diff --git a/commands/command_utils.py b/commands/command_utils.py
index 4f6f99eb09..f6535779a2 100644
--- a/commands/command_utils.py
+++ b/commands/command_utils.py
@@ -1,9 +1,11 @@
 import json
+import hashlib
 import os
 import re
 
+from leapp.actors import config as actor_config
 from leapp.exceptions import CommandError
-from leapp.utils import path
+from leapp.utils import audit, path
 
 HANA_BASE_PATH = '/hana/shared'
 HANA_SAPCONTROL_PATH_X86_64 = 'exe/linuxx86_64/hdb/sapcontrol'
@@ -140,3 +142,31 @@ def vet_upgrade_path(args):
                     flavor=flavor,
                     choices=','.join(supported_target_versions)))
     return (target_release, flavor)
+
+
+def load_actor_configs_and_store_it_in_db(context, repositories, framework_cfg):
+    """
+    Load actor configuration so that actor's can access it and store it into leapp db.
+
+    :param context: Current execution context
+    :param repositories: Discovered repositories
+    :param framework_cfg: Leapp's configuration
+    """
+    # Read the Actor Config and validate it against the schemas saved in the
+    # configuration.
+
+    actor_config_schemas = tuple(actor.config_schemas for actor in repositories.actors)
+    actor_config_schemas = actor_config.normalize_schemas(actor_config_schemas)
+    actor_config_path = framework_cfg.get('actor_config', 'path')
+
+    # Note: actor_config.load() stores the loaded actor config into a global
+    # variable which can then be accessed by functions in that file.  Is this
+    # the right way to store that information?
+    actor_cfg = actor_config.load(actor_config_path, actor_config_schemas)
+
+    # Dump the collected configuration, checksum it and store it inside the DB
+    config_text = json.dumps(actor_cfg)
+    config_text_hash = hashlib.sha256(config_text.encode('utf-8')).hexdigest()
+    config_data = audit.ActorConfigData(config=config_text, hash_id=config_text_hash)
+    db_config = audit.ActorConfig(config=config_data, context=context)
+    db_config.store()
diff --git a/commands/preupgrade/__init__.py b/commands/preupgrade/__init__.py
index cb07d1d96e..7dd91a04ee 100644
--- a/commands/preupgrade/__init__.py
+++ b/commands/preupgrade/__init__.py
@@ -62,11 +62,7 @@ def preupgrade(args, breadcrumbs):
 
     workflow = repositories.lookup_workflow('IPUWorkflow')()
 
-    # Read the Actor Config and validate it against the schemas saved in the configuration.
-    actor_config_schemas = tuple(actor.config_schemas for actor in repositories.actors)
-    actor_config_schemas = actor_config.normalize_schemas(actor_config_schemas)
-    actor_config_path = cfg.get('actor_config', 'path')
-    actor_config.load(actor_config_path, actor_config_schemas)
+    command_utils.load_actor_configs_and_store_it_in_db(context, repositories, cfg)
 
     util.warn_if_unsupported(configuration)
     util.process_whitelist_experimental(repositories, workflow, configuration, logger)
diff --git a/commands/upgrade/__init__.py b/commands/upgrade/__init__.py
index 8dbeda0a12..02f1ca2aaf 100644
--- a/commands/upgrade/__init__.py
+++ b/commands/upgrade/__init__.py
@@ -2,7 +2,6 @@
 import sys
 import uuid
 
-from leapp.actors import config as actor_config
 from leapp.cli.commands import command_utils
 from leapp.cli.commands.config import get_config
 from leapp.cli.commands.upgrade import breadcrumbs, util
@@ -92,15 +91,7 @@ def upgrade(args, breadcrumbs):
         raise CommandError(exc.message)
     workflow = repositories.lookup_workflow('IPUWorkflow')(auto_reboot=args.reboot)
 
-    # Read the Actor Config and validate it against the schemas saved in the
-    # configuration.
-    actor_config_schemas = tuple(actor.config_schemas for actor in repositories.actors)
-    actor_config_schemas = actor_config.normalize_schemas(actor_config_schemas)
-    actor_config_path = cfg.get('actor_config', 'path')
-    # Note: actor_config.load() stores the loaded actor config into a global
-    # variable which can then be accessed by functions in that file.  Is this
-    # the right way to store that information?
-    actor_config.load(actor_config_path, actor_config_schemas)
+    command_utils.load_actor_configs_and_store_it_in_db(context, repositories, cfg)
 
     util.process_whitelist_experimental(repositories, workflow, configuration, logger)
     util.warn_if_unsupported(configuration)