Enterprise AI governance across every provider, team and region
AgentNuro gives large organizations one way to see, attribute and control AI. Every tool and agent from every provider in one inventory, spend broken out by team and region, and policies set once for the enterprise and owned by each business unit.
Starts read-only. Nothing changes for your users, teams or agents.
Enterprise AI spend, last 30 days
Total AI spend
$1,286,400
OpenAI$402,100
Anthropic$318,500
Microsoft Copilot$214,800
Google Gemini$176,200
AWS Bedrock$98,300
Azure AI Foundry$76,500
Six providers, measured the same way.
6providers connected
41teams with an owner
4regions, one policy set
How do you govern AI centrally without slowing every team down?
Set the guardrails once for the whole enterprise. Let each business unit own its budget, models and agents inside them. Pick a business unit to see which policies apply to everyone and which belong to that unit.
Applies to every business unitSet by IT and the AI governance team
Approved modelsOne enterprise list every unit chooses from
Enterprise AI budget$1.5M a month, with an alert at 90%
Kill switchStop any agent whose spend breaches policy
Unsanctioned AI reviewNew AI tools flagged to IT with users and spend
Business unit
Customer Service
Owner: M. Alvarez
Spend this month against budget$198,400 of $260,000
76% used. On track.
38agents owned
22AI tools in use
4unsanctioned, flagged
Models in use:OpenAI GPT models, Anthropic Claude models
The owner sees this unit’s spend, agents and alerts. IT sees every unit side by side.
Real-time enforcement applies to AI traffic routed through the AgentNuro gateway. Policies are yours to define; the ones shown are examples.
Do you have to re-route every AI call before you can govern it?
No. See everything read-only first. Enforce in real time where it matters.
Most enterprises can’t move every application onto a new path at once. AgentNuro covers the whole estate read-only, then adds real-time control for the apps and agents you choose to route.
AgentNuro InsightRead-only, across everything
COVERS
OpenAI, Anthropic, Google usage and billingMicrosoft Copilot seatsPower Platform and Copilot Studio agentsAWS Bedrock, Azure AI Foundry, Gemini Enterprise agentsUnsanctioned AI tools
GIVES YOU
One inventory of AI tools and agents, with owners
Spend by user, team, project, model and agent
Copilot adoption and seat actions
Totals matched to provider bills
AgentNuro ControlReal time, through the gateway
COVERS
Apps and agents you route through the gatewayOne business unit or many
GIVES YOU
Budgets and approved models enforced per request
Routing to lower-cost models
Kill switch, manual or automatic
Token-level cost for every request
What does an enterprise AI governance rollout look like?
Most enterprises start read-only, give every tool and agent an owner, then add enforcement one business unit at a time. Select a phase to see what is in place after it.
Phase 1 of 4
In place after Map
AgentNuro Insight
Read-only connections to AI providers, your Microsoft tenant and cloud agent platforms
A first view of AI tools, agents and spend across the enterprise
Unsanctioned AI tools surfaced with users and spend
Coverage
The providers you connect, read-only. Nothing changes for users or agents.
Who’s involved
ITAI governance lead
Frequently asked questions
No. Inventory, spend and adoption come from read-only connections to your AI providers, your Microsoft tenant and your cloud platforms. The AgentNuro gateway is optional. You add it for the apps and agents you want to control in real time, and enforcement applies only to that traffic.
AgentNuro lists agents deployed on Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry and Microsoft Power Platform, including agents built in Copilot Studio, with each agent's owner, usage and cost.
Yes. Spend is attributed by user, team or department, project, model and agent, and teams roll up into the regions and business units you operate in. Each region sees its own total, and IT sees them side by side.
No. Visibility comes from usage, billing and inventory data. When traffic runs through the gateway, prompts are analyzed in real time to route each request to the right model, and the prompt content is not stored.
Every AI tool in use is listed with its users and spend. Tools IT has not approved are flagged for review, so each one can be approved, replaced with a sanctioned option or retired.
Yes, for agents routed through the gateway. The kill switch can be triggered manually, or automatically when an agent breaches a policy you define, such as a daily spend limit.
AgentNuro Insight matches totals to the bills it pulls from each provider's API. AgentNuro Control's token-based numbers are available in real time, before the bill arrives, and come very close to the final invoice, though an exact match can't be guaranteed.
Yes. Budgets are policies you set per team or business unit, with alerts to the owner as spend approaches the limit. For traffic routed through the gateway, budgets are enforced in real time.
Yes. AgentNuro shows active users, adoption by app and a usage tier for every licensed user, from power users to dormant, with a recommended action and the potential savings for each.
Yes. The free AI spend map connects read-only and needs no sales call. Many teams start with one business unit's providers and expand from there.
Yes. Talk to us about adding AgentNuro to your existing CloudNuro agreement, including public-sector contracts.
No. AgentNuro complements registries and workflow tools such as ServiceNow or SAP LeanIX. They keep the process; AgentNuro supplies live usage and spend by team, project, model and agent across every AI vendor.
See every provider, team and region in one AI spend map
Connect read-only and see your AI tools, agents and spend by team and region. Start with one business unit or the whole enterprise. No sales call required.
