diff --git a/README.md b/README.md
index 0d0072455..e693516eb 100644
--- a/README.md
+++ b/README.md
@@ -30,7 +30,7 @@ When software does more when the electricity is clean and do less when the
 electricity is dirty, or runs in a location where the energy is cleaner, we call
 this **carbon aware software**.
 
-> todo: insert the image of demand shaping here
+> ```todo: insert the image of demand shaping here```
 
 The Carbon Aware SDK helps you build the carbon aware software solutions with
 the intelligence to use the greenest energy sources. Run them at the greenest
@@ -75,6 +75,8 @@ The Carbon Aware SDK is being used by large and small companies around the
 world. Some of the world’s biggest enterprises and software companies, through
 to start-ups.  Both UBS and Vestas have used the SDK, with further details over on the [adopters overview](./docs/adopters.md).
 
+Both UBS and Vestas have used the SDK, with more information ```link to case study page```
+
 Machine Learning (ML) workloads are a great example of long running compute
 intensive workloads, that often are also not time critical. By moving these workloads to a different time, the carbon emissions from the ML training can be reduced by up to 15%, and by moving the location of the training this can be
 reduced even further, at times by up to 50% or more.