diff --git a/AirlockTools.py b/AirlockTools.py
index 876f63b..d633cfc 100644
--- a/AirlockTools.py
+++ b/AirlockTools.py
@@ -384,6 +384,30 @@ def menu_prepare_to_enforce():
 				print(ct.colorText(f"Please manually approve suggested paths prior to this step","red"))
 			
 
+				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"))
+			
+
 				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")