Ballet

Product Introduction

1. Definition: Ballet is a next-generation workflow automation platform (specifically, an AI-powered workflow-as-code platform) that translates plain-English descriptions of complex business processes into executable, version-controlled code. It automates multi-system workflows across a company's revenue stack.
2. Core Value Proposition: It exists to eliminate the engineering backlog for complex operational automations. Ballet enables operations teams (RevOps, Sales Ops, Support Ops) to autonomously build, run, and maintain sophisticated workflows that connect both SaaS tools and proprietary internal systems, bypassing the need for manual coding or limited pre-built connectors.

Main Features

1. Plain-English to Code Generation: Users describe a desired workflow outcome in natural language. Ballet's AI then generates the corresponding workflow as reviewable, version-controlled code (e.g., Python scripts). This process abstracts away the need for API-specific knowledge, allowing for rapid prototyping and deployment.
2. Deterministic Execution with Selective Agentic Reasoning: The platform prioritizes deterministic, predictable execution for critical steps (like data updates or financial transactions) to ensure accuracy and auditability. It selectively employs AI agentic reasoning only for steps requiring judgment or flexibility, such as data enrichment or classification, combining reliability with adaptability.
3. On-Demand API Integration & Auditability: Unlike platforms reliant on a fixed library of connectors, Ballet can generate integrations against any API on-demand, including internal, proprietary systems. Every workflow run produces a full audit log. The platform features one-click rollback, simulation modes for testing, and granular permission controls to define how much a workflow can autonomously execute.

Problems Solved

1. Pain Point: The "integration gap" where valuable growth, revenue, and support operations ideas stall because they require connecting multiple systems (SaaS and internal) and cannot wait for engineering resources. This leads to manual work, data silos, and lost revenue opportunities.
2. Target Audience: Revenue Operations (RevOps) Managers, Sales Operations Specialists, Support Operations Teams, and Product-Led Growth teams in mid-to-large-sized companies with complex tech stacks. These personas understand business processes but lack the engineering resources to automate them.
3. Use Cases: Essential for automating complex, multi-system processes like: real-time lead enrichment and routing based on product usage data; detecting and alerting on "account surge" signals from product telemetry; processing order amendments or contract changes that require updates across CRM, billing (like Stripe), and support systems without engineering tickets.

Unique Advantages

1. Differentiation: Compared to traditional tools like Zapier or n8n, Ballet doesn't rely on a pre-built connector library, enabling integration with proprietary systems instantly. Compared to AI agents (e.g., Claude), Ballet provides deterministic, auditable code for core steps, avoiding the unpredictability and high cost of pure agentic workflows.
2. Key Innovation: The hybrid "workflow-as-code" model. The core innovation is treating the generated automation as first-class, version-controlled software—allowing for engineer review, approval, and the application of software development best practices (like rollbacks and simulations) to business operations, which is typically inaccessible to non-technical teams.

Frequently Asked Questions (FAQ)

1. How does Ballet ensure accuracy and avoid errors in automated workflows? Ballet ensures accuracy by generating deterministic, reviewable code for critical workflow steps, providing a full audit log for every run, and offering a simulation mode to test workflows before live execution. Approval gates and one-click rollback further mitigate risk.
2. Can Ballet connect to our company's private/internal APIs and databases? Yes, a key advantage of Ballet is its ability to generate on-demand integrations against any API, including private internal systems, databases (like BigQuery), and custom services, which are typically beyond the scope of traditional workflow automation tools.
3. Is Ballet suitable for simple, single-step automations between common SaaS apps? For simple, linear integrations between widely supported SaaS apps (e.g., Slack to Google Sheets), dedicated connector-based platforms may be more straightforward. Ballet is optimized for complex, multi-step workflows that involve logic, data transformation, and especially proprietary systems.
4. How does Ballet handle data security and compliance? As part of Brainfish, Ballet is covered by Brainfish's SOC 2 Type II compliance. All generated code is visible and version-controlled within the platform, and execution permissions are granularly controllable, providing a transparent and secure automation environment.
5. What technical skills are required for a team to use Ballet effectively? The primary user (e.g., an Ops manager) needs no coding skills to describe and initiate workflows. However, for approving and deploying the generated code, collaboration with an engineer or technically-minded team member is recommended to leverage the platform's full governance capabilities.