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

• Email

• 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.