diff --git a/src/back_reporting.py b/src/back_reporting.py
index e6112ab..ad16795 100644
--- a/src/back_reporting.py
+++ b/src/back_reporting.py
@@ -10,6 +10,7 @@ from dataclasses import dataclass
 from typing import Callable
 from tqdm import tqdm
 from multiprocessing import Pool, cpu_count
+import os
 
 TOP_PATH: Path = Path(r"\\leafnow.com\shared\Accounting\CASH APPS\2023")
 
@@ -48,10 +49,10 @@ def append_to_consolidated_report( report_path: Path, report_df: DataFrame, shee
         """
 
         report_month: Path = extract_date_path(report_path)
-        report_name: str = f"{str(report_month.name).replace('.','-')}_ConsolidatedReport.xlsx"
+        report_name: str = f"{str(report_month.name).replace('.','-')}_{sheet_name}_ConsolidatedReport.xlsx"
 
 
-        save_path = report_month / Path(report_name)
+        save_path = Path("../2023",report_name)
         logger.debug(f"{save_path=}")
         # Check if the current month has a consolidated report
         
@@ -86,9 +87,7 @@ def process_report(file: Path, extract_inst: ExtractInstruction) -> bool:
             report_str: str = f.read()
             #logger.debug(f"{report_str}")
             try:
-                df: DataFrame = extract_inst.extract_method(report_str, 
-                                Path(file.parent ,f"BACK_REPORT_{extract_inst.sheet_name}.xlsx")
-                )
+                df: DataFrame = extract_inst.extract_method(report_str, None)
                 if df.empty:
                     raise ValueError("Dataframe is empty!")
             except Exception as e:
@@ -168,13 +167,14 @@ if __name__ == "__main__":
             ]),
         ]
        
-        for folder in tqdm(FOLDERS):
-            try:
-                process_folder(folder)
-                print(f"Completed: {folder.folder_name}")
-            except Exception as e:
-                print(f"Failed to process {folder.folder_name} \n {e}")
-                continue
+        with Pool(cpu_count()) as pool:
+            for folder in tqdm(pool.imap_unordered(process_folder,FOLDERS)):
+                try:
+                    process_folder(folder)
+                    print(f"Completed: {folder.folder_name}")
+                except Exception as e:
+                    print(f"Failed to process {folder.folder_name} \n {e}")
+                    continue
         input("Complete!")
 
     except Exception as e:
diff --git a/src/il_reports.py b/src/il_reports.py
index 5867d1f..a6a4a7e 100644
--- a/src/il_reports.py
+++ b/src/il_reports.py
@@ -192,7 +192,7 @@ COMMON REGEX COMPONENTS
 """
 
 
-def ach(report: str, save_name: str):
+def ach(report: str, save_name: str|None):
     debug(f"ACH Report {save_name} :\n{report}")
     lines = report.splitlines()
     extracted_data_dict = {
@@ -246,11 +246,12 @@ def ach(report: str, save_name: str):
     dataframe: DataFrame = DataFrame(extracted_data_dict)
     # We're creating two sheets: data & summary so we need to open and excel writer
     # This also helps with a bug caused by larger dataframes
-    with pd.ExcelWriter(save_name) as writer:  
-        debug(f"ACH: Saving data as: {save_name}")
-        dataframe.to_excel(writer, index=False, sheet_name="data")
-        # The batches dictioanry is converted to a dataframe and added as it's own sheet
-        DataFrame(batches).to_excel(writer, index=False, sheet_name="Summary")
+    if save_name is not None:
+        with pd.ExcelWriter(save_name) as writer:  
+            debug(f"ACH: Saving data as: {save_name}")
+            dataframe.to_excel(writer, index=False, sheet_name="data")
+            # The batches dictioanry is converted to a dataframe and added as it's own sheet
+            DataFrame(batches).to_excel(writer, index=False, sheet_name="Summary")
     return dataframe
 
 def disposition(report: str, save_name: str):
@@ -625,7 +626,7 @@ def net_invest_trial_balance(report: str, save_name: str):
             writer, index=True, sheet_name="Summary")
     return dataframe
 
-def lockbox(report: str, save_name: str):
+def lockbox(report: str, save_name: str|None):
     debug(f"LockBox Report {save_name}:\n{report}")
     lines = report.splitlines()
     extracted_data_dict = {
@@ -678,7 +679,8 @@ def lockbox(report: str, save_name: str):
                 extracted_data_dict["CUST NAME"].append(lines[index+1].strip())
     dataframe = DataFrame(extracted_data_dict)
     debug(f"LockBox | Saving dataframe: {save_name}")
-    dataframe.to_excel(save_name, index=False)
+    if save_name is not None:
+        dataframe.to_excel(save_name, index=False)
     return dataframe
 
 
@@ -717,7 +719,7 @@ def minv(report: str, save_name: str):
 
 
 # Good for PUB_WIRES, VMCC, PBP_EPAY, returned check
-def payment_transactions(report: str, save_name: str):
+def payment_transactions(report: str, save_name: str|None):
     debug(f"PayTrans | {save_name}:\n{report}")
     lines = report.splitlines()
     data_extractor = create_line_divider([6,33,52,62,80,89,110,121])
@@ -754,8 +756,9 @@ def payment_transactions(report: str, save_name: str):
             extracted_data_dict['INV NO'].append(inv_no)
     dataframe = DataFrame(extracted_data_dict)
     debug(f"PayTrans | Complted Dataframe:\n{dataframe}")
-    dataframe.to_excel(save_name, index=False)
-    debug(f"PayTrans | Saved to {save_name}")
+    if save_name is not None:
+        dataframe.to_excel(save_name, index=False)
+        debug(f"PayTrans | Saved to {save_name}")
     return dataframe