diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Content processing solution accelerator
+# Content Processing Solution Accelerator
> [!WARNING]
> **Important Update**
@@ -8,21 +8,18 @@ Process multi-document claims by extracting data from each document, applying sc
The core content processing engine supports text, images, tables and graphs with schema-based transformation and confidence scoring. These capabilities can be applied to numerous use cases including: insurance claims processing, contract review, invoice processing, ID verification, and logistics shipment record processing.
-
-
-
-
+---
**Note:** With any AI solutions you create using these templates, you are responsible for assessing all associated risks and for complying with all applicable laws and safety standards. Learn more in the transparency documents for [Agent Service](https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/agents/transparency-note) and [Agent Framework](https://github.com/microsoft/agent-framework/blob/main/TRANSPARENCY_FAQ.md).
-
-
-Solution overview
-
+
+
+
+## Solution overview
This accelerator leverages Azure AI Foundry, Azure AI Content Understanding Service, Azure OpenAI Service GPT-5.1, Azure Blob Storage, Azure Cosmos DB, and Azure Container Apps to process multi-document claims through a two-level architecture:
@@ -34,7 +31,8 @@ Processing, extraction, schema transformation, summarization, and gap analysis s
### Solution architecture
|  |
-| -------------------------------------------------------- |
+|---|
+
Click to view detailed architecture diagram
@@ -130,6 +128,7 @@ graph TB
+
### Agentic architecture
The claim processing workflow is built on the **Agent Framework's Workflow Engine** — a DAG-based event-streaming execution model that orchestrates specialized AI agents across the claim lifecycle. Each stage is an autonomous `Executor` that receives context, performs its task, and passes results downstream.
@@ -194,98 +193,99 @@ flowchart TB
| **Fault tolerance** | Exponential backoff retries, dead-letter queue (`claim-process-dead-letter-queue`), graceful shutdown |
| **Extensibility** | Add new agents (executors) and edges to the DAG without modifying existing stages |
-For full details, see [Claim Processing Workflow (Agent Framework)](./docs/ClaimProcessWorkflow.md).
-
-
-### How to customize
+### Additional resources
-If you'd like to customize the solution accelerator, here are some common areas to start:
+For detailed technical information, see the component documentation:
-[Adding your own Schemas and Data](./docs/CustomizeSchemaData.md)
+[Technical Architecture](./docs/TechnicalArchitecture.md)
-[Modifying System Processing Prompts](./docs/CustomizeSystemPrompts.md)
+[Document Processing Pipeline (4-stage extraction)](./docs/ProcessingPipelineApproach.md)
-[Gap Analysis Ruleset Guide (YAML DSL — no-code rule authoring)](./docs/GapAnalysisRulesetGuide.md)
+[Claim Processing Workflow (Agent Framework)](./docs/ClaimProcessWorkflow.md)
-[API Reference for Content Processing & Claim Management](./docs/API.md)
+[Golden Path Workflows (end-to-end walkthroughs)](./docs/GoldenPathWorkflows.md)
-[Customizing the Claim Processing Workflow](./docs/ClaimProcessWorkflow.md)
+If you'd like to customize the solution accelerator, here are some common areas to start:
-
+[Adding your own Schemas and Data](./docs/CustomizeSchemaData.md)
-### Additional resources
+[Modifying System Processing Prompts](./docs/CustomizeSystemPrompts.md)
-[Technical Architecture](./docs/TechnicalArchitecture.md)
+[Gap Analysis Ruleset Guide (YAML DSL — no-code rule authoring)](./docs/GapAnalysisRulesetGuide.md)
-[Document Processing Pipeline (4-stage extraction)](./docs/ProcessingPipelineApproach.md)
+[API Reference for Content Processing & Claim Management](./docs/API.md)
-[Claim Processing Workflow (Agent Framework)](./docs/ClaimProcessWorkflow.md)
+[Customizing the Claim Processing Workflow](./docs/ClaimProcessWorkflow.md)
-[Golden Path Workflows (end-to-end walkthroughs)](./docs/GoldenPathWorkflows.md)
+---
-
+## Features
### Key features
- Click to learn more about the key features this solution enables
-- **Multi-document claim processing**
+Click to learn more about the key features this solution enables
+
+- **Multi-document claim processing**
Upload multiple files to a single claim and process them as a batch. The claim workflow orchestrates content extraction for each document, then performs cross-document summarization and gap analysis.
