Build an AI delivery team that works inside real operational guardrails.
FlowAI combines a team manager agent, role-based specialists, secure sandbox execution, and production governance into one multi-tenant platform. Start with a live demo, then onboard a workspace and run real tasks on your plan.
Multi-agent delivery
A team manager coordinates specialist agents across planning, implementation, review, and validation.
Sandboxed execution
Every task runs inside controlled workspace and network guardrails before any result leaves the platform.
Direct system handoff
Git, Jira, and Slack integrations keep code, tickets, and delivery updates inside your existing workflow.
Run the product before you commit your workspace.
The public demo is the fastest way to understand how FlowAI decomposes a task, executes it in a sandbox, and returns governed artifacts.
Demo Ready
Anonymous visitors can create an isolated demo tenant and run a capped production-shaped task.
- • Spin up an isolated demo tenant without creating an account.
- • Run a capped production-shaped workflow with specialist agents and sandbox execution.
- • Inspect artifacts, validation output, and replay behavior before onboarding a workspace.
Plans
Free / Pro / Business
Choose a plan after validating the runtime in the demo.
Billing
Subscription + Task Credits
Keep steady workloads on subscription and burst with credits.
AI Team Manager
Breaks high-level goals into delivery plans, assigns specialist agents, and tracks quality gates.
Built In
- Plan decomposition
- Role-based staffing
- Quality gate tracking
Harness Engineering
Filesystem memory, execution sandboxing, validation and reflection, and orchestration are built into the platform.
Built In
- Workspace memory
- Sandbox controls
- Validation + reflection
Governed Delivery
Human review, audit trails, billing controls, and multi-tenant boundaries stay intact as workflows scale.
Built In
- Human review gates
- Auditability
- Tenant isolation
A governed digital workforce, not another chatbot.
Control Plane
Templates, tenant setup, usage controls, and provider routing.
Execution Plane
Workflow runs, sandboxed tasks, validation, review, and durable artifacts.
A seven-stage SDLC run by specialist agents.
Every software delivery workflow follows a gated chain — from architecture design through implementation, peer review, three validation stages, and a final delivery gate — before any artifacts leave the sandbox.
01
Architecture Design
02
Implementation
03
Peer Review
04
Structural Validation
05
Engineering Quality
06
Grounded Truth
07
Final Delivery Gate
Connects to the tools your team already uses.
FlowAI integrates with your source control, project management, and communication platforms — so AI-delivered work lands directly in your existing workflow without manual handoffs.
Source Control
GitHub
Connect your GitHub repositories so the AI team clones your codebase at run start, pushes completed work to a feature branch, and automatically opens a pull request for human review.
- Repo clone at run start
- Feature branch push
- Auto pull request
- PAT or OAuth App auth
Source Control
GitLab
Full GitLab support including self-hosted instances. The AI team delivers directly into your GitLab project with merge requests, draft mode, and configurable branch prefixes.
- Self-hosted instance support
- Merge request automation
- Draft MR mode
- OAuth 2.0 token refresh
Project Management
Jira
Import issue context directly into task planning. FlowAI posts structured progress updates back to the Jira ticket as the AI team works — from task start through final delivery.
- Issue import into tasks
- Progress comment threading
- Status transition automation
- Service account assignment
Team Communication
Slack
Keep your team informed with real-time workflow progress in any Slack channel. Threaded messages track each specialist agent handoff from kickoff to delivery.
- Threaded progress updates
- Per-run message threading
- Channel selection
- Human review alerts
Configure once. Credentials stay outside the database.
Each integration is configured once per workspace. Use a Personal Access Token for quick setup, or authorize via OAuth for full token lifecycle management including automatic refresh. Credentials are stored in a dedicated secret store — never in the database.
- PAT or OAuth 2.0 for GitHub & GitLab
- Token refresh with expiry detection
- Secrets stored outside the database
- Test connection before first run
- Jira OAuth with service account support
- Slack bot with threaded run updates