diff --git a/.gitignore b/.gitignore
index 7248b74..16f2dc5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1 @@
-*.csv
-__pycache__/
-*.py[cod]
+*.csv
\ No newline at end of file
diff --git a/process_report/process_report.py b/process_report/process_report.py
index 0ea7cfa..647e5b0 100644
--- a/process_report/process_report.py
+++ b/process_report/process_report.py
@@ -1,5 +1,4 @@
 import argparse
-import os
 
 import pandas
 
@@ -35,12 +34,6 @@ def main():
         default="filtered_output.csv",
         help="Name of output file",
     )
-    parser.add_argument(
-        "--output-folder",
-        required=False,
-        default="pi_invoices",
-        help="Name of output folder containing pi-specific invoice csvs"
-    )
     args = parser.parse_args()
     merged_dataframe = merge_csv(args.csv_files)
 
@@ -60,9 +53,8 @@ def main():
 
     projects = list(set(projects + timed_projects_list))
 
-    billable_projects = remove_non_billables(merged_dataframe, pi, projects, args.output_file)
+    remove_non_billables(merged_dataframe, pi, projects, args.output_file)
     remove_billables(merged_dataframe, pi, projects, "non_billable.csv")
-    export_pi_billables(billable_projects, args.output_folder)
 
 
 def merge_csv(files):
@@ -104,7 +96,6 @@ def remove_non_billables(dataframe, pi, projects, output_file):
     """Removes projects and PIs that should not be billed from the dataframe"""
     filtered_dataframe = dataframe[~dataframe['Manager (PI)'].isin(pi) & ~dataframe['Project - Allocation'].isin(projects)]
     filtered_dataframe.to_csv(output_file, index=False)
-    return filtered_dataframe
 
 
 def remove_billables(dataframe, pi, projects, output_file):
@@ -115,18 +106,5 @@ def remove_billables(dataframe, pi, projects, output_file):
     filtered_dataframe = dataframe[dataframe['Manager (PI)'].isin(pi) | dataframe['Project - Allocation'].isin(projects)]
     filtered_dataframe.to_csv(output_file, index=False)
 
-def export_pi_billables(dataframe: pandas.DataFrame, output_folder):
-    if not os.path.exists(output_folder):
-        os.mkdir(output_folder)
-
-    invoice_month = dataframe['Invoice Month'][0]
-    pi_list = dataframe['Manager (PI)'].unique()
-
-    for pi in pi_list:
-        pi_projects = dataframe[dataframe['Manager (PI)'] == pi]
-        pi_instituition = pi_projects['Institution'].unique()[0]
-        pi_projects.to_csv(output_folder + f"/{pi_instituition}_{pi}_{invoice_month}.csv")
-
-
 if __name__ == "__main__":
     main()
diff --git a/process_report/tests/unit_tests.py b/process_report/tests/unit_tests.py
index 15768d9..971577f 100644
--- a/process_report/tests/unit_tests.py
+++ b/process_report/tests/unit_tests.py
@@ -2,7 +2,6 @@
 import tempfile
 import pandas
 import os
-import shutil
 from textwrap import dedent
 from process_report import process_report
 
@@ -135,43 +134,3 @@ def test_merge_csv(self):
 
         # Assert that the headers in the merged DataFrame match the expected headers
         self.assertListEqual(merged_dataframe.columns.tolist(), self.header)
-
-class TestExportPICSV(TestCase):
-    def setUp(self):
-
-        data = {
-            'Invoice Month': ['2023-01','2023-01','2023-01','2023-01','2023-01'],
-            'Manager (PI)': ['PI1', 'PI1', 'PI1', 'PI2', 'PI2'],
-            'Institution': ['BU', 'BU', 'BU', 'HU', 'HU'],
-            'Project - Allocation': ['ProjectA', 'ProjectB', 'ProjectC', 'ProjectD', 'ProjectE'],
-            'Untouch Data Column': ['DataA', 'DataB', 'DataC', 'DataD', 'DataE']
-        }
-        self.dataframe = pandas.DataFrame(data)
-
-    def test_export_pi(self):
-        output_dir = tempfile.TemporaryDirectory()
-        process_report.export_pi_billables(self.dataframe, output_dir.name)
-        
-        pi_csv_1 = f'{self.dataframe["Institution"][0]}_{self.dataframe["Manager (PI)"][0]}_{self.dataframe["Invoice Month"][0]}.csv'
-        pi_csv_2 = f'{self.dataframe["Institution"][3]}_{self.dataframe["Manager (PI)"][3]}_{self.dataframe["Invoice Month"][3]}.csv'
-        self.assertIn(pi_csv_1, os.listdir(output_dir.name))
-        self.assertIn(pi_csv_2, os.listdir(output_dir.name))
-        self.assertEqual(len(os.listdir(output_dir.name)), len(self.dataframe['Manager (PI)'].unique()))
-
-        pi_df = pandas.read_csv(output_dir.name + '/' + pi_csv_1)
-        self.assertEqual(len(pi_df['Manager (PI)'].unique()), 1)
-        self.assertEqual(pi_df['Manager (PI)'].unique()[0], self.dataframe['Manager (PI)'][0])
-
-        self.assertIn('ProjectA', pi_df['Project - Allocation'].tolist())
-        self.assertIn('ProjectB', pi_df['Project - Allocation'].tolist())
-        self.assertIn('ProjectC', pi_df['Project - Allocation'].tolist())
-
-        pi_df = pandas.read_csv(output_dir.name + '/' + pi_csv_2)
-        self.assertEqual(len(pi_df['Manager (PI)'].unique()), 1)
-        self.assertEqual(pi_df['Manager (PI)'].unique()[0], self.dataframe['Manager (PI)'][3])
-
-        self.assertIn('ProjectD', pi_df['Project - Allocation'].tolist())
-        self.assertIn('ProjectE', pi_df['Project - Allocation'].tolist())
-        self.assertNotIn('ProjectA', pi_df['Project - Allocation'].tolist())
-        self.assertNotIn('ProjectB', pi_df['Project - Allocation'].tolist())
-        self.assertNotIn('ProjectC', pi_df['Project - Allocation'].tolist())