	In Browser
	StumbleUpon
	del.icio.us
	Google
	Google Buzz
	reddit
	LinkedIn

	Facebook
	Twitter
	Linkedin
	E-Mail

Generative AI > Google Gemini API > Customer Renewal Agent

Customer Renewal Agent

Author: Venkata Sudhakar

At ShopMax India, annual maintenance contracts (AMCs) and SLA agreements with enterprise customers are a significant recurring revenue stream. Missing a renewal window means lost revenue and an open door for competitors. A Customer Renewal Agent monitors all contracts, flags those expiring soon, assesses churn risk, and prepares personalised renewal outreach - so no contract slips through the cracks.

This tutorial builds a Customer Renewal Agent using Google ADK and Gemini 2.0 Flash. The agent scans upcoming renewals, scores renewal risk based on usage and support ticket history, and drafts a personalised email for each at-risk account.

The below example shows the Renewal Agent identifying at-risk contracts and generating outreach for a Chennai-based customer.

from google.adk.agents import Agent
from google.adk.tools import FunctionTool
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.genai.types import Content, Part

# Simulated contract data
CONTRACTS = [
    {"id": "AMC-101", "customer": "Chennai Pharma Ltd", "contact": "Ramesh Kumar",
     "value_lakh": 18, "days_to_expiry": 25, "support_tickets_ytd": 8,
     "product": "Server Infrastructure AMC", "city": "Chennai"},
    {"id": "AMC-102", "customer": "Delhi Logistics Hub", "contact": "Priti Sharma",
     "value_lakh": 42, "days_to_expiry": 55, "support_tickets_ytd": 2,
     "product": "Networking Equipment AMC", "city": "Delhi"},
    {"id": "AMC-103", "customer": "Kolkata Steel Corp", "contact": "Anil Bose",
     "value_lakh": 12, "days_to_expiry": 15, "support_tickets_ytd": 15,
     "product": "UPS and Power AMC", "city": "Kolkata"},
]

def get_expiring_contracts(days_window: int) -> list:
    """Return contracts expiring within the given number of days."""
    expiring = [c for c in CONTRACTS if c["days_to_expiry"] <= days_window]
    # Add risk score: high tickets + low days = higher risk
    for c in expiring:
        risk = 0
        if c["days_to_expiry"] <= 20:
            risk += 40
        elif c["days_to_expiry"] <= 40:
            risk += 20
        if c["support_tickets_ytd"] >= 10:
            risk += 40
        elif c["support_tickets_ytd"] >= 5:
            risk += 20
        c["churn_risk_score"] = risk
        c["churn_risk_level"] = "HIGH" if risk >= 60 else ("MEDIUM" if risk >= 30 else "LOW")
    return sorted(expiring, key=lambda x: x["days_to_expiry"])

def draft_renewal_email(customer: str, contact: str, product: str,
                        days_to_expiry: int, value_lakh: float, city: str) -> dict:
    """Draft a personalised renewal outreach email."""
    subject = "Action Required: " + product + " Renewal - " + customer
    body = (
        "Dear " + contact + ",\n\n" +
        "We hope your team in " + city + " is doing well. \n\n" +
        "This is a reminder that your " + product + " with ShopMax India " +
        "is due for renewal in " + str(days_to_expiry) + " days. " +
        "Renewing ensures continued priority support and service continuity.\n\n" +
        "Your renewal value: Rs " + str(value_lakh) + " lakhs per annum.\n" +
        "We would be happy to discuss any service upgrades or multi-year renewal discounts.\n\n" +
        "Please reply to this email or call your account manager to proceed.\n\n" +
        "Warm regards,\nShopMax India - Enterprise Accounts Team"
    )
    return {"subject": subject, "body": body}

expiring_tool = FunctionTool(func=get_expiring_contracts)
email_tool = FunctionTool(func=draft_renewal_email)

renewal_agent = Agent(
    model="gemini-2.0-flash",
    name="customer_renewal_agent",
    instruction="""
        You are a Customer Renewal Agent for ShopMax India.
        When asked to run the renewal scan:
        1. Fetch contracts expiring within 60 days
        2. Present a risk-sorted renewal list (HIGH risk first)
        3. For each HIGH risk contract, draft a renewal outreach email
        4. Summarise total renewal revenue at risk in Rs lakhs
        Be concise. Sales team needs clear priorities.
    """,
    tools=[expiring_tool, email_tool]
)

session_service = InMemorySessionService()
runner = Runner(agent=renewal_agent, app_name="renewal_scan", session_service=session_service)

session = session_service.create_session(app_name="renewal_scan", user_id="account_mgr")
message = Content(role="user", parts=[Part(text="Run the monthly renewal scan and flag all at-risk accounts.")])
for event in runner.run(user_id="account_mgr", session_id=session.id, new_message=message):
    if event.is_final_response():
        print(event.content.parts[0].text)

It gives the following output,

RENEWAL SCAN RESULTS - April 2026
===================================

Contracts Expiring Within 60 Days: 3
Total Revenue at Risk: Rs 72 lakhs

Priority List (HIGH risk first)

[HIGH RISK] AMC-103 - Kolkata Steel Corp
  Product      : UPS and Power AMC
  Expiry       : 15 days
  Support Tickets YTD: 15 (dissatisfaction signal)
  Value        : Rs 12 lakhs
  Action       : Call today. High ticket volume suggests frustration.

[HIGH RISK] AMC-101 - Chennai Pharma Ltd
  Product      : Server Infrastructure AMC
  Expiry       : 25 days
  Support Tickets YTD: 8
  Value        : Rs 18 lakhs
  Action       : Email drafted (see below)

[LOW RISK] AMC-102 - Delhi Logistics Hub
  Product      : Networking Equipment AMC
  Expiry       : 55 days
  Support Tickets YTD: 2 (satisfied customer)
  Value        : Rs 42 lakhs
  Action       : Standard renewal email in week 6

Draft Email for Chennai Pharma Ltd:
Subject: Action Required: Server Infrastructure AMC Renewal - Chennai Pharma Ltd
Dear Ramesh Kumar,
We hope your team in Chennai is doing well...
[renewal email body as generated]

The Customer Renewal Agent can be scheduled to run on the 1st of every month, posting a renewal dashboard to the account management team. Connect it to your CRM to update deal stages automatically and trigger follow-up tasks. Add a multi-year discount calculator to give the agent the ability to offer incentives for long-term commitments.

Send your comments, suggestions or queries regarding this site to [email protected].