An agentic AI team for delivering production software.
FlowAI turns a goal, ticket, or backlog item into a governed workflow run staffed by specialist agents. The platform plans the work, executes inside sandboxed workspaces, validates output, and keeps human review, audit, and billing controls in the loop.
FlowAI
Team Manager
Guardrails + Artifacts
One product surface for managing AI work like real team work.
FlowAI is designed for operators who need AI agents to work across engineering tasks without losing control of environments, credentials, cost, or delivery quality.
Agentic team management
A coordinating manager decomposes work, assigns specialist roles, tracks dependencies, and keeps each run moving through explicit quality gates.
- Goal-to-plan decomposition
- Role-based specialist assignment
- Run status, retry, and review visibility
Controlled execution runtime
Each task runs inside bounded workspace, network, and toolchain controls so generated work can be inspected before it reaches your systems.
- Sandboxed file and process execution
- Provider routing and runtime policy controls
- Durable artifacts and replayable run history
Production governance
Human approval, tenant isolation, usage metering, and audit trails are first-class product behavior rather than after-the-fact reporting.
- Human review gates
- Tenant and billing boundaries
- Audit-ready workflow records
From request to governed delivery agentic loop.
01
Capture task context
02
Plan and staff agents
03
Execute in sandbox
04
Validate and reflect
05
Route human review
06
Publish artifacts
Built for teams that need repeatable AI delivery operations.
See the agentic team run before you commit.
Start with the public demo, then create a workspace when you are ready to run real tasks with team controls.