Loading the form
For Chief AI Officers and AI leaders
AgentNuro gives Chief AI Officers, Heads of AI and AI transformation leaders one vendor-neutral view of the AI program: which teams have adopted AI, every agent and its owner, what each initiative costs by team, project, model and agent, and the policies that keep it in bounds.
Read-only to start. Nothing changes for your users, teams or agents.
Active AI users
3,14075% of employeesAI initiatives tracked
186 in productionAI spend attributed
$412,600by team, project, model and agentAPI spend under policy
64%routed through the gatewayRead-only: visibility from provider, platform and billing APIs. Gateway: real-time policy on traffic routed through AgentNuro Control.
Three questions come up in every AI review. Today the answers sit in different consoles, invoices and surveys. AgentNuro answers all three from one set of data.
The titles differ from one organization to the next, and so does the mandate. Pick yours to see what you can prove, what you can act on and where to start.
Five views AI leaders use most. Select one to see it.
Usage tiers
Licensed users active in each app
See who uses AI, how often and in which apps, across every licensed tool. Every licensed Copilot user lands in a usage tier, with a recommended action for each.
Usage and adoption are part of AgentNuro Insight and come from read-only connections.
Govern Microsoft Copilot and agentsAgents deployed on Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry and Microsoft Power Platform appear in one inventory with their owner, usage and cost.
Agent discovery is read-only and does not change how agents run.
AI Tool InventorySpend by model
Token split
Spend by model
Token split
Spend by model
Token split
Each initiative gets its own cost line, broken out by model and token type, instead of disappearing into one monthly bill per vendor.
Pair these numbers with the outcome measures each business owner already tracks, such as cases resolved or cycle time, to report return per initiative.
AI Cost AttributionAgentNuro Control applies the policies you define to AI traffic routed through its gateway. The examples here are samples: you create your own.
Real-time enforcement applies to traffic routed through the AgentNuro gateway.
AgentNuro ControlAlongside the gateway: AgentNuro Insight reads usage, billing and agent inventories from provider and platform APIs, read-only.
Applications and agents call models through the AgentNuro Control gateway, so routing, caching and policy live in one place instead of in every app.
Start with one application. Everything else stays visible read-only through AgentNuro Insight.
AI Model RoutingStart read-only and add real-time control when initiatives reach production. Both tiers share one view, so nothing is rebuilt along the way.
Know who is experimenting with AI, and with which tools.
AGENTNURO ADDSUnsanctioned AI discovery and a live inventory of AI tools and agents.
Show adoption spreading and give every dollar of spend an owner.
AGENTNURO ADDSAdoption by team and app, and cost by team, project, model and agent.
Keep production AI inside agreed budgets and approved models.
AGENTNURO ADDSBudgets, approved models and a kill switch on gateway traffic.
Make sure every request costs no more than it should.
AGENTNURO ADDSModel routing and semantic caching, with savings shown per route.
AgentNuro supplies the adoption and cost side of the equation for every initiative: who uses it, how often, and what it costs by team, project, model and agent. Pair those numbers with the outcome measures your business owners already track, such as cases resolved or cycle time, to report return per initiative from consistent data.
No. Adoption, the agent inventory and spend come from read-only connections to your AI providers, your Microsoft tenant and your cloud platforms. Add the AgentNuro Control gateway when you want real-time enforcement. It applies to the traffic you route through it.
Read-only visibility covers model providers such as OpenAI, Anthropic and Google Gemini, licensed Microsoft Copilot, and agents deployed on Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry and Microsoft Power Platform, including agents built in Copilot Studio. The Control gateway works with a broad and growing set of model providers.
Yes. Unsanctioned AI discovery flags AI tools in use that IT has not approved, with the number of users and the spend behind each, so you can approve, replace or retire them with evidence.
Your framework and risk register define policy and record assessments. AgentNuro shows how AI is actually used and what it costs, and enforces the runtime policies you define, such as approved models, budgets and the kill switch, on traffic routed through the gateway. Your framework sets the rules; AgentNuro supplies the live evidence.
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.
Yes. AgentNuro can be ordered through SHI, Insight and Carahsoft, and you can talk to us about adding it to an existing CloudNuro agreement. Microsoft Copilot reporting has been tested in Microsoft GCC.
Yes. CloudNuro holds a SOC 2 Type II report. Security documentation is available in the CloudNuro Trust Center at trust.cloudnuro.ai.
Start with a free AI spend map. Connect read-only, no sales call required.
Loading the form