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AI-powered workspace for building and automating workflows.

Ship AI agents that automate deep work, enabling domain experts to build and evolve AI-native solutions.

Riff is an AI agent platform designed to automate deep work within enterprises. It enables domain experts, rather than dedicated AI engineers, to build and deploy AI agents for tasks such as order to cash, procurement, finance operations, and planning & fulfillment. The platform uses a conversational interface to describe workflows, which it then translates into complete AI architectures, including agents, tools, and APIs in Python and FastAPI. Riff emphasizes engineering rigor with features like model swapping, MCP tool exposure, and audit-ready code deployment that is IT-approved from day one. Key use cases include automating order hold triage, handling delivery and invoicing exceptions, and managing dispute and deduction cases. It integrates with existing enterprise systems to read, write, and close the loop on automated processes.
Riff is an AI agent platform designed to automate deep work within enterprises.
Explore all tools that specialize in decision routing. This domain focus ensures Riff delivers optimized results for this specific requirement.
Converts workflow descriptions into full-stack AI agent architectures including agents, tools, and APIs in Python and FastAPI.
Allows users to easily swap different AI models within the generated architecture to optimize for performance or cost.
Exposes agent tools via a modular component platform, facilitating reuse and integration across multiple agents and workflows.
Provides security and governance features for IT to validate access, security, and compliance from day one.
Generates standard Python and FastAPI code that is readily auditable, ensuring transparency and trust.
Week 1: Technical setup and governance validation by IT.
Week 1-4: Domain experts begin building solutions on real data with Riff support.
Week 4-8: Harden MVPs for production and stress-test against enterprise requirements.
Ongoing: Deploy workflows live in daily operations and measure ROI.
Ongoing: Define roadmap for broader rollout, with each agent accelerating the development of the next.
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