Review unused seats
Compare paid seats with measured activity. Keep not-measurable distinct from genuinely idle.
AI cost, usage and return
The AI bill is
only half the story.
Real-time visibility across your AI tools. Understand usage and cost, find opportunities to save, and connect spend to the work delivered.
Your quotas. Your team's costs. Your business's return.
Across the surfaces your people use
AI subscriptions · Coding agents · Model APIs · Workstation usage
View integration coverage01 / VisibilityFirst, see
First, see
where it goes.
See usage as it happens. Reconcile it with what you pay.
A subscription here. An API key there. An agent running on someone's workstation. Bring those costs into one view, then follow them to the tool, person, team or project.
- Live workstation usage alongside billing periods
- Provider and model detail, without losing the team view
- Missing prices and stale sources stay visible
Freshness depends on the source. A live usage estimate is not a settled invoice.
02 / OptimizationThen ask what
Then ask what
earns its place.
Which seats get used? Which plans fit? Where is the budget going?
Match plans to usage
Compare subscription cost and usage when a valid price basis is available. Do not guess when it is not.
See where budgets stand
Follow consumption by team and project. Keep reporting separate from caps enforced by your gateway.
03 / ROI and returnKnow the cost of work.
Know the cost of work.
Build the case for value.
AI spend is only half the story. Connect it to the people, projects and outputs behind it.
A shared ontology brings cost, usage and work evidence into the same business model. Traceable allocation makes cost per output and throughput understandable, not a black box.
Join the signalsCost · Usage · WorkSource evidence, with coverage visible
→Understand the contextPerson · Team · ProjectOne ontology, deterministic allocation
→Measure the workCost per output · ThroughputEvidence for your ROI decision
Your business context makes the difference.
Relate the people, teams and projects behind your AI spend to the work recorded across your business. See the cost of delivering it, how much gets done, and how that changes over time.
One traceable model, from the source signal to the allocation and the output. Explore the evidence when you need it; keep the decision view simple.
Meet the ontology layerDirect evidence and allocated links remain distinct. Cost per output informs ROI; it does not establish causation.
Personal → Team & Business → EnterpriseStart with your usage.
Personal
Team & Business
Enterprise
Start with your usage.
Grow into your business's ROI.
The same foundation, with more context at every level.
Stay on top of your AI.
Live usage, quotas and limits across tools. Understand your own cost and the work it supports.
AI tools + local usageGitHub + Trello
Your question: What am I using, and what do I have left?
Start with personal visibility →Make the team budget count.
More cost sources. Shared work signals. Allocate spend, spot unused capacity and follow delivery against the budget.
Billing + team mappingJira + Slack + GitHub
Your question: Where can our team spend better?
Explore team reporting →Measure value across the business.
Bring organization, service, revenue and delivery signals into the ontology. Connect allocated AI costs to output, throughput and business value.
Salesforce + ServiceNowDatabricks + enterprise data
Your question: What work and value does our AI investment deliver?
See the business model →Source examples include available and planned integrations. Check current connector coverage.
Control stays with youLocal collection.
Local collection.
Governed business reporting.
The workstation collector and the business application are separate products with a shared data path.
Start with consent-aware local visibility. For company reporting, connect the declared data sources and organization mapping. Access determines what each person can see.
CollectorPersonal usage on your workstation
Business layerIngestion, mapping and allocation
ReportingIndividual, team and finance views
Deployment and connector availability vary by profile. See the supported scope.
Coming soonWhat would you like
What would you like
to know about your AI spend?
Tell us about your tools, your team and the question you cannot answer yet.