-- **Multi-modal content processing**
+- **Multi-modal content processing**
Core extraction engine utilizes machine learning-based OCR for efficient text extraction and integrates GPT-5.1 Vision for processing various content formats including text, images, tables, and graphs.
-- **AI-powered summarization & gap analysis**
+- **AI-powered summarization & gap analysis**
After all documents in a claim are processed, GPT-5.1 generates a consolidated summary and performs gap analysis — detecting missing documents and flagging cross-document discrepancies across the claim.
-- **No-code gap analysis ruleset (YAML DSL)**
+- **No-code gap analysis ruleset (YAML DSL)**
Gap analysis rules are defined in a reusable YAML-based Domain-Specific Language — domain experts can add, modify, or replace rules without writing code. The same DSL format is portable across industries (insurance, logistics, legal, finance). See [Gap Analysis Ruleset Guide](./docs/GapAnalysisRulesetGuide.md).
-- **Agent Framework Workflow Engine**
+- **Agent Framework Workflow Engine**
Claim processing is orchestrated by a DAG-based workflow engine with event streaming, concurrent workers, retry logic, and dead-letter queue support for production reliability.
-- **Schema-based data transformation**
+- **Schema-based data transformation**
Maps extracted content to custom or industry-defined schemas and outputs as JSON for interoperability.
-- **Confidence scoring**
+- **Confidence scoring**
Calculation of entity extraction and schema mapping processes for accuracy, providing scores to drive manual human-in-the-loop review, if desired.
-- **Review, validate, update**
+- **Review, validate, update**
Transparency in reviewing processing steps, summaries, and gap analysis — allowing for review, comparison to source asset, ability to modify output results, and annotation for historical reference.
-- **API driven processing pipelines**
+- **API driven processing pipelines**
API endpoints are available for claim lifecycle management, content processing, schema management, and external source system integration.
+
+
+
+---
+
+## Getting Started
+
+
-
-
-Quick deploy
-
+### Quick deploy
-### How to install or deploy
+#### How to install or deploy
-Follow the quick deploy steps on the deployment guide to deploy this solution to your own Azure subscription.
+Follow the quick deploy steps on the deployment guide to deploy this solution to your own Azure subscription.
> **Note:** This solution accelerator requires **Azure Developer CLI (azd) version 1.18.0 or higher**. Please ensure you have the latest version installed before proceeding with deployment. [Download azd here](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd).
[Click here to launch the deployment guide](./docs/DeploymentGuide.md)
-
| [](https://codespaces.new/microsoft/content-processing-solution-accelerator) | [](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/microsoft/content-processing-solution-accelerator) | [&message=Open&color=blue&logo=visualstudiocode&logoColor=white)](https://vscode.dev/azure/?vscode-azure-exp=foundry&agentPayload=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) |
-| ------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-
-
+|---|---|---|
> **Note**: Some tenants may have additional security restrictions that run periodically and could impact the application (e.g., blocking public network access). If you experience issues or the application stops working, check if these restrictions are the cause. In such cases, consider deploying the WAF-supported version to ensure compliance. To configure, [Click here](./docs/DeploymentGuide.md#31-choose-deployment-type-optional).
-> ⚠️ **Important: Check Azure OpenAI Quota Availability**
-
To ensure sufficient quota is available in your subscription, please follow [quota check instructions guide](./docs/quota_check.md) before you deploy the solution.
+> ⚠️ **Important: Check Azure OpenAI Quota Availability**
+> To ensure sufficient quota is available in your subscription, please follow [quota check instructions guide](./docs/quota_check.md) before you deploy the solution.
> 🛠️ **Need Help?** Check our [Troubleshooting Guide](./docs/TroubleShootingSteps.md) for solutions to common deployment issues.
-
+
+## Guidance
### Prerequisites and costs
@@ -297,40 +297,40 @@ Check the [Azure Products by Region](https://azure.microsoft.com/en-us/explore/g
Pricing varies per region and usage, so it isn't possible to predict exact costs for your usage. The majority of the Azure resources used in this infrastructure are on usage-based pricing tiers. However, Azure Container Registry has a fixed cost per registry per day.
