diff --git a/AirlockTools.py b/AirlockTools.py
index ad50df5..fda1204 100644
--- a/AirlockTools.py
+++ b/AirlockTools.py
@@ -215,8 +215,8 @@ def menu_prepare_to_enforce():
 		print(ct.colorText("     When complete, save the csv file to the directory 'manuallyapproved'", "cyan"))
 		print(ct.colorText("     Preflight Lists will be generated", "cyan"))
 
-		if  os.path.exists(f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv"):
-					print(ct.colorText("  [✓]  Reviewed path list detected","green"))
+		if os.path.isfile(f"manuallyapproved\\df_paths_needing_review_{first_policy}_{second_policy}.csv") and os.path.isfile("dataframe_csv\\df_hashdestination_{first_policy}_{second_policy}.csv") and os.path.isfile(f"dataframe_csv\\df_addtochildpolicy_{first_policy}_{second_policy}.csv") and os.path.isfile(f"dataframe_csv\\f_addtobaseline_{first_policy}_{second_policy}.csv"):
+			print(ct.colorText("  [✓]  This step has been completed","green"))
 		else:
 			print(ct.colorText("  [✗]  Path review list has not been detected","red"))	
 	
@@ -354,15 +354,36 @@ def menu_prepare_to_enforce():
 			else:
 				print(ct.colorText(f"Please manually approve hashes prior to this step","red"))
 
+		
+		elif choice == "7":
+			if os.path.exists(f"manuallyapproved\\df_paths_needing_review_{first_policy}_{second_policy}.csv"):
+				df_approved = tryToReadCSV(f"manuallyapproved\\df_paths_needing_review_{first_policy}_{second_policy}.csv")
+				df_eligible = tryToReadCSV(f"dataframe_csv\\df_paths_needing_review_{first_policy}_{second_policy}.csv")
+				df_ineligible = tryToReadCSV(f"dataframe_csv\\df_path_ineligible_{first_policy}_{second_policy}.csv")
 
-		elif choice == "4":
+				approved_set = set([tuple(map(tuple, row)) for row in df_approved.values])
+
+				# Identify rows in eligible that are not in approved
+				not_approved_rows = df_eligible[~df_eligible.apply(lambda row: tuple(map(tuple, row)) in approved_set, axis=1)]
+
+				# Append these rows to ineligible
+				df_ineligible= pd.concat([df_ineligible, not_approved_rows], ignore_index=True)
+
+				df_approved.to_csv(f"preflight\\Approved_Path_Exclusions_{first_policy}_{second_policy}.csv")
+				ct.style_dataframe_dark(df_approved, f"preflight\\Approved_Path_Exclusions_{first_policy}_{second_policy}.html")
+
+				#Seperate out what we arent excluding by path into those that will go into the baseline, and those that will b added to the child. 
+				df_addtobaseline = df_ineligible[df_ineligible['reputation status'] == 'KNOWN']
+				df_addtobaseline.to_csv(f"preflight\\Add_to_Baseline_{first_policy}_{second_policy}.csv", index=False)
+				ct.style_dataframe_dark(df_addtobaseline, f"preflight\\Add_to_Baseline_{first_policy}_{second_policy}.html")
+
+				df_addtochildpolicy = df_ineligible[df_ineligible['reputation status'] == 'UNKNOWN']
+				df_addtochildpolicy.to_csv(f"preflight\\Add_to_Child_Policy_{first_policy}_{second_policy}.csv", index=False)
+				ct.style_dataframe_dark(df_addtochildpolicy, f"preflight\\Add_to_Child_Policy_{first_policy}_{second_policy}.html")
+		
+			else:
+				print(ct.colorText(f"Please manually approve suggested paths prior to this step","red"))
 			
-			if os.path.exists(f"dataframe_csv\\allinfo_{first_policy}_{second_policy}.csv") and os.path.exists(f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv"):
-				df1 = tryToReadCSV(f"dataframe_csv\\allinfo_{first_policy}_{second_policy}.csv")
-				pathexclusions,allowbyhash = utils.pathfunctions.mask_from_csv(df1, f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv","longestcfp")
-				
-				pathexclusions.to_csv(f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.csv", index=False)
-				ct.style_dataframe_dark(pathexclusions, f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html")	
 
 				allowbyhash.to_csv(f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.csv", index=False)
 				ct.style_dataframe_dark(allowbyhash, f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html")