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Sycamore

Enterprise platform for building, deploying, and governing AI agents and business applications.

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Product Overview

What is Sycamore?

Sycamore preview

Sycamore combines software creation and agent governance in one enterprise platform. Forge turns business requirements into applications, integrations, and coordinated agent workflows, with review, testing, and deployment built in. Guard manages both internal and third-party AI systems through ownership tracking, approval workflows, runtime policies, cost monitoring, and audit records. Together, they help organizations automate complex processes while retaining operational control.


Key Features

  • Business-to-Software Generation

    Transforms business goals, documents, and process knowledge into reviewable plans, working applications, and agent workflows.

  • Enterprise System Integration

    Connects to existing CRM, data, document, ticketing, and communication systems through approved connectors, APIs, and MCP tools.

  • Controlled Deployment

    Supports testing, release reviews, environment-specific access, monitoring, and rollback across managed, dedicated, or customer-owned cloud infrastructure.

  • Centralized Agent Governance

    Registers internal and external AI systems, assigns ownership, and applies configurable risk assessments and approval workflows.

  • Runtime Policy Enforcement

    Controls model, tool, and data access with agent identities, approval gates, budgets, and the ability to pause or revoke execution.

  • Operational Monitoring and Audit Evidence

    Tracks activity, latency, token usage, and spending while preserving tamper-evident records for audits and security reporting.


Use Cases

  • Cross-Team Process Automation : Build coordinated workflows for business processes that span multiple departments, systems, and approval steps.
  • Custom Internal Applications : Create operational tools, dashboards, and interfaces tailored to existing business systems and organizational requirements.
  • Enterprise AI Governance : Maintain a shared inventory of AI systems and standardize ownership, risk reviews, permissions, and operating boundaries.
  • Agent Cost Management : Monitor model and tool spending, set budgets and rate limits, and identify unexpected usage.
  • Audit and Security Reporting : Provide traceable records of approvals, access, policy decisions, and agent activity through evidence exports and SIEM integrations.

FAQs

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