diff --git a/dags/dag_factory.py b/dags/dag_factory.py
index 49b5eac..40a27bd 100644
--- a/dags/dag_factory.py
+++ b/dags/dag_factory.py
@@ -111,6 +111,50 @@ def notify_openmetadata_status(dag_id: str, execution_status: str, task_names: l
             "taskStatus": task_statuses
         }
 
+        # Auto-provision pipelineService if not already created
+        try:
+            svc_payload = {
+                "name": "dlh_airflow_service",
+                "displayName": "DLH Airflow Service",
+                "serviceType": "Airflow",
+                "connection": {
+                    "config": {
+                        "type": "Airflow",
+                        "hostPort": "http://merica-airflow-webserver:8080"
+                    }
+                }
+            }
+            svc_req = urllib.request.Request(
+                f"{active_host}/api/v1/services/pipelineServices",
+                data=json.dumps(svc_payload).encode("utf-8"),
+                headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
+                method="POST"
+            )
+            with urllib.request.urlopen(svc_req, timeout=3) as _:
+                pass
+        except Exception:
+            pass
+
+        # Auto-provision pipeline entity in OpenMetadata
+        try:
+            pipe_payload = {
+                "name": dag_id,
+                "displayName": dag_id.replace("_", " ").title(),
+                "service": "dlh_airflow_service",
+                "description": f"Managed Airflow Pipeline {dag_id}",
+                "tasks": [{"name": str(t), "displayName": str(t), "taskType": "custom_task"} for t in (task_names or [])]
+            }
+            pipe_req = urllib.request.Request(
+                f"{active_host}/api/v1/pipelines",
+                data=json.dumps(pipe_payload).encode("utf-8"),
+                headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
+                method="PUT"
+            )
+            with urllib.request.urlopen(pipe_req, timeout=4) as _:
+                pass
+        except Exception:
+            pass
+
         req = urllib.request.Request(
             f"{active_host}/api/v1/pipelines/{fqn}/status",
             data=json.dumps(status_payload).encode("utf-8"),
diff --git a/dags/helpers/base_lakehouse_operator.py b/dags/helpers/base_lakehouse_operator.py
index 1a0b1ec..5e90a1e 100644
--- a/dags/helpers/base_lakehouse_operator.py
+++ b/dags/helpers/base_lakehouse_operator.py
@@ -100,10 +100,14 @@ class BaseLakehouseOperator(BaseOperator):
             for inlet in self.custom_inlets:
                 inlet_fqn = self._normalize_dataset_fqn(inlet)
                 inlet_uuid = self._resolve_entity_uuid(active_host, token, "table", inlet_fqn)
+                if not inlet_uuid:
+                    inlet_uuid = self._ensure_table_entity(active_host, token, inlet_fqn)
 
                 for outlet in self.custom_outlets:
                     outlet_fqn = self._normalize_dataset_fqn(outlet)
                     outlet_uuid = self._resolve_entity_uuid(active_host, token, "table", outlet_fqn)
+                    if not outlet_uuid:
+                        outlet_uuid = self._ensure_table_entity(active_host, token, outlet_fqn)
 
                     if inlet_uuid and outlet_uuid:
                         payload = {
@@ -183,3 +187,32 @@ class BaseLakehouseOperator(BaseOperator):
                 return data.get("id")
         except Exception:
             return None
+
+    def _ensure_table_entity(self, host: str, token: str, fqn: str) -> Optional[str]:
+        """Auto-provision a missing table entity in OpenMetadata."""
+        try:
+            parts = fqn.split(".")
+            table_name = parts[-1]
+            schema_fqn = ".".join(parts[:-1]) if len(parts) > 1 else "dlh_postgres_service.dlh_lakehouse.public"
+            payload = {
+                "name": table_name,
+                "displayName": table_name.replace("_", " ").title(),
+                "databaseSchema": schema_fqn,
+                "description": f"Managed Lakehouse Table '{table_name}'",
+                "columns": [
+                    {"name": "id", "dataType": "BIGINT", "description": "Primary Key"},
+                    {"name": "data", "dataType": "JSON", "description": "Record Payload"},
+                    {"name": "updated_at", "dataType": "TIMESTAMP", "description": "Timestamp"}
+                ]
+            }
+            req = urllib.request.Request(
+                f"{host}/api/v1/tables",
+                data=json.dumps(payload).encode("utf-8"),
+                headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
+                method="PUT"
+            )
+            with urllib.request.urlopen(req, timeout=4) as resp:
+                data = json.loads(resp.read().decode("utf-8"))
+                return data.get("id")
+        except Exception:
+            return None