diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
index 1baabdf..360b338 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
@@ -50,8 +50,8 @@
 }
 
 template <typename Type>
-nn::GeneralResult<void> compliantVersion(const Type& canonical) {
-    const auto version = NN_TRY(hal::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/1.0/utils/src/PreparedModel.cpp b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
index 00970c0..3060c65 100644
--- a/neuralnetworks/1.0/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
@@ -63,12 +63,11 @@
     // 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::kMinMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
-    const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
+    const auto hidlRequest = NN_TRY(convert(requestInShared));
 
     return executeInternal(hidlRequest, relocation);
 }
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
index a8cf8cf..09d9fe8 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
@@ -52,8 +52,8 @@
 }
 
 template <typename Type>
-nn::GeneralResult<void> compliantVersion(const Type& canonical) {
-    const auto version = NN_TRY(hal::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/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index 09691b6..5c3b8a7 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -61,8 +61,8 @@
 }
 
 template <typename Type>
-nn::GeneralResult<void> compliantVersion(const Type& canonical) {
-    const auto version = NN_TRY(hal::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/1.2/utils/src/Callbacks.cpp b/neuralnetworks/1.2/utils/src/Callbacks.cpp
index 9f54bb1..01b5e12 100644
--- a/neuralnetworks/1.2/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.2/utils/src/Callbacks.cpp
@@ -75,8 +75,7 @@
                << "execution failed with " << toString(status);
     }
     HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
-    return hal::utils::makeExecutionFailure(
-            convertExecutionGeneralResultsHelper(outputShapes, timing));
+    return convertExecutionGeneralResultsHelper(outputShapes, timing);
 }
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 29945b7..6a80b42 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -120,9 +120,8 @@
             NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
     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 = relaxedFloat32toFloat16PerformanceScalar,
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index b4b6f68..60dfe52 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -317,8 +317,7 @@
 
     // if the request is valid but of a higher version than what's supported in burst execution,
     // fall back to another execution path
-    if (const auto version = NN_TRY(hal::utils::makeExecutionFailure(nn::validate(request)));
-        version > nn::Version::ANDROID_Q) {
+    if (const auto version = NN_TRY(nn::validate(request)); version > nn::Version::ANDROID_Q) {
         // fallback to another execution path if the packet could not be sent
         return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
     }
@@ -326,17 +325,15 @@
     // 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::kMinMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
     // clear pools field of request, as they will be provided via slots
     const auto requestWithoutPools = nn::Request{
             .inputs = requestInShared.inputs, .outputs = requestInShared.outputs, .pools = {}};
-    auto hidlRequest = NN_TRY(
-            hal::utils::makeExecutionFailure(V1_0::utils::unvalidatedConvert(requestWithoutPools)));
-    const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
+    auto hidlRequest = NN_TRY(V1_0::utils::unvalidatedConvert(requestWithoutPools));
+    const auto hidlMeasure = NN_TRY(convert(measure));
 
     std::vector<int32_t> slots;
     std::vector<OptionalCacheHold> holds;
@@ -364,8 +361,7 @@
 
     // if the request is valid but of a higher version than what's supported in burst execution,
     // fall back to another execution path
-    if (const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(request)));
-        version > nn::Version::ANDROID_Q) {
+    if (const auto version = NN_TRY(nn::validate(request)); version > nn::Version::ANDROID_Q) {
         // fallback to another execution path if the packet could not be sent
         return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
     }
@@ -427,8 +423,7 @@
     }
 
     // get result packet
-    const auto [status, outputShapes, timing] =
-            NN_TRY(hal::utils::makeExecutionFailure(mResultChannelReceiver->getBlocking()));
+    const auto [status, outputShapes, timing] = NN_TRY(mResultChannelReceiver->getBlocking());
 
     if (relocation.output) {
         relocation.output->flush();
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
index c67159e..65ec7f5 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
@@ -45,8 +45,6 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 namespace {
 
-using neuralnetworks::utils::makeExecutionFailure;
-
 constexpr V1_2::Timing kNoTiming = {std::numeric_limits<uint64_t>::max(),
                                     std::numeric_limits<uint64_t>::max()};
 
@@ -241,28 +239,25 @@
                  "ExecutionBurstServer getting memory, executing, and returning results");
 
     // ensure executor with cache has required memory
-    const auto cacheEntries =
-            NN_TRY(makeExecutionFailure(mMemoryCache.getCacheEntries(slotsOfPools)));
+    const auto cacheEntries = NN_TRY(mMemoryCache.getCacheEntries(slotsOfPools));
 
