Autonomous Agents for Business Operations

import pandas as pd

def classify_asset(asset_type):
    classification = {
        "server": "IT",
        "building": "Facilities",
        "equipment": "Operations"
    }
    return classification.get(asset_type, "Unknown")

assets = pd.read_csv('assets.csv')
assets['category'] = assets['type'].apply(classify_asset)
assets.to_json('classified_assets.json', orient='records')
          

{
  "asset_id": "123",
  "type": "server",
  "category": "IT",
  "location": "Building A"
}
          

1. Scan all assets using network and physical surveys.
2. Classify assets based on type and category.
3. Catalog the assets in a structured format (JSON/CSV).
4. Update the central inventory database.

from prometheus_client import start_http_server, Gauge
import time

asset_health = Gauge('asset_health', 'Health of assets')

def monitor_assets():
    while True:
        # Example metrics
        asset_health.labels(asset_id="123").set(99.9)  # Uptime
        time.sleep(60)

if __name__ == "__main__":
    start_http_server(8000)
    monitor_assets()
          

{
  "asset_id": "123",
  "uptime": "99.9%",
  "depreciation_rate": "5% per year"
}
          

1. Collect real-time performance data from assets.
2. Calculate depreciation based on usage and time.
3. Visualize performance trends on dashboards.
4. Provide reports to relevant teams for decision-making.

from sklearn.tree import DecisionTreeClassifier
import pandas as pd

# Sample data
data = pd.read_csv('asset_lifecycle.csv')
labels = data['action_label']

model = DecisionTreeClassifier()
model.fit(data.drop('action_label', axis=1), labels)

def recommend_action(asset_data):
    return model.predict([asset_data])[0]
          

{
  "asset_id": "123",
  "recommendation": "Upgrade",
  "timeline": "Q2 2025"
}
          

1. Analyze historical lifecycle data of assets.
2. Utilize machine learning models to predict optimal action.
3. Generate recommendations based on analysis.
4. Share recommendations with stakeholders for approval.

import schedule
import time

def maintenance_task():
    print("Server Maintenance Task Executed")

schedule.every(30).days.do(maintenance_task)

while True:
    schedule.run_pending()
    time.sleep(1)
          

{
  "task": "Server Maintenance",
  "date": "2025-02-15",
  "assigned_to": "John Doe"
}
          

1. Analyze asset usage and performance data.
2. Determine optimal maintenance intervals.
3. Automate scheduling of maintenance tasks.
4. Notify maintenance teams of upcoming tasks.

from prometheus_client import start_http_server, Gauge
import time

system_health = Gauge('system_health', 'Health of systems')

def monitor_system():
    while True:
        # Example metrics
        system_health.labels(system="Network").set(85)  # Degraded status
        time.sleep(60)

if __name__ == "__main__":
    start_http_server(8001)
    monitor_system()
          

{
  "system": "Network",
  "status": "Degraded",
  "action": "Investigate"
}
          

1. Monitor real-time system metrics.
2. Detect anomalies or deviations from normal performance.
3. Trigger alerts when performance issues are identified.
4. Initiate proactive measures to resolve detected issues.

from airflow import DAG
from airflow.operators.python_operator import PythonOperator
import datetime

def optimize_resources():
    print("Optimizing resource allocation")

default_args = {
    'owner': 'airflow',
    'start_date': datetime.datetime(2025, 1, 1)
}

dag = DAG('workflow_optimization', default_args=default_args, schedule_interval='@daily')

optimize_task = PythonOperator(
    task_id='optimize_resources',
    python_callable=optimize_resources,
    dag=dag
)
          

{
  "workflow": "Order Fulfillment",
  "resource_allocation": "Optimized"
}
          

1. Analyze existing operational workflows.
2. Identify bottlenecks and inefficiencies.
3. Allocate resources dynamically based on workflow demands.
4. Implement optimizations and monitor their effectiveness.

import paramiko

def configure_network_device(device_ip, config_commands):
    ssh = paramiko.SSHClient()
    ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
    ssh.connect(device_ip, username='admin', password='password')
    for command in config_commands:
        stdin, stdout, stderr = ssh.exec_command(command)
        print(stdout.read().decode())
    ssh.close()

device_ip = '192.168.1.1'
commands = ['configure terminal', 'interface Gig0/1', 'shutdown']
configure_network_device(device_ip, commands)
          

{
  "device": "Router A",
  "status": "Configured",
  "action": "Maintenance Complete"
}
          

1. Install network systems and devices.
2. Configure network settings as per requirements.
3. Monitor network performance and health.
4. Conduct regular maintenance to ensure optimal performance.