{"id":443,"date":"2026-04-15T16:26:14","date_gmt":"2026-04-15T16:26:14","guid":{"rendered":"https:\/\/wrangleai.com\/blog\/?p=443"},"modified":"2026-04-15T16:26:16","modified_gmt":"2026-04-15T16:26:16","slug":"best-practices-for-ai-cost-allocation-in-software-companies","status":"publish","type":"post","link":"https:\/\/wrangleai.com\/blog\/best-practices-for-ai-cost-allocation-in-software-companies\/","title":{"rendered":"Best Practices for AI Cost Allocation in Software Companies"},"content":{"rendered":"\n<p>Artificial intelligence is now a core part of how software companies build and scale products. From chat features to automation workflows, AI is used across multiple teams and use cases. While this brings speed and innovation, it also introduces a new challenge &#8220;<a href=\"https:\/\/wrangleai.com\/blog\/category\/ai-cost-controls\/\" title=\"cost control.\">cost control.<\/a>&#8220;<\/p>\n\n\n\n<p>Many software companies struggle to understand where their AI spending is going. Costs are spread across teams, products, and workflows, which makes it hard to track and manage. Without a clear structure, spending increases and accountability becomes weak.<\/p>\n\n\n\n<p>This is why AI cost allocation is becoming a critical capability for modern software businesses.<\/p>\n\n\n\n<p>In this guide, we will explain what AI cost allocation means, why it matters, and the best practices you should follow to manage it effectively.<\/p>\n\n\n<div class=\"wp-block-aioseo-table-of-contents\"><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-cost-allocation-5\">What Is AI Cost Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-ai-cost-allocation-matters-in-saas-14\">Why AI Cost Allocation Matters in software<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-lack-of-visibility-creates-blind-spots-17\">Lack of visibility creates blind spots<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-no-accountability-across-teams-19\">No accountability across teams<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-difficulty-in-measuring-roi-21\">Difficulty in measuring ROI<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-risk-of-uncontrolled-spending-23\">Risk of uncontrolled spending<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-challenges-in-ai-cost-allocation-26\">Challenges in AI Cost Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-best-practices-for-ai-cost-allocation-in-saas-companies-31\">Best Practices for AI Cost Allocation in Software Companies<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-establish-granular-visibility-across-ai-usage-33\">Establish Granular Visibility Across AI Usage<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-allocate-costs-at-the-feature-level-38\">Allocate Costs at the Feature Level<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-assign-ownership-to-teams-43\">Assign Ownership to Teams<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-align-cost-allocation-with-business-metrics-48\">Align Cost Allocation with Business Metrics<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-implement-model-based-cost-tracking-58\">Implement Model Based Cost Tracking<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-use-smart-routing-to-optimise-allocation-63\">Use Smart Routing to Optimise Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-control-token-usage-across-systems-68\">Control Token Usage Across Systems<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-implement-caching-for-repeated-workloads-72\">Implement Caching for Repeated Workloads<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-set-budgets-and-alerts-by-team-or-feature-77\">Set Budgets and Alerts by Team or Feature<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-build-a-centralised-cost-allocation-system-82\">Build a Centralised Cost Allocation System<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-review-and-optimise-regularly-86\">Review and Optimise Regularly<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-common-mistakes-to-avoid-91\">Common Mistakes to Avoid<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-benefits-of-strong-ai-cost-allocation-96\">Benefits of Strong AI Cost Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-the-role-of-platforms-in-ai-cost-allocation-101\">The Role of Platforms in AI Cost Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-wrangleai-is-built-for-ai-cost-allocation-105\">Why WrangleAI Is Built for AI Cost Allocation<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-final-thoughts-111\">Final Thoughts<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-faqs-117\">FAQs<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-cost-allocation-118\">What is AI cost allocation?