Dust Review

Dust lets teams create custom AI agents without code by defining instructions, selecting models, and connecting internal tools and data sources. Dust agents can then answer questions, run workflows, and support employees inside existing work environments.

Dust is built for operations, support, engineering, IT, marketing, legal, and people teams that manage repetitive knowledge work. Dust fits organizations that want AI assistants connected to internal systems rather than generic public chatbots.

Dust connects to workplace systems such as Slack, Google Drive, Notion, Confluence, and GitHub. Dust uses these integrations to retrieve company context, power search, and let agents answer questions using current internal information.

Dust includes role-based permissions, private spaces, and enterprise controls such as SSO and SCIM. Dust also states encryption in transit and at rest, data residency options, and controls for sensitive company information.

Dust automates recurring internal workflows by using agents that execute actions and respond to requests. Teams use Dust for ticket routing, document creation, meeting summaries, onboarding steps, and standardized internal responses.

Dust helps support teams connect agents to knowledge bases for faster responses and more consistent answers. Dust also supports FAQ generation, ticket triage, and surfacing relevant documentation during customer conversations.

Dust operates inside existing workflows through native integrations such as Slack and a Chrome Extension. Dust reduces context switching by bringing agents and company knowledge into tools employees already use daily.

Dust is designed for quick deployment because teams can create no-code agents and connect data sources through prebuilt integrations. Initial value usually comes after connecting core knowledge systems and publishing a first internal agent.

Dust lets teams query connected company data and generate reports or summaries through AI agents. Dust is used by non-technical teams to access information faster without waiting for manual data pulls.

Dust focuses on enterprise agent orchestration, governed access, and connections to internal company systems. Dust combines custom agents, workspace controls, and operational workflows so teams can deploy AI across multiple departments.