diff --git a/mira/modeling/amr/regnet.py b/mira/modeling/amr/regnet.py
index a57b3ff02..9e87ba039 100644
--- a/mira/modeling/amr/regnet.py
+++ b/mira/modeling/amr/regnet.py
@@ -2,7 +2,8 @@
 at https://github.com/DARPA-ASKEM/Model-Representations/tree/main/petrinet.
 """
 
-__all__ = ["AMRRegNetModel", "ModelSpecification"]
+__all__ = ["AMRRegNetModel", "ModelSpecification",
+           "template_model_to_regnet_json"]
 
 
 import json
@@ -15,7 +16,7 @@
 
 from mira.metamodel import *
 
-from .. import Model, is_production
+from .. import Model, is_production, is_conversion
 from .utils import add_metadata_annotations
 
 logger = logging.getLogger(__name__)
@@ -68,7 +69,13 @@ def __init__(self, model: Model):
             self.states.append(state_data)
 
         for idx, transition in enumerate(model.transitions.values()):
-            if isinstance(transition.template, NaturalDegradation):
+            # Regnets cannot represent conversions (only
+            # production/degradation) so we skip these
+            if is_conversion(transition.template):
+                continue
+            # Natural degradation corresponds to an inherent negative
+            # sign on the state so we have special handling for it
+            elif isinstance(transition.template, NaturalDegradation):
                 var = vmap[transition.consumed[0].key]
                 if transition.template.rate_law:
                     pnames = transition.template.get_parameter_names()
@@ -83,6 +90,8 @@ def __init__(self, model: Model):
                 else:
                     state['sign'] = False
                 continue
+            # Controlled production corresponds to an inherent positive
+            # sign on the state so we have special handling for it
             elif isinstance(transition.template, ControlledProduction):
                 var = vmap[transition.produced[0].key]
                 if transition.template.rate_law:
@@ -98,6 +107,9 @@ def __init__(self, model: Model):
                 else:
                     state['sign'] = True
                 continue
+            # Beyond these, we can assume that the transition is a
+            # form of production or degradation corresponding to
+            # a regular transition in the regnet framework
             tid = f"t{idx + 1}"
             transition_dict = {'id': tid}
 
@@ -279,6 +291,21 @@ def to_json_file(
             json.dump(js, fh, **kwargs)
 
 
+def template_model_to_regnet_json(tm: TemplateModel):
+    """Convert a template model to a RegNet JSON dict.
+
+    Parameters
+    ----------
+    tm :
+        The template model to convert.
+
+    Returns
+    -------
+    A JSON dict representing the RegNet model.
+    """
+    return AMRRegNetModel(Model(tm)).to_json()
+
+
 class Initial(BaseModel):
     expression: str
     expression_mathml: str
diff --git a/tests/test_modeling/test_regnet.py b/tests/test_modeling/test_regnet.py
new file mode 100644
index 000000000..a215f0851
--- /dev/null
+++ b/tests/test_modeling/test_regnet.py
@@ -0,0 +1,28 @@
+from mira.sources import amr
+from mira.modeling import Model
+from mira.metamodel.ops import stratify
+
+from mira.modeling.amr.regnet import AMRRegNetModel, \
+    template_model_to_regnet_json
+
+
+def test_regnet_end_to_end():
+    url = 'https://raw.githubusercontent.com/DARPA-ASKEM/' \
+          'Model-Representations/main/regnet/examples/lotka_volterra.json'
+
+    model = amr.regnet.model_from_url(url)
+
+    model_2_city = stratify(
+        model,
+        key="city",
+        strata=[
+            "Toronto",
+            "Montreal",
+        ],
+    )
+
+    # Smoke tests to make sure exports work
+    ex1 = AMRRegNetModel(Model(model)).to_json()
+    ex2 = AMRRegNetModel(Model(model_2_city)).to_json()
+    assert ex1 == template_model_to_regnet_json(model)
+    assert ex2 == template_model_to_regnet_json(model_2_city)
\ No newline at end of file