Autonomous AI Organization for Software Development
WorkOps redefines software delivery. Submit a Work Item and let AI agent teams handle strategy, architecture, development, testing, and deployment autonomously.
WorkOps in Action
The complete autonomous development lifecycle in three steps
Create Work Item
Define your goal in the WorkOps dashboard. Whether it's a feature request, bug fix, or a new product. Attach requirements, context, and business constraints.
AI Team Executes
6 specialized AI agents collaborate autonomously: Strategic Planner, System Architect, UI/UX Designer, Full-Stack Developer, QA Engineer, and Performance Optimizer.
Review & Ship
Human-in-the-loop governance ensures quality. Inspect generated artifacts, approve changes in review mode, and deploy with confidence.
The WorkOps AI Organization
Six specialized AI agents collaborate autonomously to transform your Work Items into production-ready software
Strategic Planner
Analyzes Work Item requirements, defines roadmaps, milestones, and orchestrates task execution across the team.
System Architect
Designs scalable system architecture, data models, and integration patterns tailored to your Work Item scope.
UI/UX Designer
Creates user interfaces, design systems, and experience flows aligned with your brand and requirements.
Full-Stack Developer
Writes production-grade code across frontend, backend, and infrastructure. Generates all artifacts for deployment.
QA Engineer
Runs automated tests, performs bug detection, and ensures every Work Item meets quality standards before review.
Performance Optimizer
Tunes speed, efficiency, and resource usage. Ensures deployed artifacts are optimized for production scale.
WorkOps Command Center
Monitor Work Item execution in real-time. Full visibility into AI agent activity, artifacts, and progress.
Developer Writing auth middleware
Just now
Architect Designing API schema
2m ago
QA Engineer Running unit tests
5m ago
Designer Creating login UI
8m ago
23 min
Time Elapsed
12/18
Tasks Complete
47
Files Generated
4
Active Agents
The WorkOps Platform
Enterprise-grade infrastructure for autonomous AI development at scale
WorkOps Dashboard
Unified command center for all Work Items. Track progress across teams, monitor agent activity, and manage the entire development lifecycle from a single view.
RAG Knowledge Store
AI agents learn from your documentation, codebase, and domain expertise for context-aware execution.
Sprint Planning
Organize Work Items into sprints with intelligent capacity planning and auto-prioritization.
Governance Modes
Full Autonomous, Review Required, or Manual Override. Enterprise-grade control over AI agent behavior.
Artifact Inspector
Real-time visibility into generated code, designs, tests, and docs with version history and diff views.
Usage Analytics
Transparent cost tracking with detailed breakdowns by Work Item, team, sprint, and agent type. Optimize your AI development spend.
Enterprise-Grade Security
Built for the most demanding security and compliance requirements
SOC 2 Compliant
Type II certified with regular audits
99.9% Uptime SLA
Enterprise-grade reliability guaranteed
Data Encryption
End-to-end encryption with isolation
Human Approval
Required workflows before deployment
Audit Trail
Complete logging of all agent actions
Simple, Transparent Pricing
Start free, scale as you grow
Starter
For individuals & small teams
- Up to 5 work items/month
- 2 team members
- Basic agent access
- Email support
- 7-day history
Pro
For growing companies
- Unlimited work items
- 10 team members
- All agents included
- Priority support
- RAG knowledge store
- Sprint planning
- 30-day history
Enterprise
Custom deployment & support
- Unlimited everything
- Unlimited team members
- Custom agent training
- Dedicated support
- On-premise deployment
- SLA guarantee
- SSO & SCIM
- Audit logging
Trusted by Engineering Teams
See what early adopters are saying about Tagma
“Tagma reduced our development cycle from months to days. The AI agents work together seamlessly, and the quality is production-ready.”
Sarah Chen
VP of Engineering, Nexus Labs
“We shipped our entire MVP in a weekend. The governance controls give us confidence that nothing goes live without human approval.”
Marcus Rodriguez
Founder & CEO, Stealth Startup
“The RAG knowledge store means the AI actually understands our codebase. No more context-switching or explaining our architecture.”
Emily Watson
Principal Engineer, DataFlow Systems
Powering development teams at
Start Your First
Work Item Today
Experience WorkOps: submit a Work Item and watch your AI organization deliver production-ready software.
No credit card required. Create your first Work Item in minutes.