-Use the [Azure pricing calculator](https://azure.microsoft.com/en-us/pricing/calculator) to calculate the cost of this solution in your subscription. [Review a sample pricing sheet for the architecture](https://azure.com/e/0a9a1459d1a2440ca3fd274ed5b53397).
+Use the [Azure pricing calculator](https://azure.microsoft.com/en-us/pricing/calculator) to calculate the cost of this solution in your subscription.
+Review a [sample pricing sheet](https://azure.com/e/0a9a1459d1a2440ca3fd274ed5b53397) in the event you want to customize and scale usage.
-
+_Note: This is not meant to outline all costs as selected SKUs, scaled use, customizations, and integrations into your own tenant can affect the total consumption of this sample solution. The sample pricing sheet is meant to give you a starting point to customize the estimate for your specific needs._
+>⚠️ **Important:** To avoid unnecessary costs, remember to take down your app if it's no longer in use, either by deleting the resource group in the Portal or running `azd down`.
-| Product | Description | Cost |
-| -------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
-| [Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/) | Build generative AI applications on an enterprise-grade platform | [Pricing](https://azure.microsoft.com/pricing/details/ai-studio/) |
-| [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/) | Provides REST API access to OpenAI's powerful language models including GPT-5.1 for content extraction, summarization, and gap analysis | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
-| [Azure AI Content Understanding Service](https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/) | Analyzes various media content—such as audio, video, text, and images—transforming it into structured, searchable data | [Pricing](https://azure.microsoft.com/en-us/pricing/details/content-understanding/) |
-| [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) | Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data | [Pricing](https://azure.microsoft.com/pricing/details/storage/blobs/) |
-| [Azure Container Apps](https://learn.microsoft.com/en-us/azure/container-apps/) | Allows you to run containerized applications without worrying about orchestration or infrastructure. | [Pricing](https://azure.microsoft.com/pricing/details/container-apps/) |
-| [Azure Container Registry](https://learn.microsoft.com/en-us/azure/container-registry/) | Build, store, and manage container images and artifacts in a private registry for all types of container deployments | [Pricing](https://azure.microsoft.com/pricing/details/container-registry/) |
-| [Azure Cosmos DB](https://learn.microsoft.com/en-us/azure/cosmos-db/) | Fully managed, distributed NoSQL, relational, and vector database for modern app development | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cosmos-db/autoscale-provisioned/) |
-| [Azure Queue Storage](https://learn.microsoft.com/en-us/azure/storage/queues/) | Store large numbers of messages and access messages from anywhere in the world via HTTP or HTTPS. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/storage/queues/) |
-| [GPT Model Capacity](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | GPT-5.1 model with multimodal capabilities, accepting both text and images as input for extraction, summarization, and gap analysis | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
-
+## Resources
->⚠️ **Important:** To avoid unnecessary costs, remember to take down your app if it's no longer in use,
-either by deleting the resource group in the Portal or running `azd down`.
+| Product | Description | Tier / Expected Usage Notes | Cost |
+|---|---|---|---|
+| [Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/) | Build generative AI applications on an enterprise-grade platform | Free Tier | [Pricing](https://azure.microsoft.com/pricing/details/ai-studio/) |
+| [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/) | Provides REST API access to OpenAI's powerful language models including GPT-5.1 for content extraction, summarization, and gap analysis | S0 Tier; pricing depends on token volume and model used. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
+| [Azure AI Content Understanding Service](https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/) | Analyzes various media content—such as audio, video, text, and images—transforming it into structured, searchable data | S0 Tier; pricing based on pages and transactions processed. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/content-understanding/) |
+| [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) | Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data | Standard Tier; pricing based on storage and transactions. | [Pricing](https://azure.microsoft.com/pricing/details/storage/blobs/) |
+| [Azure Container Apps](https://learn.microsoft.com/en-us/azure/container-apps/) | Allows you to run containerized applications without worrying about orchestration or infrastructure. | Consumption plan; pricing based on vCPU and memory usage. | [Pricing](https://azure.microsoft.com/pricing/details/container-apps/) |
+| [Azure Container Registry](https://learn.microsoft.com/en-us/azure/container-registry/) | Build, store, and manage container images and artifacts in a private registry for all types of container deployments | Basic Tier; fixed daily cost per registry. | [Pricing](https://azure.microsoft.com/pricing/details/container-registry/) |
+| [Azure Cosmos DB](https://learn.microsoft.com/en-us/azure/cosmos-db/) | Fully managed, distributed NoSQL, relational, and vector database for modern app development | Serverless or provisioned throughput; pricing based on request units and storage. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cosmos-db/autoscale-provisioned/) |
+| [Azure Queue Storage](https://learn.microsoft.com/en-us/azure/storage/queues/) | Store large numbers of messages and access messages from anywhere in the world via HTTP or HTTPS. | Standard Tier; pricing based on number of transactions. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/storage/queues/) |
+| [GPT Model Capacity](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | GPT-5.1 model with multimodal capabilities, accepting both text and images as input for extraction, summarization, and gap analysis | Pricing depends on token volume and model used. | [Pricing](https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/) |
For detailed cost estimation and pricing information, see the [Deployment Guide](./docs/DeploymentGuide.md).