     // convert request, populating its pools
     // This code performs an unvalidated convert because the request object without its pools is
     // invalid because it is incomplete. Instead, the validation is performed after the memory pools
     // have been added to the request.
-    auto canonicalRequest =
-            NN_TRY(makeExecutionFailure(nn::unvalidatedConvert(requestWithoutPools)));
+    auto canonicalRequest = NN_TRY(nn::unvalidatedConvert(requestWithoutPools));
     CHECK(canonicalRequest.pools.empty());
     std::transform(cacheEntries.begin(), cacheEntries.end(),
                    std::back_inserter(canonicalRequest.pools),
                    [](const auto& cacheEntry) { return cacheEntry.first; });
-    NN_TRY(makeExecutionFailure(validate(canonicalRequest)));
+    NN_TRY(validate(canonicalRequest));
 
-    nn::MeasureTiming canonicalMeasure = NN_TRY(makeExecutionFailure(nn::convert(measure)));
+    nn::MeasureTiming canonicalMeasure = NN_TRY(nn::convert(measure));
 
     const auto [outputShapes, timing] =
             NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure, {}, {}));
 
-    return std::make_pair(NN_TRY(makeExecutionFailure(convert(outputShapes))),
-                          NN_TRY(makeExecutionFailure(convert(timing))));
+    return std::make_pair(NN_TRY(convert(outputShapes)), NN_TRY(convert(timing)));
 }
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index d0ef36e..c261184 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -95,13 +95,12 @@
     // 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::kMinMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
-    const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
-    const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
+    const auto hidlRequest = NN_TRY(convert(requestInShared));
+    const auto hidlMeasure = NN_TRY(convert(measure));
 
     return executeInternal(hidlRequest, hidlMeasure, relocation);
 }
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
index 1d76caa..28525bd 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
@@ -61,8 +61,8 @@
 }
 
 template <typename Type>
-nn::GeneralResult<void> compliantVersion(const Type& canonical) {
-    const auto version = NN_TRY(hal::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/1.3/utils/src/Callbacks.cpp b/neuralnetworks/1.3/utils/src/Callbacks.cpp
index 8e9fb83..156216f 100644
--- a/neuralnetworks/1.3/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.3/utils/src/Callbacks.cpp
@@ -91,8 +91,7 @@
                << "execution failed with " << toString(status);
     }
     HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
-    return hal::utils::makeExecutionFailure(
-            convertExecutionGeneralResultsHelper(outputShapes, timing));
+    return convertExecutionGeneralResultsHelper(outputShapes, timing);
 }
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 11225cf..b35b2cd 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -131,9 +131,8 @@
     }
 
     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/1.3/utils/src/Execution.cpp b/neuralnetworks/1.3/utils/src/Execution.cpp
index 3d17cc3..4dc0ddf 100644
--- a/neuralnetworks/1.3/utils/src/Execution.cpp
+++ b/neuralnetworks/1.3/utils/src/Execution.cpp
@@ -65,7 +65,7 @@
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
         const nn::OptionalTimePoint& deadline) const {
-    const auto hidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    const auto hidlDeadline = NN_TRY(convert(deadline));
     return kPreparedModel->executeInternal(kRequest, kMeasure, hidlDeadline, kLoopTimeoutDuration,
                                            kRelocation);
 }
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 1623de5..d5dee9d 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -62,8 +62,7 @@
     auto resultSyncFence = nn::SyncFence::createAsSignaled();
     if (syncFence.getNativeHandle() != nullptr) {
         auto sharedHandle = NN_TRY(nn::convert(syncFence));
-        resultSyncFence = NN_TRY(hal::utils::makeGeneralFailure(
-                nn::SyncFence::create(std::move(sharedHandle)), nn::ErrorStatus::GENERAL_FAILURE));
+        resultSyncFence = NN_TRY(nn::SyncFence::create(std::move(sharedHandle)));
     }
 
     if (callback == nullptr) {
@@ -141,16 +140,14 @@
     // 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::kMinMemoryPadding,
-                    &maybeRequestInShared, &relocation)));
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
-    const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
-    const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
-    const auto hidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
-    const auto hidlLoopTimeoutDuration =
-            NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+    const auto hidlRequest = NN_TRY(convert(requestInShared));
+    const auto hidlMeasure = NN_TRY(convert(measure));
+    const auto hidlDeadline = NN_TRY(convert(deadline));
+    const auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
 
     return executeInternal(hidlRequest, hidlMeasure, hidlDeadline, hidlLoopTimeoutDuration,
                            relocation);
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();
diff --git a/neuralnetworks/utils/adapter/src/PreparedModel.cpp b/neuralnetworks/utils/adapter/src/PreparedModel.cpp
index 8968c2c..7397def 100644
--- a/neuralnetworks/utils/adapter/src/PreparedModel.cpp
+++ b/neuralnetworks/utils/adapter/src/PreparedModel.cpp
@@ -57,6 +57,15 @@
     return result;
 }
 
