AI cost governance is a critical path for AI FinOps

Avoid unexpected AI program costs by observing and controlling AI resource consumption.

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The hidden AI fragmentation tax is destroying gross business margins

Unexpected AI program costs are destroying business margins. 84% of organizations see >6% erosion, and 26% report erosion of 16% or more. And this has nothing to do with planned investment. 

The problem? Fragmentation and a lack of visibility into and control of AI resource consumption across various environments, infrastructure, and tools.

Unify your AI cost governance posture. Outcompete competitors that can’t turn AI profits.

Unify visibility

Avoid the #1 cost governance challenge for AI teams. Observe all AI resource consumption across LLMs, MCP, APIs, and event streams from a single platform.

Unify resource consumption controls

Visibility isn’t enough. Define resource consumption limits as entitlements, and enforce those limits at runtime.

Drive maximum revenue potential

Margins aren’t just about cost control. They’re also about revenue. Layer on monetization for agents and AI resources to bolster margins through new rev gen.

Here’s how it works

Observability and analytics for all AI resource consumption

Capture consumption data across agents, LLMs, MCP servers, MCP tools, APIs, and event streams. View those analytics directly in the Konnect platform, or pump them out to your in-house observability solution.

Map consumption metrics to entitlements

Map resource consumption against defined resource subscription tiers and entitlements.

Enforce critical AI resource consumption limits

Enforce limits around MCP server consumption, LLM token usage, API requests, and event streaming volume. 

Related Resources

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AI Monetization

Expand monetization efforts to more than just APIs.

Questions about agentic workflows?

Contact us today and tell us more about your configuration, and we can offer details about features, support, plans, and consulting.

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