diff --git a/deployment/terraform/lambda/modelling_e2e/variables.tf b/deployment/terraform/lambda/modelling_e2e/variables.tf
index 2595d86c..bcade99c 100644
--- a/deployment/terraform/lambda/modelling_e2e/variables.tf
+++ b/deployment/terraform/lambda/modelling_e2e/variables.tf
@@ -26,7 +26,7 @@ variable "reserved_concurrent_executions" {
 
 variable "maximum_concurrency" {
   type        = number
-  default     = 32
+  default     = 12
   description = "Maximum concurrent Lambda invocations from the SQS trigger."
 }
 
diff --git a/scripts/trigger_modelling_e2e_sqs.py b/scripts/trigger_modelling_e2e_sqs.py
index e0d060d9..a4c6a4df 100644
--- a/scripts/trigger_modelling_e2e_sqs.py
+++ b/scripts/trigger_modelling_e2e_sqs.py
@@ -43,15 +43,15 @@ COMPLETED_SINCE: datetime | None = datetime(
 DRY_RUN: bool = False
 
 # False → Lambda skips the Google Solar fetch (re-uses stored Solar data).
-REFETCH_SOLAR: bool = True
+REFETCH_SOLAR: bool = False
 
 # False → use stored lodged EPC for properties that have one; properties with no
 # stored lodged EPC are treated as EPC-less and routed to prediction (no API call).
-REFETCH_EPC: bool = True
+REFETCH_EPC: bool = False
 
 # False → use stored predicted EPC for EPC-less properties that have one; live
 # prediction still runs when no stored predicted EPC exists for the property.
-REPREDICT_EPC: bool = True
+REPREDICT_EPC: bool = False
 # ---------------------------------------------------------------------------
 
 _REPO_ROOT = Path(__file__).resolve().parents[1]