Analyst workflows with AI teammates

Analyst work depends on the right source material. Alloy Storage lets teams upload files, organize folders, search current knowledge, and share selected folders with the AI teammates that need them.

AI teammates can use shared storage to find relevant documents, read files, and work from approved context instead of guessing.

AI teammates can do more than answer questions. With approved tools, they can search, read files, check URLs, run code, call teammates, schedule follow-ups, and use other enabled actions.

That makes Alloy useful for analyst workflows that combine research, structured steps, and operational follow-through.

Organizations can register MCP servers and assign them to the AI teammates that need access. This lets teams connect AI work to approved external systems without giving every teammate every tool.

MCP access is managed at the organization level and enabled per AI teammate.

Some analyst work needs to run the same way every time. Alloy Workflows let teams build structured processes with steps such as running a skill, calling an AI teammate, using a tool, running code, asking for human input, using an LLM step, sending a message, and finishing with a result.

Use workflows when an analysis process needs structure, review points, and repeatability.

Alloy includes table views for filtering, search, pagination, column control, and export where those capabilities are configured. Execution logs show workflow runs, statuses, filters, run details, tool calls, and related context.

Analysts get a workspace that can support both the work and the review trail.