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What problem are you solving?

Organisations rely on multi-step workflows involving task assignments, document submissions, approvals and interdepartmental coordination. These workflows often become delayed due to missing information, pending approvals, overlooked deadlines and unresolved task dependencies.

Key problems:

Delayed workflows: Tasks remain blocked while waiting for information or approvals.
Manual follow-ups: Employees spend time tracking pending tasks and contacting responsible individuals.
Limited root-cause visibility: Existing dashboards show task status but often do not identify why a workflow is blocked.
Reactive problem-solving: Corrective actions are initiated only after delays have already affected operations.
Unverified resolution: Workflow systems may record actions without confirming whether the underlying problem has actually been resolved

The core problem: Organisations lack an intelligent system that can proactively identify workflow bottlenecks, investigate their causes and coordinate verified corrective actions with minimal manual intervention. it with a brief explanation.

Workflow Delays and Inefficient Manual Coordination in Organisations

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AgentFlow AI: Solution & Impact

An AI-powered platform that detects workflow bottlenecks, identifies their causes, plans corrective actions and verifies recovery.

WHAT MAKES IT DIFFERENT

HOW IT SOLVES THE PROBLEM

1. Detect: Identify delayed tasks and blocked dependencies.

2. Analyse: Find likely root causes using workflow data.

3. Plan: Generate a clear corrective-action plan.

4. Act: Carry out authorised actions using software tools.

5. Verify: Check whether the issue has actually been resolved.

6. Escalate: Request human intervention when approval is needed.

Example scenario

A purchase approval is delayed because a vendor quotation is missing.

Identify and respond

AgentFlow AI spots the missing document, identifies the likely cause and drafts a follow-up request.

Track and verify

It tracks the response and checks whether the approval can move forward before reporting recovery.

Expected impact

Reduces manual follow-ups and delays, while improving visibility into task status and actions.

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List of features offered by the solution�

01 Real-Time Workflow Monitoring

Tracks task progress, deadlines, dependencies and pending approvals.

02 Intelligent Bottleneck Detection

Identifies delayed tasks, missing documents and blocked workflow stages.

03 AI-Powered Root-Cause Analysis

Analyses workflow history and task relationships to determine the likely cause of delays.

04 Autonomous Action Planning

Generates context-aware, step-by-step recovery plans to resolve workflow bottlenecks.

05 Automated Task Execution

Performs permitted actions such as creating follow-up tasks, drafting notifications and updating task status through software tools.

06 Smart Notifications and Escalation

Sends contextual reminders and escalates unresolved issues to the appropriate personnel.

07 Closed-Loop Recovery Verification

Checks whether corrective actions have resolved the issue before marking a workflow as recovered.

08 Human-in-the-Loop Approval

Requires human authorisation for sensitive, high-impact or restricted actions.

09 Workflow Analytics Dashboard

Displays task status, bottlenecks, delay duration, recovery progress and performance metrics.

10 Audit Trail and Explainable Decisions

Records detected issues, supporting evidence, proposed actions, approvals and execution outcomes.

11 Predictive Delay Alerts

Uses workflow patterns and historical data to flag tasks that may miss their deadlines.

12 Configurable Workflow Integration

Supports different workflow types, with potential integration into enterprise task-management, email and approval systems.your presentation

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FlowAgent AI: Workflow & Technology Stack

WORKFLOW

TECHNOLOGY STACK

1. Detect: Identify delayed tasks, blocked stages and dependencies.

2. Analyse: Find likely root causes using workflow and task data.

3. Plan: Create a step-by-step recovery plan.

4. Act: Carry out permitted actions, such as drafting follow-ups or creating tasks.

5. Verify: Check whether the issue is resolved before marking recovery successful.

6. Escalate: Request human approval or intervention when needed.

Frontend: Streamlit (current prototype UI); React.js, HTML, CSS and JavaScript (proposed options).

Backend: Python; FastAPI (proposed backend option).

Agentic AI & LLM: LangGraph and an LLM API with function/tool calling (planned integration).

AI / Data: Pandas, NetworkX and Scikit-learn.

Database: SQLite for the prototype; PostgreSQL for scalable deployment.

Automation & Visualisation: Python workflow engine, task scheduling, rule-based execution and Plotly dashboards.

Integration & Deployment: REST APIs and simulated tools; Streamlit or React frontend with cloud-hosted FastAPI backend.

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High-Level Architecture Diagram

Users

Employees

Create/view task

Managers

Approve actions

Administrators

Configure workflows

Frontend Web Application

Workflow dashboard
Task status
Agent actions
Approval requets
analytics & reports

Backend Services

API Endpoints
Workflow mgmt.
Authentication & Authorization
Event handling
Integration Servces

AI Agent System

Agent Orchestrator

Plan actions
use tools
Execute permitted tasks
verify results
Escluate when required

Workflow Analysis Module

Root acuse analysis
Predicct delays
Detect problems

LLM & Tool integration

Tool calling
Task execution
Genarate notifications
Explain decisions

External Tools & systems

Email services

Notifications

Task management

Track status

Document stoarge

Check missing documents

Data Layer

Workflow Data

User

Data

Documents

Event

logs