-
-
-Business scenario
-
-|  |
-| ------------------------------------- |
+---
-
+
+
+## Business scenario
+
+|  |
+|---|
The included sample scenario demonstrates a **First Notice of Loss (FNOL)** workflow for an auto insurance company. A claims analyst receives incoming collision claims — each containing an auto insurance claim form, police report, repair estimate, and photos of vehicle damage — that need to be processed together.
@@ -346,98 +346,89 @@ The analyst reviews the AI-generated summary for a quick overview, checks gap an
⚠️ The sample data used in this repository is synthetic and generated using Azure OpenAI service. The data is intended for use as sample data only.
-
-
-
-
### Business value
- Click to learn more about what value this solution provides
-- **Automated claim intake**
+Click to learn more about what value this solution provides
+
+- **Automated claim intake**
Upload claim forms, police reports, repair estimates, and damage photos to a single claim. The workflow engine orchestrates extraction, summarization, and gap analysis automatically — reducing intake processing from hours to minutes.
-- **Cross-document intelligence**
+- **Cross-document intelligence**
AI-powered summarization consolidates findings across all documents in a claim, while gap analysis identifies missing documents and flags discrepancies — such as mismatched claim numbers, VIN conflicts, or date-of-loss differences between the claim form and police report.
-- **No-code gap rules**
+- **No-code gap rules**
Gap analysis rules are defined in a YAML DSL that domain experts can modify without writing code — add required document checks, adjust severity levels, or define new discrepancy rules across industries.
-- **Confidence-driven human-in-the-loop**
+- **Confidence-driven human-in-the-loop**
Extraction and schema mapping are scored for accuracy using dual confidence signals (OCR-level and model log-probability), so analysts can focus human review on low-confidence results while high-confidence data flows through automatically.
-- **Verifiable review & audit trail**
+- **Verifiable review & audit trail**
Review AI-generated extractions, summaries, and gap analysis results side-by-side with source documents. Annotate changes, add comments, and compare processing steps for transparency and audit readiness.
-- **Responsible AI safety gate**
+- **Responsible AI safety gate**
A built-in RAI executor screens every document's extracted content against 10 safety categories — including self-harm, violence, prompt injection, and discriminatory content — before further processing, helping ensure only safe content reaches downstream workflows.
-- **Schema-driven extensibility**
+- **Schema-driven extensibility**
Define custom Pydantic schemas to extract structured data from any document type. The same extraction pipeline generalizes across industries — insurance, logistics, legal, finance — without code changes.
-- **Production-ready orchestration**
+- **Production-ready orchestration**
The Agent Framework Workflow Engine provides DAG-based execution with event streaming, retry logic, dead-letter queues, and graceful shutdown — designed for reliable, scalable processing in production environments.
-- **API-first integration**
+- **API-first integration**
All capabilities — claim lifecycle, content processing, schema management — are exposed through REST APIs, enabling integration with existing line-of-business systems, RPA workflows, and custom applications.
-
-
-Supporting documentation
-
+---
-### Security guidelines
+
-This template uses [Azure App Configuration](https://learn.microsoft.com/azure/azure-app-configuration/overview) for centralized configuration management and [Managed Identity](https://learn.microsoft.com/entra/identity/managed-identities-azure-resources/overview) for secure service-to-service authentication — no connection strings or secrets are stored in application code.