+nn::GeneralResult<nn::Version> validateRequestForModel(const nn::Request& request,
+                                                       const nn::Model& model) {
+    nn::GeneralResult<nn::Version> version = nn::validateRequestForModel(request, model);
+    if (!version.ok()) {
+        version.error().code = nn::ErrorStatus::INVALID_ARGUMENT;
+    }
+    return version;
+}
+
 class FencedExecutionCallback final : public V1_3::IFencedExecutionCallback {
   public:
     explicit FencedExecutionCallback(const nn::ExecuteFencedInfoCallback& callback)
@@ -148,8 +157,7 @@
     const std::any resource = preparedModel->getUnderlyingResource();
     if (const auto* model = std::any_cast<const nn::Model*>(&resource)) {
         CHECK(*model != nullptr);
-        NN_TRY(utils::makeGeneralFailure(nn::validateRequestForModel(nnRequest, **model),
-                                         nn::ErrorStatus::INVALID_ARGUMENT));
+        NN_TRY(adapter::validateRequestForModel(nnRequest, **model));
     }
 
     Task task = [preparedModel, nnRequest = std::move(nnRequest), callback] {
@@ -175,8 +183,7 @@
     const std::any resource = preparedModel->getUnderlyingResource();
     if (const auto* model = std::any_cast<const nn::Model*>(&resource)) {
         CHECK(*model != nullptr);
-        NN_TRY(utils::makeGeneralFailure(nn::validateRequestForModel(nnRequest, **model),
-                                         nn::ErrorStatus::INVALID_ARGUMENT));
+        NN_TRY(adapter::validateRequestForModel(nnRequest, **model));
     }
 
     Task task = [preparedModel, nnRequest = std::move(nnRequest), nnMeasure, callback] {
@@ -206,8 +213,7 @@
     const std::any resource = preparedModel->getUnderlyingResource();
     if (const auto* model = std::any_cast<const nn::Model*>(&resource)) {
         CHECK(*model != nullptr);
-        NN_TRY(utils::makeGeneralFailure(nn::validateRequestForModel(nnRequest, **model),
-                                         nn::ErrorStatus::INVALID_ARGUMENT));
+        NN_TRY(adapter::validateRequestForModel(nnRequest, **model));
     }
 
     Task task = [preparedModel, nnRequest = std::move(nnRequest), nnMeasure, nnDeadline,
@@ -224,14 +230,14 @@
 nn::ExecutionResult<std::pair<hidl_vec<V1_2::OutputShape>, V1_2::Timing>> executeSynchronously(
         const nn::SharedPreparedModel& preparedModel, const V1_0::Request& request,
         V1_2::MeasureTiming measure) {
-    const auto nnRequest = NN_TRY(utils::makeExecutionFailure(convertInput(request)));
-    const auto nnMeasure = NN_TRY(utils::makeExecutionFailure(convertInput(measure)));
+    const auto nnRequest = NN_TRY(convertInput(request));
+    const auto nnMeasure = NN_TRY(convertInput(measure));
 
     const auto [outputShapes, timing] =
             NN_TRY(preparedModel->execute(nnRequest, nnMeasure, {}, {}));
 
-    auto hidlOutputShapes = NN_TRY(utils::makeExecutionFailure(V1_2::utils::convert(outputShapes)));
-    const auto hidlTiming = NN_TRY(utils::makeExecutionFailure(V1_2::utils::convert(timing)));
+    auto hidlOutputShapes = NN_TRY(V1_2::utils::convert(outputShapes));
+    const auto hidlTiming = NN_TRY(V1_2::utils::convert(timing));
     return std::make_pair(std::move(hidlOutputShapes), hidlTiming);
 }
 
