Intent Stream: Unlocking the network effect of AI agents across the enterprise

AI agents are typically built for highly specialized capabilities. Enterprise challenges, however, cut across functions, data, and workflows.

A tax question may require regulatory insight, financial data, and document analysis. A risk review may span policy, controls, and reporting systems. When work crosses boundaries, isolated agents create friction—handoffs stall, context is lost, and outcomes fragment. Emerging standards like MCP and A2A allow orchestration of multiple agents to solve complex tasks, but lack a common catalog capability listing agents available to do work.

Intent Stream is an AI agent that simplifies solving complex tasks using multiple agents in an organization by providing the ability to orchestrate work across agents in a common registry.. When a user requests work, Intent Stream plans how to accomplish based on available agents. Then it executes work by routing requests to the best suited agent for each task. Tasks are executed in parallel to reduce latency, and outputs are synthesized into a single, coherent response.

Intent Stream is framework-agnostic by design. Agent-builders across the organization can onboard their agents using MCP or A2A, or directly through Intent Stream APIs. This flexibility ensures innovation is not constrained by tooling decisions and allows enterprise teams to evolve their agent ecosystem over time.

From the user’s perspective, the experience remains simple: submit an intent through a UI or API. Behind the scenes, Intent Stream draws from a governed agent registry, invokes agents concurrently, and maintains shared context throughout the interaction.

Intent Stream leverages a custom evaluation mechanism built on its own framework, incorporating multi-dimensional scoring signals such as answer accuracy, contextual relevance, faithfulness to ground truth, and rubric-based qualitative assessment. These metrics are combined with agent response scores and continuous user feedback to dynamically evaluate agent performance. This enables the system to intelligently identify and route queries to the most suitable agent, improving overall user experience while driving higher precision and reliability in responses.

Intent Stream enforces strict data boundary controls. Sensitive information is routed only to approved agents operating within defined trust zones. All activity operates within enterprise governance standards, with comprehensive logging to ensure traceability, transparency, and operational oversight.

The result is more than connected agents—it is coordinated execution. Complex, multi-step engagements are delivered with greater cohesion and responsiveness, without relying on a single monolithic model and without compromising control.