Ballet은 여러 시스템에 걸친 팀 프로세스를 검토 가능한 코드로 전환하는 워크플로 자동화 플랫폼입니다. 매출 및 운영 팀이 엔지니어링 대기 없이 사내 시스템을 연결할 수 있습니다.
Ballet is a workflow-automation platform for teams that need to connect multiple systems and keep those workflows running without relying on a large engineering effort. The site positions it as a way to take an outcome described in plain English—such as lead routing, attribution, renewal plays, or changes to pricing and SKUs—and turn it into a workflow that is built, run, and maintained by Ballet.
The product is described as an execution layer for team automations: users describe the result they want, and Ballet builds reviewable, version-controlled workflow code against the systems involved. The homepage emphasizes deterministic output where accuracy matters, with agentic reasoning used only where flexibility is helpful. It is also presented as a fit for teams whose ideas are stalled because they depend on connected systems and engineering roadmaps.
Describe the desired business outcome in plain language, and Ballet creates the workflow from that description. The site says the product can build automations from an outcome statement rather than requiring users to assemble a visual flow by hand.
Ballet produces workflow code that engineers can inspect, approve, and replay. This is presented as a deliberate alternative to opaque or brittle automation graphs.
The homepage says Ballet is built for integrations that traditional workflow tools may not handle well, including internal or proprietary systems. It is positioned to write the integration against an API when the workflow needs it.
The product distinguishes between steps that must stay consistent and steps that benefit from agentic reasoning. The result is meant to be stable on repeat runs while still allowing judgment in selected parts of the workflow.
Examples on the site include lead capture to CRM, account surge detection, and order changes that propagate through internal billing systems. These examples show Ballet being used for cross-system operational work rather than simple one-step task automation.
The comparison section says Ballet is auditable and provides transparent code. The FAQ also notes approval gates and replayable runs, which suggests teams can review and re-run automation behavior.
Marketing teams can use Ballet to capture inbound leads, enrich and dedupe them, score them against product usage, and route them without waiting for an overnight batch job or an engineering request.
Revenue operations teams can detect changes in product telemetry, enrich the signal with external data, and send a next-best-action to the right rep so outreach is based on current activity.
Ops teams or account executives can amend pricing or product terms and have those changes propagated through internal billing and related systems instead of handling each system separately.
Teams with backlog items that require several connected tools can bring one workflow to Ballet, model it in a working session, and get a version-controlled implementation without opening a new engineering project.
Ballet is a workflow-automation platform from the team behind Brainfish. It turns a multi-system outcome described in plain English into reviewable, version-controlled workflow code.
The site says connector-based tools can run into limits when the stack is proprietary or the workflow graph gets large. Ballet instead writes the integration against the needed API and runs the workflow as inspectable code.
Yes, where it matters. Ballet says it writes deterministic workflow code that engineers can read, approve, and replay, while using agentic reasoning only on steps that benefit from flexibility.
The FAQ says early access is for design partners with real multi-system workflows stuck behind an engineering queue, especially RevOps, Support Ops, and product-led growth teams.
The site says generated code is visible and version-controlled, with approval gates and replayable runs. It also says Ballet is part of Brainfish and covered by Brainfish’s SOC2 Type II compliance, with details in the Trust Center.
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