diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
index 316d34f..1b149e4 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
@@ -50,9 +50,8 @@
 }
 
 template <typename Type>
-nn::GeneralResult<void> compliantVersion(const Type& canonical) {
-    const auto version = NN_TRY(::android::hardware::neuralnetworks::utils::makeGeneralFailure(
-            nn::validate(canonical)));
+nn::Result<void> compliantVersion(const Type& canonical) {
+    const auto version = NN_TRY(nn::validate(canonical));
     if (version > kVersion) {
         return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
     }
diff --git a/neuralnetworks/aidl/utils/src/Burst.cpp b/neuralnetworks/aidl/utils/src/Burst.cpp
index 800ac32..c59c10b 100644
--- a/neuralnetworks/aidl/utils/src/Burst.cpp
+++ b/neuralnetworks/aidl/utils/src/Burst.cpp
@@ -176,16 +176,14 @@
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
     hal::utils::RequestRelocation relocation;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
-                    &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
-    const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
-    const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
-    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
-    const auto aidlLoopTimeoutDuration =
-            NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+    const auto aidlRequest = NN_TRY(convert(requestInShared));
+    const auto aidlMeasure = NN_TRY(convert(measure));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
+    const auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
 
     std::vector<int64_t> memoryIdentifierTokens;
     std::vector<OptionalCacheHold> holds;
@@ -233,8 +231,8 @@
         return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
                << "execution failed with " << nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
     }
-    auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
-            convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
+    auto [outputShapes, timing] =
+            NN_TRY(convertExecutionResults(executionResult.outputShapes, executionResult.timing));
 
     if (relocation.output) {
         relocation.output->flush();
@@ -308,7 +306,7 @@
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> BurstExecution::compute(
         const nn::OptionalTimePoint& deadline) const {
-    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
     return kBurst->executeInternal(kRequest, kMemoryIdentifierTokens, kMeasure, aidlDeadline,
                                    kLoopTimeoutDuration, kRelocation);
 }
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index f087156..ddff3f2 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -178,9 +178,8 @@
     }
 
     auto operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance));
-    auto table = NN_TRY(hal::utils::makeGeneralFailure(
-            Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)),
-            nn::ErrorStatus::GENERAL_FAILURE));
+    auto table =
+            NN_TRY(Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)));
 
     return Capabilities{
             .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
diff --git a/neuralnetworks/aidl/utils/src/Execution.cpp b/neuralnetworks/aidl/utils/src/Execution.cpp
index 2aee8a6..13d4f32 100644
--- a/neuralnetworks/aidl/utils/src/Execution.cpp
+++ b/neuralnetworks/aidl/utils/src/Execution.cpp
@@ -60,7 +60,7 @@
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
         const nn::OptionalTimePoint& deadline) const {
-    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
     return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration,
                                            kRelocation);
 }
diff --git a/neuralnetworks/aidl/utils/src/PreparedModel.cpp b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
index f861d74..0769016 100644
--- a/neuralnetworks/aidl/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
@@ -78,16 +78,14 @@
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
     hal::utils::RequestRelocation relocation;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
-                    &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
-    const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
-    const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
-    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
-    const auto aidlLoopTimeoutDuration =
-            NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+    const auto aidlRequest = NN_TRY(convert(requestInShared));
+    const auto aidlMeasure = NN_TRY(convert(measure));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
+    const auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
     return executeInternal(aidlRequest, aidlMeasure, aidlDeadline, aidlLoopTimeoutDuration,
                            relocation);
 }
@@ -110,8 +108,8 @@
         return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
                << "execution failed with " << nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
     }
-    auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
-            convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
+    auto [outputShapes, timing] =
+            NN_TRY(convertExecutionResults(executionResult.outputShapes, executionResult.timing));
 
     if (relocation.output) {
         relocation.output->flush();