Enterprise Governance.
Startup Velocity.
The AI control plane that scales with your organization. Complete visibility, compliance, and control without sacrificing speed.
⚠️ Why Jira & Asana Are Now Obsolete
When 80% of your "team" is AI agents, traditional project management breaks completely
The Problem Nobody's Talking About
Your team isn't human anymore. You have Claude writing code, GPT-4 reviewing PRs, Cursor implementing features, and GitHub Copilot filling gaps.
But you're still using Jira? These tools were built for humans tracking human work. They have no concept of AI agents, no way to track AI decisions, and no mechanism to prevent the chaos of multiple AIs working at cross purposes.
The result? Complete project chaos. Different AIs making conflicting decisions. No memory between sessions. Constant drift from requirements. It's project management hell.
🚨 The AI Team Reality
Jira: Can't track what Claude decided yesterday
Asana: No concept of AI agent coordination
Linear: Can't prevent conflicting AI implementations
Notion: No drift detection between AI sessions
Synapse: Built specifically for AI-dominated teams. Tracks decisions, prevents drift, coordinates agents.
🎯 The New Reality: AI-First Project Management
Agent Coordination
Manage Claude, GPT-4, and Copilot as first-class team members
Decision Memory
Every AI decision tracked and enforced across all sessions
Drift Prevention
Stop AIs from reimplementing or contradicting previous work
Your AI Development Challenges
We've seen these problems at every enterprise
Shadow AI Usage
Developers using personal ChatGPT accounts, leaking company code and secrets
Runaway AI Costs
No visibility into who's spending what, costs spiraling out of control
Code Quality Drift
Each AI interaction degrades code quality, no consistency across teams
Enterprise-Grade Control
Everything you need to deploy AI safely at scale
🔒 Security & Compliance
- ✓Universal SSO SupportWorks with Okta, Azure AD, Google Workspace, and any SAML 2.0 provider
- ✓Role-Based Access ControlGranular permissions for teams and projects
- ✓Audit LoggingComplete history of all AI interactions
- ✓Data Residency OptionsChoose where your data is stored
⚡ Governance & Control
- ✓Centralized AI PolicyEnforce coding standards across all AI interactions
- ✓Cost Controls & BudgetsSet limits per team, project, or individual
- ✓Model Routing RulesControl which models teams can access
- ✓Secret ScanningPrevent API keys and secrets from leaking
📊 Analytics & Insights
- ✓Executive DashboardsReal-time visibility into AI adoption and ROI
- ✓Team Performance MetricsTrack productivity gains and code quality
- ✓Cost AttributionDetailed breakdown by team, project, and model
- ✓Quality MetricsTrack code quality trends over time
🚀 Deployment & Integration
- ✓On-Premises OptionDeploy in your own infrastructure
- ✓VPC PeeringSecure connection to your cloud resources
- ✓API & WebhooksIntegrate with your existing toolchain
- ✓Custom Model SupportBring your own fine-tuned models
Your Potential ROI with Synapse+
For a 100-developer team, this typically means:
$1.2M+ saved annually
Enterprise Implementation Timeline
Week 1
Discovery & Planning
- • Technical requirements review
- • Security assessment
- • Integration planning
- • Success metrics definition
Week 2-3
Pilot Deployment
- • Environment setup
- • SSO integration
- • Pilot team onboarding
- • Initial policy configuration
Week 4-6
Gradual Rollout
- • Team-by-team adoption
- • Training sessions
- • Policy refinement
- • Performance monitoring
Week 8+
Full Production
- • Organization-wide access
- • Advanced features enabled
- • Quarterly business reviews
- • Continuous optimization