+## Supporting documentation
-To ensure continued best practices in your own repository, we recommend that anyone creating solutions based on our templates ensure that the [Github secret scanning](https://docs.github.com/code-security/secret-scanning/about-secret-scanning) setting is enabled.
+### Security guidelines
-You may want to consider additional security measures, such as:
+This template uses [Azure App Configuration](https://learn.microsoft.com/azure/azure-app-configuration/overview) for centralized configuration management and [Managed Identity](https://learn.microsoft.com/entra/identity/managed-identities-azure-resources/overview) for secure service-to-service authentication — no connection strings or secrets are stored in application code.
-- Enabling Microsoft Defender for Cloud to [secure your Azure resources](https://learn.microsoft.com/azure/security-center/defender-for-cloud).
-- Protecting the Azure Container Apps instance with a [firewall](https://learn.microsoft.com/azure/container-apps/waf-app-gateway) and/or [Virtual Network](https://learn.microsoft.com/azure/container-apps/networking?tabs=workload-profiles-env%2Cazure-cli).
+To maintain strong security practices, it is recommended that GitHub repositories built on this solution enable [GitHub secret scanning](https://docs.github.com/code-security/secret-scanning/about-secret-scanning) to detect accidental secret exposure.
-
+Additional security considerations include:
+- Enabling [Microsoft Defender for Cloud](https://learn.microsoft.com/azure/security-center/defender-for-cloud) to monitor and secure Azure resources.
+- Using [Virtual Networks](https://learn.microsoft.com/azure/container-apps/networking?tabs=workload-profiles-env%2Cazure-cli) or [firewall rules](https://learn.microsoft.com/azure/container-apps/waf-app-gateway) to protect Azure Container Apps from unauthorized access.
+- Implementing authentication and authorization for the frontend application using Microsoft Entra ID or other identity providers.
### Cross references
Check out similar solution accelerators
-| Solution Accelerator | Description |
-| -------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [Document knowledge mining](https://github.com/microsoft/Document-Knowledge-Mining-Solution-Accelerator) | Process and extract summaries, entities, and metadata from unstructured, multi-modal documents and enable searching and chatting over this data. |
+| Solution Accelerator | Description |
+|---|---|
+| [Document knowledge mining](https://github.com/microsoft/Document-Knowledge-Mining-Solution-Accelerator) | Process and extract summaries, entities, and metadata from unstructured, multi-modal documents and enable searching and chatting over this data. |
| [Conversation knowledge mining](https://github.com/microsoft/Conversation-Knowledge-Mining-Solution-Accelerator) | Derive insights from volumes of conversational data using generative AI. It offers key phrase extraction, topic modeling, and interactive chat experiences through an intuitive web interface. |
-| [Document generation](https://github.com/microsoft/document-generation-solution-accelerator) | Identify relevant documents, summarize unstructured information, and generate document templates. |
+| [Document generation](https://github.com/microsoft/document-generation-solution-accelerator) | Identify relevant documents, summarize unstructured information, and generate document templates. |
-
## Provide feedback
Have questions, find a bug, or want to request a feature? [Submit a new issue](https://github.com/microsoft/content-processing-solution-accelerator/issues) on this repo and we'll connect.
-
-
## Responsible AI Transparency FAQ
Please refer to [Transparency FAQ](./TRANSPARENCY_FAQ.md) for responsible AI transparency details of this solution accelerator.
-
-
## Disclaimers
-To the extent that the Software includes components or code used in or derived from Microsoft products or services, including without limitation Microsoft Azure Services (collectively, “Microsoft Products and Services”), you must also comply with the Product Terms applicable to such Microsoft Products and Services. You acknowledge and agree that the license governing the Software does not grant you a license or other right to use Microsoft Products and Services. Nothing in the license or this ReadMe file will serve to supersede, amend, terminate or modify any terms in the Product Terms for any Microsoft Products and Services.
+To the extent that the Software includes components or code used in or derived from Microsoft products or services, including without limitation Microsoft Azure Services (collectively, "Microsoft Products and Services"), you must also comply with the Product Terms applicable to such Microsoft Products and Services. You acknowledge and agree that the license governing the Software does not grant you a license or other right to use Microsoft Products and Services. Nothing in the license or this ReadMe file will serve to supersede, amend, terminate or modify any terms in the Product Terms for any Microsoft Products and Services.
