diff --git a/base64decode.py b/base64decode.py
index d951f78..0740a6c 100644
--- a/base64decode.py
+++ b/base64decode.py
@@ -1,4 +1,127 @@
+# Save this as create_company_credentials_xlsx.py and run with: python create_company_credentials_xlsx.py
+# Requires: openpyxl, pandas
+# Install: pip install openpyxl pandas
+
+import io
 import base64
-encoded = 'YmFzZTY0IGVuY29kZWQgc3RyaW5n'
-data = base64.b64decode(encoded)
-print data
+from datetime import datetime
+import pandas as pd
+from openpyxl import load_workbook, Workbook
+from openpyxl.worksheet.table import Table, TableStyleInfo
+from openpyxl.formatting.rule import FormulaRule
+from openpyxl.styles import PatternFill, Font
+
+# User / workbook metadata
+AUTHOR = "Amir Sadiq"
+DEPARTMENT = "Data/Analytics"
+FILENAME = "company_credentials.xlsx"
+
+# Data for sheets
+company_credentials_csv = """Account Name,Environment,Service Type,Owner,Created Date,Last Rotated,Rotation Frequency (Days),Storage Location,Access Level,Notes
+billing.prod.api-key,Production,API Key,Billing Team,2025-10-01,2025-11-01,30,/vault/billing/prod/api,Admin,Critical — rotate monthly
+crm.staging.password,Staging,Password,Sales Ops,2025-09-12,2025-10-15,90,/vault/crm/staging/auth,Write,Partner staging credentials
+analytics.dev.ssh-key,Development,SSH Key,Data Engineering,2025-08-05,2025-08-30,180,/vault/analytics/dev/ssh,Read,Used for ETL job testing only
+"""
+rotation_schedule_csv = """Credential Name,Owner,Rotation Frequency (Days),Last Rotated,Next Rotation Due,Status
+billing.prod.api-key,Billing Team,30,2025-11-01,2025-12-01,Scheduled
+crm.staging.password,Sales Ops,90,2025-10-15,2026-01-13,Pending
+analytics.dev.ssh-key,Data Engineering,180,2025-08-30,2026-02-26,Active
+"""
+access_requests_csv = """Requestor,Request Date,Resource,Environment,Access Level,Justification,Duration,Approver,Status
+Amir Sadiq,2025-12-11,billing.prod.api-key,Production,Write,Monthly reporting run,Temporary (3 days),IT Security Manager,Approved
+John Doe,2025-12-08,crm.staging.password,Staging,Admin,QA testing,Permanent,Sales Ops Lead,Pending
+"""
+
+# Read CSVs into DataFrames
+df_company = pd.read_csv(io.StringIO(company_credentials_csv), parse_dates=["Created Date","Last Rotated"], dayfirst=False)
+df_rotation = pd.read_csv(io.StringIO(rotation_schedule_csv), parse_dates=["Last Rotated","Next Rotation Due"])
+df_access = pd.read_csv(io.StringIO(access_requests_csv), parse_dates=["Request Date"])
+
+# Create workbook and add sheets
+wb = Workbook()
+# Remove default sheet
+default = wb.active
+wb.remove(default)
+
+def add_sheet_from_df(wb, title, df):
+    ws = wb.create_sheet(title=title)
+    # Write headers
+    ws.append(list(df.columns))
+    # Write rows
+    for r in df.itertuples(index=False, name=None):
+        # Ensure datetimes remain datetimes
+        row = []
+        for val in r:
+            row.append(val)
+        ws.append(row)
+    # Freeze top row
+    ws.freeze_panes = "A2"
+    # Create Table object for formatting (auto-detect range)
+    max_row = ws.max_row
+    max_col = ws.max_column
+    table_ref = f"A1:{chr(64+max_col)}{max_row}"
+    table = Table(displayName=title.replace(" ", "_")[:24], ref=table_ref)
+    style = TableStyleInfo(name="TableStyleMedium9", showFirstColumn=False,
+                           showLastColumn=False, showRowStripes=True, showColumnStripes=False)
+    table.tableStyleInfo = style
+    ws.add_table(table)
+    # Apply autofilter (tables already create filter)
+    return ws
+
+ws1 = add_sheet_from_df(wb, "Company Credentials", df_company)
+ws2 = add_sheet_from_df(wb, "Rotation Schedule", df_rotation)
+ws3 = add_sheet_from_df(wb, "Access Requests", df_access)
+
+# Conditional formatting on Rotation Schedule -> Next Rotation Due column
+# Find column letter for "Next Rotation Due"
+def find_col_letter(ws, col_name):
+    for cell in ws[1]:
+        if str(cell.value).strip() == col_name:
+            return cell.column_letter
+    return None
+
+col_letter = find_col_letter(ws2, "Next Rotation Due")
+if col_letter:
+    start_row = 2
+    end_row = ws2.max_row
+    rng = f"{col_letter}{start_row}:{col_letter}{end_row}"
+
+    # Overdue: dark red fill, white font
+    overdue_fill = PatternFill(start_color="8B0000", end_color="8B0000", fill_type="solid")
+    overdue_font = Font(color="FFFFFF", bold=True)
+    overdue_rule = FormulaRule(formula=[f"${col_letter}{start_row}<TODAY()"], fill=overdue_fill, font=overdue_font)
+
+    # Within 7 days: red
+    red_fill = PatternFill(start_color="FFC7CE", end_color="FFC7CE", fill_type="solid")
+    red_rule = FormulaRule(formula=[f"AND(ISNUMBER(${col_letter}{start_row}), ${col_letter}{start_row}-TODAY()<=7, ${col_letter}{start_row}-TODAY()>=0)"], fill=red_fill)
+
+    # Within 30 days: orange
+    orange_fill = PatternFill(start_color="FFD966", end_color="FFD966", fill_type="solid")
+    orange_rule = FormulaRule(formula=[f"AND(ISNUMBER(${col_letter}{start_row}), ${col_letter}{start_row}-TODAY()<=30, ${col_letter}{start_row}-TODAY()>7)"], fill=orange_fill)
+
+    # Apply rules (openpyxl applies rule to range by setting rule.formula and ws.conditional_formatting.add)
+    ws2.conditional_formatting.add(rng, overdue_rule)
+    ws2.conditional_formatting.add(rng, red_rule)
+    ws2.conditional_formatting.add(rng, orange_rule)
+
+# Set workbook core properties (metadata)
+from openpyxl.packaging.core import CoreProperties
+wb.properties.creator = AUTHOR
+wb.properties.lastModifiedBy = AUTHOR
+wb.properties.title = "Company Credentials"
+wb.properties.subject = "Credentials inventory and rotation"
+wb.properties.description = f"Generated for {AUTHOR} — Department: {DEPARTMENT}"
+wb.properties.created = datetime.now()
+
+# Save to file
+wb.save(FILENAME)
+
+# Also output base64 of the saved file to stdout for easy download/transfer
+with open(FILENAME, "rb") as f:
+    data = f.read()
+b64 = base64.b64encode(data).decode("utf-8")
+
+# Print instructions and base64
+print(f"Saved {FILENAME} to current directory.")
+print("Base64 output below (copy the entire block and decode to get the .xlsx):\n")
+print(b64)