AI spend visibility

See every dollar your org spends on AI.By user. By team. By tool.

Cap8 connects to your AI providers with read-only keys and turns scattered usage into one clear picture — who is spending, on which models, and where it is slipping through unaccounted.

Read-only keys · No proxy · Metadata only — never prompts

The problem

AI is now one of your fastest-growing costs — and no one owns the bill.

Enterprise generative-AI spend hit $37B in 2025 — up 3.2× in a single year (Menlo Ventures). The invoice is vendor-based, but accountability is team-based:

IT

sees the users and licenses

Finance

sees the vendor invoices

Teams

see their own tools and usage

No single owner sees the whole picture — Cap8 makes it obvious.

See it in one place

Every provider, one breakdown.

Cap8 normalizes usage and cost across every connected provider and model into a single view — dollars where they exist, credits where they don't. Unmapped spend is surfaced, not buried.

  • Cost and tokens per provider and model
  • Credit-based tools kept in their own lane
  • Unmapped usage flagged for follow-up

AI spend · this month

$0

Sample data
ChatGPT Enterprise$0
Claude$0
GitHub Copilot$0
Cursor$0
Unmapped$0

Spend by person · this month

Sample data
DC

Dana Cohen

R&D · AI

$0
AL

Amit Levi

R&D · Backend

$0
SB

Shira Bar

Product

$0
NK

Noa Katz

Marketing · Content

$0
?

Unassigned

— needs attribution

$0

The differentiator

Every dollar has a name.

Most tools stop at “the company spent $X.” Cap8 attributes usage to the actual person behind it — from Enterprise SSO identities — and rolls it up to teams and departments. Anyone unmapped is flagged, never silently dropped.

Per-user attribution today for ChatGPT Enterprise and Claude Enterprise — assign people to teams in a click.

Why this matters now

AI spend is exploding. Visibility isn't keeping up.

Enterprise generative-AI spend · $B

$0.0B
2023
$0.0B
2024
$0B
2025

Source · Menlo Ventures

$0B

Enterprise generative-AI spend in 2025 — up 3.2× in a single year

Source · Menlo Ventures

0%

of the entire software market is AI apps — within three years of ChatGPT

Source · Menlo Ventures

0%

of companies have full visibility into their AI costs

Source · KPMG Global AI Pulse (WSJ)

0×

more likely to report established AI ROI with strong cost visibility (15% vs 3%)

Source · KPMG

The solution

One control layer above every AI tool.

Generic cloud-cost tools stop at a single bill. Cap8 attributes spend by user and team across AI providers, app builders, and cloud APIs — starting read-only, with visibility first.

View

Collect usage, invoices, and ownership across every AI tool — attributed by person, team, tool, and model, in one place.

Control

Set budgets, thresholds, and alerts by business unit, so a team or tool running hot is caught before the invoice is.

Optimize

Route work to the right tool and model for the job — by cost and policy — without changing how people work.

How it works

From scattered keys to your first AI-spend map — in under 15 minutes.

Read-only first — no risky change to how your teams work.

01

Connect

Point Cap8 at your AI sources with read-only keys — providers, app builders, and cloud APIs. Nothing to deploy, no workflow to change.

02

Audit

Cap8 normalizes every dollar by person, team, tool, and model — and flags the risks: unmapped spend, inactive seats, runaway usage.

03

Act

Get forecasts, alerts on runaway usage, and a clear owner for every line of AI spend.

Stop guessing where your AI budget goes.

See every dollar — by user, team, and tool — across your entire AI stack in under 15 minutes. Read-only, metadata only.