-You must also comply with all domestic and international export laws and regulations that apply to the Software, which include restrictions on destinations, end users, and end use. For further information on export restrictions, visit .
+You must also comply with all domestic and international export laws and regulations that apply to the Software, which include restrictions on destinations, end users, and end use. For further information on export restrictions, visit https://aka.ms/exporting.
-You acknowledge that the Software and Microsoft Products and Services (1) are not designed, intended or made available as a medical device(s), and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customer is solely responsible for displaying and/or obtaining appropriate consents, warnings, disclaimers, and acknowledgements to end users of Customer’s implementation of the Online Services.
+You acknowledge that the Software and Microsoft Products and Services (1) are not designed, intended or made available as a medical device(s), and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customer is solely responsible for displaying and/or obtaining appropriate consents, warnings, disclaimers, and acknowledgements to end users of Customer's implementation of the Online Services.
-You acknowledge the Software is not subject to SOC 1 and SOC 2 compliance audits. No Microsoft technology, nor any of its component technologies, including the Software, is intended or made available as a substitute for the professional advice, opinion, or judgement of a certified financial services professional. Do not use the Software to replace, substitute, or provide professional financial advice or judgment.
+You acknowledge the Software is not subject to SOC 1 and SOC 2 compliance audits. No Microsoft technology, nor any of its component technologies, including the Software, is intended or made available as a substitute for the professional advice, opinion, or judgement of a certified financial services professional. Do not use the Software to replace, substitute, or provide professional financial advice or judgment.
-BY ACCESSING OR USING THE SOFTWARE, YOU ACKNOWLEDGE THAT THE SOFTWARE IS NOT DESIGNED OR INTENDED TO SUPPORT ANY USE IN WHICH A SERVICE INTERRUPTION, DEFECT, ERROR, OR OTHER FAILURE OF THE SOFTWARE COULD RESULT IN THE DEATH OR SERIOUS BODILY INJURY OF ANY PERSON OR IN PHYSICAL OR ENVIRONMENTAL DAMAGE (COLLECTIVELY, “HIGH-RISK USE”), AND THAT YOU WILL ENSURE THAT, IN THE EVENT OF ANY INTERRUPTION, DEFECT, ERROR, OR OTHER FAILURE OF THE SOFTWARE, THE SAFETY OF PEOPLE, PROPERTY, AND THE ENVIRONMENT ARE NOT REDUCED BELOW A LEVEL THAT IS REASONABLY, APPROPRIATE, AND LEGAL, WHETHER IN GENERAL OR IN A SPECIFIC INDUSTRY. BY ACCESSING THE SOFTWARE, YOU FURTHER ACKNOWLEDGE THAT YOUR HIGH-RISK USE OF THE SOFTWARE IS AT YOUR OWN RISK.
+BY ACCESSING OR USING THE SOFTWARE, YOU ACKNOWLEDGE THAT THE SOFTWARE IS NOT DESIGNED OR INTENDED TO SUPPORT ANY USE IN WHICH A SERVICE INTERRUPTION, DEFECT, ERROR, OR OTHER FAILURE OF THE SOFTWARE COULD RESULT IN THE DEATH OR SERIOUS BODILY INJURY OF ANY PERSON OR IN PHYSICAL OR ENVIRONMENTAL DAMAGE (COLLECTIVELY, "HIGH-RISK USE"), AND THAT YOU WILL ENSURE THAT, IN THE EVENT OF ANY INTERRUPTION, DEFECT, ERROR, OR OTHER FAILURE OF THE SOFTWARE, THE SAFETY OF PEOPLE, PROPERTY, AND THE ENVIRONMENT ARE NOT REDUCED BELOW A LEVEL THAT IS REASONABLY, APPROPRIATE, AND LEGAL, WHETHER IN GENERAL OR IN A SPECIFIC INDUSTRY. BY ACCESSING THE SOFTWARE, YOU FURTHER ACKNOWLEDGE THAT YOUR HIGH-RISK USE OF THE SOFTWARE IS AT YOUR OWN RISK.