HandoffOS
An enterprise workflow intelligence MCP server that reconstructs events into live workflow state, detects bottlenecks with deterministic rules, and provides evidence-based explanations and actions.
README
HandoffOS
Enterprise Workflow Intelligence through MCP
Rules detect. AI explains. MCP acts.
Overview
Large enterprises don't lose productivity because employees cannot communicate—they lose productivity because work gets stuck during handoffs between teams.
Manager approval may be complete, but HR assumes IT has already created a laptop request. Identity provisioning cannot begin until the laptop is allocated, VPN access depends on identity, and onboarding stalls because no system understands the complete workflow.
HandoffOS solves this problem by reconstructing enterprise events into a live workflow state, detecting bottlenecks using deterministic business rules, explaining them with AI-backed natural language, and exposing workflow capabilities through the Model Context Protocol (MCP).
Rather than acting as another enterprise chatbot, HandoffOS functions as a Workflow Intelligence Engine that any MCP-compatible AI client can use.
Problem Statement
Modern enterprises operate using multiple disconnected systems such as:
- HR Platforms
- Ticketing Systems
- Calendar
- Documentation
- Task Boards
Each platform understands only a small portion of an organization's workflow.
This creates problems such as:
- Unknown workflow bottlenecks
- Missed SLAs
- Poor ownership visibility
- Delayed onboarding
- Manual follow-ups
- Lack of operational transparency
Organizations know tasks.
They rarely know the state of the workflow.
Solution
HandoffOS continuously transforms enterprise events into a single workflow graph.
Instead of showing independent tasks, it understands:
- Workflow Dependencies
- Ownership
- Critical Paths
- Workflow Health
- Business Rules
The system identifies the root blocker, explains why it exists using evidence, predicts downstream impact, and recommends or executes the next approved action.
Key Features
Live Workflow State
Visualizes the current workflow and immediately highlights blocked stages.
Deterministic Rules Engine
Business logic detects:
- Missing Dependencies
- Missing Owners
- SLA Violations
- Critical Path Blocks
- Missing Documentation
Rules determine facts.
AI never invents them.
Evidence-Based Explanations
Every blocker includes supporting evidence such as:
- Completed approvals
- Missing tasks
- Dependency chains
- Rule violations
This eliminates hallucinations and increases trust.
Workflow Health Score
Calculates workflow health based on measurable factors including:
- Blocked Nodes
- SLA Violations
- Critical Path Risk
- Downstream Impact
The score is explainable and reproducible.
Workflow Simulation
"What happens if this blocker is resolved?"
The workflow is recalculated instantly, showing:
- Updated Health
- New Critical Path
- Estimated Completion Time
Execute Approved Actions
Supports controlled workflow execution such as:
- Creating Tasks
- Assigning Owners
- Scheduling Activities
- Updating Workflow State
- Writing Audit Logs
MCP Native
HandoffOS exposes its capabilities using the Model Context Protocol.
Any compatible client—including NitroStudio, Claude Desktop, and future MCP-enabled assistants—can access the same workflow intelligence through a standard interface.
Architecture
Enterprise Events
│
▼
Event Store
│
▼
Workflow State Builder
│
▼
Deterministic Rules Engine
│
▼
Evidence Generation
│
▼
MCP Server
├── Resources
├── Tools
└── Prompts
│
▼
NitroStudio • Claude • Cursor • MCP Clients
Demonstration Workflow
Our prototype demonstrates Employee Onboarding.
Manager Approval
│
▼
HR Verification
│
▼
Laptop Allocation
│
▼
Identity Access
│
▼
VPN Setup
│
▼
Developer Access
│
▼
Orientation
If Laptop Allocation is delayed,
every downstream activity becomes blocked.
HandoffOS detects the root cause immediately.
MCP Resources
workflow://onboard-priya/state
workflow://onboard-priya/events
workflow://onboard-priya/findings
workflow://onboard-priya/audit-log
workflow://rules
MCP Tools
- detect_blockers
- simulate_resolution
- execute_action
- ingest_event
- plan_next_actions
MCP Prompts
- explain_blocker
- manager_summary
Technology Stack
- TypeScript
- Node.js
- NitroStack
- Model Context Protocol (MCP)
Installation
git clone https://github.com/AdithyanandanArun/HandOffOS.git
cd HandOffOS
npm install
Run the server:
npm run start
Connect Using an MCP Client
Configure your MCP client:
{
"mcpServers": {
"handoffos": {
"url": "YOUR_SERVER_URL"
}
}
}
Supported clients include:
- NitroStudio
- Claude Desktop
- Cursor
- Other MCP-compatible clients
Potential Applications
Although demonstrated using employee onboarding, HandoffOS can support:
- Procurement
- Vendor Onboarding
- Customer Support
- Leave Approval
- Incident Response
- Manufacturing Workflows
- IT Service Management
Only the workflow template changes.
The engine remains the same.
Why HandoffOS?
Most AI systems answer questions.
HandoffOS improves workflows.
Question
│
▼
Evidence
│
▼
Rules
│
▼
AI Explanation
│
▼
Simulation
│
▼
Approved Action
│
▼
Updated Workflow
The result is a transparent, explainable, and actionable workflow intelligence platform.
Team
Developed during the Agentic AI Hackathon 2026
License
MIT License
HandoffOS makes invisible enterprise handoffs visible, explainable, and actionable.
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