Your organization is adopting AI faster than it can track it.

ZuzAI connects usage to adoption, adoption to impact, and governs the spend before it hits the bill.See every AI flow.
Govern every AI dollar.

Talk to Us How ZuzAI works

The questions your board is already asking

Where did every AI dollar go last month, and could you prove it to your CFO?

Every request attributed to the user, team, tool, repository, and initiative behind it, across every AI vendor.

Cost attribution dashboard: $2,817,332 split by unit, with Customer Success at $122,073, Product & Engineering at $2,385 and Data & Analytics at $429,837.

Which AI spend should you cut, and which should you double down on?

Most organizations can't tell the two apart, so they treat them the same. Recommendations across seats, plans, models, and prompts, tied to adoption, so every dollar goes where it earns the most.

Is your AI budget a plan, or a guess? Most budgets are set before anyone understands how AI is actually used.

Budgets by business unit and team, live against forecast, with every commitment tracked to its balance.

Cost attribution by tool: M365 Copilot $1,389,360, Claude $523,237 and Cursor $246,208, next to model share of turns per tool.

You gave everyone AI. Who actually works differently, and who never came back?

Adoption measured on spend, active days, and impact, not logins, with drill-down by team and person.

Which AI tools, MCP servers, and skills are your people using that nobody approved, and how would you even find out?

AI Discovery finds the shadow AI that IT doesn't manage, and the inventory shows every MCP server, Skill, and Artifact in use.

AI Tool Discovery with a 2026 budget pace chart, and the AI tools found in use around the ZuzAI mark.

You can set a spend limit inside one AI tool. But people don't work in one tool, so who sets the limit for the person, across all of them?

Limits are set tool by tool, so a heavy user simply moves to the next one. One limit per user across every tool, enforced in real time: warn, then downgrade, then block, with an audit trail for every change.

Most tools explain what you spent.

ZuzAI Decides Before you Spend it.

Prompt, request, the spend, invoice, report. ZuzAI acts here, inline, before the spend: on the prompt and the request. Cost dashboards report here, after the fact: on the invoice and the report.

Every AI interaction, on one ledger.

Example ledger: each AI request with its time, user, team, tool, model, cost, the decision ZuzAI made, and the repository, highlighted one at a time.

Cut the waste. Fund what works.

Reduce

  • More model and more thinking than the task needs
  • Bloated prompts and repeated context
  • Prompt caching left on the table
  • Overlapping assistants per person
  • Runaway sessions

Expand

  • Teams where AI measurably pays back
  • Initiatives with proven ROI
  • Budget that follows yield
  • What your best teams do differently
  • Tools people actually use

ZuzAI is not only about spending less on AI. It is about investing in it better.

Runs inside your own tenant. Governs every AI tool your teams already use.See every AI flow.
Govern every AI dollar.

Talk to Us

Works with

  • Claude
  • ChatGPT
  • Gemini
  • xAI
  • Microsoft 365 Copilot
  • GitHub Copilot
  • Cursor
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud