Operations & Admin
scheduling calendar
How to Automate Client Meeting Prep Packages
Generate meeting prep packages with client context before every meeting.
Jay Banlasan
The AI Systems Guy
This system automates client meeting preparation packages by pulling CRM data, recent emails, and company news into a one-page briefing delivered before every meeting.
What You Need Before Starting
- Python 3.8+
- Google Calendar API credentials
- Flask for webhook endpoints
- SMTP or Slack for notifications
Step 1: Connect Calendar API
Set up access to Google Calendar or Outlook.
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
def get_calendar_service(creds_path):
creds = Credentials.from_authorized_user_file(creds_path)
return build("calendar", "v3", credentials=creds)
def get_events(service, time_min, time_max):
events = service.events().list(
calendarId="primary", timeMin=time_min, timeMax=time_max,
singleEvents=True, orderBy="startTime"
).execute()
return events.get("items", [])
Step 2: Build the Logic
Implement the core meeting prep algorithm.
from datetime import datetime, timedelta
def find_available_slots(events, date, duration_minutes=30):
busy = [(e["start"]["dateTime"], e["end"]["dateTime"]) for e in events]
slots = []
current = datetime.combine(date, datetime.min.time().replace(hour=9))
end_of_day = current.replace(hour=17)
while current + timedelta(minutes=duration_minutes) <= end_of_day:
slot_end = current + timedelta(minutes=duration_minutes)
is_free = all(slot_end <= b[0] or current >= b[1] for b in busy)
if is_free:
slots.append({"start": current.isoformat(), "end": slot_end.isoformat()})
current += timedelta(minutes=15)
return slots
Step 3: Handle Notifications
Send confirmations and updates automatically.
def send_calendar_notification(event, recipients, notification_type):
templates = {
"confirmed": "Your {event_type} is confirmed for {time}",
"reminder": "Reminder: {event_type} in {minutes} minutes",
"cancelled": "{event_type} has been cancelled",
}
message = templates[notification_type].format(
event_type=event["summary"], time=event["start"],
minutes=event.get("reminder_minutes", 15))
for recipient in recipients:
send_email(recipient, f"Calendar: {event['summary']}", message)
Step 4: Store and Track
Keep a log of all scheduling actions.
import sqlite3
def log_scheduling_action(action_type, event_data):
conn = sqlite3.connect("scheduling.db")
conn.execute("""INSERT INTO schedule_log
(action, event_id, details, timestamp)
VALUES (?, ?, ?, ?)""",
(action_type, event_data["id"], json.dumps(event_data), datetime.now().isoformat()))
conn.commit()
Step 5: Automate the Workflow
Set up triggers and cron jobs.
# Run scheduling checks every 15 minutes during business hours
*/15 8-17 * * 1-5 cd /root/scheduler && python check_schedule.py
def run_scheduled_checks():
service = get_calendar_service("creds.json")
events = get_events(service, datetime.now().isoformat(), (datetime.now() + timedelta(hours=1)).isoformat())
for event in events:
check_and_notify(event)
What to Build Next
Add deal history to prep packages so you never walk in without context.
Related Reading
- Creating Automated Client Reports - automated client reports guide
- Building Automated Client Onboarding Emails - automated client onboarding emails guide
- Creating an Automated Client Health Score - automated client health score guide
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