Is your company ready to manage them?
AI tools, copilots, and agents now work alongside your team — generating code, closing deals, running processes. But unlike human contributors, they have no operating system managing their cost, output, or governance.
The Canister extension is the telemetry layer. It captures AI activity and spending signals across every tool your team uses. The platform turns those signals into governance — attribution, budgets, policies, and ROI measurement.
Finance and Engineering see the same AI contributors through different lenses. Canister speaks to both.
Human labor has Workday. Software has Vendr. Real estate has a facilities team. AI contributors have nothing — yet they're your fastest-growing cost line.
AI spend happens across dozens of tools, teams, and projects simultaneously. Many companies discover significant AI spend that is unattributed or unmanaged — with no project link and no explanation for the finance team.
Spend goes in. Work comes out. Nobody connects them. Attributing AI work to projects and workflows is currently a manual, inconsistent process — which means ROI is a guess, not a number.
Only 35% of AI tool adoptions go through proper approval channels. Without the ability to enforce policies for AI tools and agents, your organization is running contributors you've never hired and can't govern.
AI agents and autonomous workflows increasingly consume company resources — compute, API calls, third-party services. As agent usage grows, this becomes your largest ungoverned contributor with no existing controls.
Capture AI activity and spending signals. Attribute AI usage to projects and workflows. Enforce policies and allocate AI capital intelligently.
The Chrome extension detects every AI tool session and captures usage signals — time, cost, tool, user. Shadow AI surfaces automatically. Two minutes to install, zero config.
Connect your work systems. Canister attributes AI spend to the right project, team, and cost center — and correlates it with what was actually produced. Cost per PR. Cost per deal closed.
Set vendor allowlists, project attribution requirements, and AI resource budgets by team. Connect your financial systems. The CFO gets the first honest view of AI ROI — and the data to invest more in what works.
Governance without enforcement is just a dashboard. Virtual cards make policies real — for employees and for agents.
Every employee gets a Canister virtual card for AI tool purchases. Spend is attributed to projects automatically. No manual categorization. No end-of-month reconciliation. Finance has a clean line of sight from day one.
As AI agents consume API credits, compute, and third-party services autonomously, Canister issues per-agent virtual cards with hard spending limits. Agents that exceed budgets stop — automatically. No runaway costs.
Not activity metrics. The financial and governance signals that answer the board's questions about AI investment.
Budgets and policies are the floor. AI capital management is the ceiling — allocating AI investment to the contributors that generate the best return.
Identify idle tools, redundant subscriptions, and unattributed spend before it compounds. Most companies find significant savings in the first 30 days.
Know which AI tools generate the best cost-per-output. Shift budget toward contributors that work. Build the data foundation for every future AI investment decision.
Set vendor allowlists, attribution requirements, and agent spending limits. Governance that scales with your AI contributor count — not just a policy document.
Companies that can demonstrate AI ROI attract more investment in AI — from boards, from leadership, and eventually from capital markets. Canister builds that data foundation from day one.
Canister exposes a programmable interface so internal systems and AI agents can query governance signals directly — before they spend.
Internal tools, CI pipelines, and AI agents can query Canister's governance API to check budget status, enforce policy constraints, and retrieve spend attribution — before making decisions that cost money.
Available signals: AI spend by project and team · Vendor usage breakdown · AI Governance Score · Budget policy enforcement · Shadow AI detection · Agent cost attribution
Once you have 12 months of AI efficiency data, you can make capital allocation decisions nobody else can. Which tools generate the best return. Which teams deploy AI most effectively. Where to invest more — and where to stop.
Canister builds that data foundation from day one. The governance infrastructure today becomes the investment intelligence tomorrow.
Every other material contributor to your business has management infrastructure. Human labor has Workday. Software has Vendr. AI contributors have nothing — yet they're growing faster than any of them.
The infrastructure doesn't exist. We're building the category.
We'll show you what's actually happening with AI work in your org — attribution gaps, shadow tools, waste — in 20 minutes. No pitch deck. No sales cycle.