post-launch support period. Cancel any month.

How maintenance works

How this compares

	Do it yourself with a SaaS tool	Hire a custom agency	Upmark Labs
Price	A usage analytics platform bundles this into a broader subscription	A consultancy bills for a usage audit	Ours is one fixed price, shown on this page before you buy
Scope	An analytics platform tracks whatever event you wire up yourself	An agency audit's scope depends on how it was billed	Ours is written to the AI tools and systems you name
Delivery	An analytics platform still needs real setup before data is meaningful	A usage audit is often a point-in-time snapshot	Ours has a fixed delivery time shown before you buy, with faster options
Timing	An analytics platform's alerts depend on how it was configured	An audit only shows usage at the moment it was run	Ours tracks in real time, not as a one-off snapshot

Questions about this product

How much does AI Usage Monitoring cost?

The build is one fixed price covering everything on the Scope Card: connecting up to three systems, setting up usage tracking, defining the patterns and thresholds worth flagging, and reporting, with a recorded handoff. The price panel on this page shows the figure at each delivery speed. Ongoing hosting is modest and paid in your own accounts, not to us.

What does AI Usage Monitoring cost to run each month?

Running the tracking afterwards costs roughly $20 to $300 a month in your own accounts, mostly hosting and the logging tools that hold usage data. There is no separate platform license on top of that figure. The exact cost depends on how many systems you track and how much activity they generate.

How is AI Usage Monitoring different from AI Model Inventory?

AI Model Inventory is a slow-changing reference list: which tools exist, who owns them, what they are for. AI Usage Monitoring instead tracks how much each tool is actually being used, in real time, which changes constantly. Most organizations build the inventory first, since usage monitoring needs a known list of tools to track before it can report against any of them.

What happens when AI Usage Monitoring flags a usage pattern?

The pattern, such as a spike or an unusually quiet tool, routes to Slack or a written report with the detail behind it, so your governance owner can look into it. The monitor reports the pattern; it does not decide whether the usage is a problem or restrict access on its own, because that call sits with a qualified person on your team.

Can we track more systems or adjust AI Usage Monitoring thresholds later?

Yes. Adjusting a threshold, or refining what counts as a pattern worth flagging, usually fits inside the monthly change hours in maintenance. Tracking a fourth or fifth connected system beyond the three in scope, or a sixth threshold, goes through a Change Quote agreed before that extra tracking work starts on it.

Can we cancel AI Usage Monitoring maintenance later?

Yes. Maintenance runs month to month with no lock-in, so you can cancel any month once the 30 days of included support has ended. If usage patterns stay steady, you may not need it every month. While active, its change hours cover a new threshold or an extra system as usage patterns shift.

Who owns the usage data AI Usage Monitoring collects?

You do. Usage records live inside your own connected systems, such as the logging tools you already hold accounts with, not a platform we control. We build the tracking and hand it over with an admin guide and a recorded session, and every threshold, report and pattern stays fully visible and editable by your team.