CloudIntelligence Expands AI Governance Platform for Agentic Workflows

The platform, known as AICost.ai, operates through a collection of 120 deterministic decision engines that evaluate the entire lifecycle of an AI project—from initial pilot economics to the deployment of autonomous agents. Unlike standard monitoring tools, this system acts as a policy layer that integrates with existing gateways and model routers. By utilizing the Model Context Protocol (MCP) and REST, it enables organizations to enforce budgets and quality guardrails in real-time, preventing the common issue where experimental projects balloon into unmanageable recurring costs.

Subramanyam Vdaygiri, founder of CloudIntelligence, emphasized that modern enterprises are facing a convergence of cost and governance challenges. The platform's CostWall feature allows companies to define specific rules for model routing, data residency, and token limits, which the system then enforces at the point of execution. This approach addresses the volatility introduced by agentic workflows, where recursive loops and retries often cause consumption to deviate significantly from initial forecasts. Through its calculator playgrounds, the company offers free access to tools that help engineers and CFOs model the impact of their AI stack, ensuring that financial planning is based on verifiable data rather than assumed savings.