Ballet

What it does

Ballet is a workflow automation platform that builds integrations and executes multi-system processes through conversational AI. Users describe a workflow in chat, and Ballet's AI generates the necessary code, writes integrations to any API, and runs the completed workflow at scale. The platform handles tasks that span multiple systems—such as CRM, billing, databases, and internal services—without requiring custom engineering work.

Who it is for

Ballet targets operations, sales, customer success, and marketing leaders who manage repetitive processes involving multiple business systems. The platform is designed for teams that need to automate knowledge work currently handled manually across undocumented or legacy systems. Examples shown include deal closeout handoffs, customer refund processing, event attendee enrichment, and duplicate account detection.

Pricing

Pricing is consumption-based, measured in runs and tool calls. The site displays a workspace usage example showing $2,603.62 for 24,048 runs and 3,648 tool calls, and lists individual playbook costs (such as $883.87 for Slack Support Triage and $256.80 for RFP Response Drafter), but does not specify per-run or per-call rates.

How it stands out

Ballet emphasizes deterministic execution—the same input produces identical output across runs—which appeals to compliance and finance concerns. The platform includes replay functionality to audit and step through any workflow execution from months prior with original data. It integrates with both documented APIs (Salesforce, Zendesk, Stripe) and undocumented internal systems, and generates human-readable code that engineering teams can review and maintain. Execution times shown for example workflows range from 7 to 8 seconds end-to-end.

What a founder should check

Prospective competitors should verify the reliability claims around determinism and replay accuracy across different API types and failure scenarios. Investigate switching costs by understanding how locked-in users become once workflows are built and integrated with legacy systems lacking public documentation. Finally, examine the pricing pressure point: since Ballet charges per run and tool call, determine whether high-volume automations become prohibitively expensive, or whether incumbents could match this model while leveraging existing enterprise relationships.