diff --git a/docker.properties b/docker.properties
index ae4ec668b1c8cad224a35205d59a390af962f965..cc9bb27a357d3e8afc906544a9b6ad758413edc8 100644
--- a/docker.properties
+++ b/docker.properties
@@ -24,7 +24,7 @@ edu.nrao.workspaces.CapabilitySettings.externalServiceUrl = http://capability:34
 edu.nrao.workspaces.ProcessingSettings.useCasa = false
 edu.nrao.workspaces.ProcessingSettings.rootDirectory =  /lustre/aoc/cluster/pipeline/docker/workspaces/spool
 edu.nrao.workspaces.ProcessingSettings.scriptLocation = /lustre/aoc/cluster/pipeline/docker/workspaces/sbin
-edu.nrao.workspaces.ProcessingSettings.ramInGb = 0.2G
+edu.nrao.workspaces.ProcessingSettings.ramInGb = 0.21G
 edu.nrao.workspaces.ProcessingSettings.CasaVersion.vlass = /home/casa/packages/pipeline/casa-6.1.3-3-pipeline-2021.1.1.32
 
 edu.nrao.archive.workflow.config.CasaVersions.homeForReprocessing = /home/casa/packages/pipeline/current
diff --git a/shared/workspaces/workspaces/capability/schema.py b/shared/workspaces/workspaces/capability/schema.py
index 4622f5ff489b3d12f647fdb2fa86e969ddb69a67..1e9f1340262ec68eb370fe251e3c7a1f31bf60e4 100644
--- a/shared/workspaces/workspaces/capability/schema.py
+++ b/shared/workspaces/workspaces/capability/schema.py
@@ -197,7 +197,7 @@ class SingleQAStateMachine(StateMachine):
                     SendMessage(arguments="execution_complete"),
                     SendNotification(arguments=json.dumps({"template": "workflow-complete", "send_to_qa": True})),
                     SendNotification(
-                        arguments=json.dumps({"template": workflow_name + "_complete", "send_to_qa": True})
+                        arguments=json.dumps({"template": workflow_name + "_complete", "needs_contacts": True})
                     ),
                 ],
                 ("Error", "ingestion-failed"): [
@@ -272,7 +272,7 @@ class DoubleQAStateMachine(StateMachine):
                     SendMessage(arguments="execution_complete"),
                     SendNotification(arguments=json.dumps({"template": "workflow-complete", "send_to_qa": True})),
                     SendNotification(
-                        arguments=json.dumps({"template": workflow_name + "_complete", "send_to_qa": True})
+                        arguments=json.dumps({"template": workflow_name + "_complete", "needs_contacts": True})
                     ),
                 ],
                 ("Error", "ingestion-failed"): [
diff --git a/shared/workspaces/workspaces/workflow/services/workflow_service.py b/shared/workspaces/workspaces/workflow/services/workflow_service.py
index f4ebaae71eb19ca2d088ce25437ca002ce3e0950..56be6352ef828304766a6f9c5054277b3543f7bd 100644
--- a/shared/workspaces/workspaces/workflow/services/workflow_service.py
+++ b/shared/workspaces/workspaces/workflow/services/workflow_service.py
@@ -16,6 +16,8 @@
 # You should have received a copy of the GNU General Public License
 # along with Workspaces.  If not, see <https://www.gnu.org/licenses/>.
 """ This is the workflow service. """
+import glob
+import itertools
 
 # pylint: disable=E0401, E0402, W1203
 
@@ -23,6 +25,7 @@ import json
 import logging
 import os
 import pathlib
+import shutil
 import stat
 import subprocess
 from pathlib import Path
@@ -375,6 +378,7 @@ class WorkflowService(WorkflowServiceIF):
         workflow_files = self._determine_usable_files(request, templated_files)
 
         # prepare files for condor execution
+        self._check_for_old_condor_files(temp_folder)
         self._prepare_files_for_condor(workflow_files, temp_folder)
         self.info.save_request(request)
 
@@ -544,6 +548,7 @@ class WorkflowService(WorkflowServiceIF):
         :param files:  a dictionary of filename -> content
         :return:       a Path
         """
+
         # 1. spool each of the temp files to tmp directory
         for file in files:
             path = temp_folder / file.filename
@@ -555,6 +560,28 @@ class WorkflowService(WorkflowServiceIF):
             logger.info("Making %s executable", file)
             file.chmod(file.stat().st_mode | stat.S_IEXEC)
 
+    @staticmethod
+    def _check_for_old_condor_files(dir_path: Path):
+        """
+        It is possible that a follow-on workflow will use an existing, previously used, directory, and this directory
+        might contain previously used condor submit files and their associated output. Move these aside so they don't
+        interfere with the new workflow execution
+        Example: VLASS Image Caching post SECI or Quicklook
+
+        :param dir_path: path of the directory that will be submitted to condor
+        :return:
+        """
+        extensions = ["*.condor", ".dag", ".log"]
+
+        old_files = itertools.chain.from_iterable(dir_path.glob(pattern) for pattern in extensions)
+        if len(list(old_files)) > 0:
+            logger.info("Shifting old condor files aside...")
+            aside = dir_path / "old_condor"
+            aside.mkdir(0o777, parents=False, exist_ok=True)
+            for file in old_files:
+                shutil.move(file, aside)
+            logger.info("Finished shifting old condor files.")
+
     def _execute_prepared(self, folder: Path, run_cv: bool) -> [Path, bool]:
         """
         Execute HTCondor using the named folder as the source of the files.