@@ -239,29 +245,30 @@
         const nn::SharedPreparedModel& preparedModel, const V1_3::Request& request,
         V1_2::MeasureTiming measure, const V1_3::OptionalTimePoint& deadline,
         const V1_3::OptionalTimeoutDuration& loopTimeoutDuration) {
-    const auto nnRequest = NN_TRY(utils::makeExecutionFailure(convertInput(request)));
-    const auto nnMeasure = NN_TRY(utils::makeExecutionFailure(convertInput(measure)));
-    const auto nnDeadline = NN_TRY(utils::makeExecutionFailure(convertInput(deadline)));
-    const auto nnLoopTimeoutDuration =
-            NN_TRY(utils::makeExecutionFailure(convertInput(loopTimeoutDuration)));
+    const auto nnRequest = NN_TRY(convertInput(request));
+    const auto nnMeasure = NN_TRY(convertInput(measure));
+    const auto nnDeadline = NN_TRY(convertInput(deadline));
+    const auto nnLoopTimeoutDuration = NN_TRY(convertInput(loopTimeoutDuration));
 
     const auto [outputShapes, timing] =
             NN_TRY(preparedModel->execute(nnRequest, nnMeasure, nnDeadline, nnLoopTimeoutDuration));
 
-    auto hidlOutputShapes = NN_TRY(utils::makeExecutionFailure(V1_3::utils::convert(outputShapes)));
-    const auto hidlTiming = NN_TRY(utils::makeExecutionFailure(V1_3::utils::convert(timing)));
+    auto hidlOutputShapes = NN_TRY(V1_3::utils::convert(outputShapes));
+    const auto hidlTiming = NN_TRY(V1_3::utils::convert(timing));
     return std::make_pair(std::move(hidlOutputShapes), hidlTiming);
 }
 
 nn::GeneralResult<std::vector<nn::SyncFence>> convertSyncFences(
         const hidl_vec<hidl_handle>& handles) {
+    auto nnHandles = NN_TRY(convertInput(handles));
     std::vector<nn::SyncFence> syncFences;
     syncFences.reserve(handles.size());
-    for (const auto& handle : handles) {
-        auto nativeHandle = NN_TRY(convertInput(handle));
-        auto syncFence = NN_TRY(utils::makeGeneralFailure(
-                nn::SyncFence::create(std::move(nativeHandle)), nn::ErrorStatus::INVALID_ARGUMENT));
-        syncFences.push_back(std::move(syncFence));
+    for (auto&& handle : nnHandles) {
+        if (auto syncFence = nn::SyncFence::create(std::move(handle)); !syncFence.ok()) {
+            return nn::error(nn::ErrorStatus::INVALID_ARGUMENT) << std::move(syncFence).error();
+        } else {
+            syncFences.push_back(std::move(syncFence).value());
+        }
     }
     return syncFences;
 }
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h b/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h
index 209b663..e51f916 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h
@@ -52,38 +52,6 @@
         std::move(result).value();                                                           \
     })
 
-template <typename Type>
-nn::GeneralResult<Type> makeGeneralFailure(
-        nn::Result<Type> result, nn::ErrorStatus status = nn::ErrorStatus::GENERAL_FAILURE) {
-    if (!result.has_value()) {
-        return nn::error(status) << std::move(result).error();
-    }
-    if constexpr (!std::is_same_v<Type, void>) {
-        return std::move(result).value();
-    } else {
-        return {};
-    }
-}
-
-template <typename Type>
-nn::ExecutionResult<Type> makeExecutionFailure(nn::GeneralResult<Type> result) {
-    if (!result.has_value()) {
-        const auto [message, status] = std::move(result).error();
-        return nn::error(status) << message;
-    }
-    if constexpr (!std::is_same_v<Type, void>) {
-        return std::move(result).value();
-    } else {
-        return {};
-    }
-}
-
-template <typename Type>
-nn::ExecutionResult<Type> makeExecutionFailure(
-        nn::Result<Type> result, nn::ErrorStatus status = nn::ErrorStatus::GENERAL_FAILURE) {
-    return makeExecutionFailure(makeGeneralFailure(result, status));
-}
-
 #define HANDLE_HAL_STATUS(status)                                       \
     if (const auto canonical = ::android::nn::convert(status).value_or( \
                 ::android::nn::ErrorStatus::GENERAL_FAILURE);           \
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
index ae02c88..235ba29 100644
--- a/neuralnetworks/utils/common/src/CommonUtils.cpp
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -333,7 +333,7 @@
 
 nn::GeneralResult<std::vector<uint32_t>> countNumberOfConsumers(
         size_t numberOfOperands, const std::vector<nn::Operation>& operations) {
-    return makeGeneralFailure(nn::countNumberOfConsumers(numberOfOperands, operations));
+    return nn::countNumberOfConsumers(numberOfOperands, operations);
 }
 
 nn::GeneralResult<hidl_memory> createHidlMemoryFromSharedMemory(const nn::SharedMemory& memory) {