diff --git a/recommendations/tests/test_optimisers.py b/recommendations/tests/test_optimisers.py
index efd597f9..d1d1b55f 100644
--- a/recommendations/tests/test_optimisers.py
+++ b/recommendations/tests/test_optimisers.py
@@ -791,12 +791,13 @@ def optimise_with_funding_paths(input_measures, budget=None, target_gain=None, s
     # Heating controls are only eligible if installed as part of a heating upgrade and so we do not include them
     # here
     allowed_types = WALL_INSULATION_MEASURES + ROOF_INSULATION_MEASURES + ECO4_ELIGIBILE_FABRIC_MEASURES
-    funding_paths = [{'AND': [], 'reference': 'fabric-only:eco4'}] + funding_paths
+    funding_paths = [{'reference': 'fabric-only:eco4'}] + funding_paths
 
     solutions = []
     for path_spec in funding_paths:
 
-        if path_spec["reference"] == "fabric-only:eco4":
+        # ECO4 fabric only path = special case
+        if isinstance(path_spec, dict) and path_spec.get("reference") == "fabric-only:eco4":
             sub_measures = _filter_measures_by_types(input_measures, allowed_types)
             if not sub_measures:
                 continue
@@ -881,6 +882,9 @@ def optimise_with_funding_paths(input_measures, budget=None, target_gain=None, s
 
     solutions = pd.DataFrame(solutions)
 
+    # Given the scheme, we now check if the packages are eligible. If they *are* eligible, but they don't meet the
+    # final upgrade target, we then look to perform a final optimisation pass to meet the target gain.
+
     return solutions