Trustworthy, reliable software delivery. Built in.
FlowAI is natively built for trustworthy and reliable software delivery. Specialist AI agents work through separate reviews, staged validation, and a final delivery gate, with durable evidence and human escalation built into the workflow.
Trustworthy by design
Separate implementers and reviewers, validate against upstream context, and inspect the evidence behind delivery decisions.
Reliable by design
Coordinate dependencies, preserve artifacts through retries, and route unresolved findings to human review.
Fits your delivery workflow
Git, Jira, and Slack integrations keep code, tickets, and delivery updates inside your existing workflow.
Production grade quality
Review code, check engineering quality, and validate against requirements before the final delivery gate.
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.
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 Loop
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.
Trust you can inspect. Reliability you can follow.
FlowAI makes review, evidence, and recovery part of the software delivery workflow, from the first plan to the final delivery decision.
Trustworthy software delivery
Make delivery decisions with reviewable evidence and clear accountability.
- A different engineer reviews the implementation; architecture review uses a different architect when available.
- Structural, engineering-quality, and grounded-truth validation inspect implementation, review outputs, and upstream context.
- Durable artifacts and validation findings make decisions inspectable. Unresolved findings can escalate to human review.
Reliable software delivery
Keep work coordinated, preserve progress, and respond to failures within explicit limits.
- Dependency-aware orchestration coordinates specialist tasks through a defined delivery path and final gate.
- Persistent memory and artifacts preserve evidence across retries and remediation cycles.
- Eligible design defects return to the architect within a bounded rewind budget. Requirements issues and exhausted remediation escalate to a person.
Quality checks are part of the delivery path.
After product requirements, the delivery path connects architecture, implementation, peer review, structural checks, engineering quality, grounded-truth validation, and a final delivery gate. Architecture review uses a separate architect when available; eligible unchanged designs may skip the initial review.
01
Architecture Design
02
Architecture Review
03
Implementation
04
Peer Review
05
Structural Validation
06
Engineering Quality
07
Grounded Truth
08
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