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-cost-allocation-118\">Why do Software companies need AI cost allocation?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-cost-allocation-118\">How can AI cost allocation be improved?<\/a><\/li><\/ul><\/li><\/ul><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-is-ai-cost-allocation-5\">What Is AI Cost Allocation<\/h2>\n\n\n\n<p>AI cost allocation is the process of assigning AI related costs to specific teams, products, features, or users.<\/p>\n\n\n\n<p>Instead of looking at total <a href=\"https:\/\/wrangleai.com\/blog\/ai-spend-visibility\/\" title=\"AI spend\">AI spend<\/a> as one number, companies break it down into smaller parts so they can understand:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which team is driving the most cost<\/li>\n\n\n\n<li>Which product features are expensive<\/li>\n\n\n\n<li>Which use cases deliver value<\/li>\n\n\n\n<li>Where inefficiencies exist<\/li>\n<\/ul>\n\n\n\n<p>This level of detail allows companies to make better financial and product decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-ai-cost-allocation-matters-in-saas-14\">Why AI Cost Allocation Matters in software<\/h2>\n\n\n\n<p>Software companies operate in a fast moving environment. Teams experiment, launch features, and scale quickly. Without proper cost allocation, AI usage becomes difficult to manage.<\/p>\n\n\n\n<p>Here are the key reasons why AI cost allocation is important.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-lack-of-visibility-creates-blind-spots-17\">Lack of visibility creates blind spots<\/h3>\n\n\n\n<p>When costs are not tracked at a granular level, leaders cannot see what is driving spend. This leads to poor decision making.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-no-accountability-across-teams-19\">No accountability across teams<\/h3>\n\n\n\n<p>If costs are shared without ownership, teams have no incentive to optimise their usage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-difficulty-in-measuring-roi-21\">Difficulty in measuring ROI<\/h3>\n\n\n\n<p>Without linking cost to features or outcomes, it is hard to understand whether AI is delivering real value.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-risk-of-uncontrolled-spending-23\">Risk of uncontrolled spending<\/h3>\n\n\n\n<p>AI costs can grow quickly, especially with usage based pricing models.<\/p>\n\n\n\n<p>AI cost allocation solves these problems by bringing clarity and control.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-challenges-in-ai-cost-allocation-26\">Challenges in AI Cost Allocation<\/h2>\n\n\n\n<p>Before applying best practices, it is important to understand the challenges companies face.<\/p>\n\n\n\n<p>AI systems are often distributed across multiple tools and providers. Different teams may use different models for different tasks. Costs are based on tokens, requests, or compute usage, which makes tracking more complex than traditional software costs.<\/p>\n\n\n\n<p>In many cases, companies also lack a central system to monitor AI usage in real time.<\/p>\n\n\n\n<p>Because of these challenges, cost allocation requires both technical and operational discipline.<\/p>\n\n\n\n<p><em><strong>Quick link:<\/strong> <a href=\"https:\/\/wrangleai.com\/blog\/how-ai-finops-prevents-gpt-overuse\/\" title=\"How AI FinOps Prevents GPT Overuse\">How AI FinOps Prevents GPT Overuse<\/a><\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-best-practices-for-ai-cost-allocation-in-saas-companies-31\">Best Practices for AI Cost Allocation in software Companies<\/h2>\n\n\n\n<p>To build an effective AI cost allocation system, software companies need a structured approach. The following best practices provide a strong foundation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-establish-granular-visibility-across-ai-usage-33\">Establish Granular Visibility Across AI Usage<\/h2>\n\n\n\n<p>The first step in AI cost allocation is visibility.<\/p>\n\n\n\n<p>Companies must be able to track every AI request across their systems. This includes understanding which models are used, how often they are called, how many tokens are consumed, and how much each interaction costs.<\/p>\n\n\n\n<p>Granular visibility allows companies to break down costs by team, feature, or product. It also helps identify areas where usage is higher than expected.<\/p>\n\n\n\n<p>Without this level of insight, cost allocation cannot be accurate.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-allocate-costs-at-the-feature-level-38\">Allocate Costs at the Feature Level<\/h2>\n\n\n\n<p>Many companies allocate AI costs at the team level, but this is often not enough.<\/p>\n\n\n\n<p>A more effective approach is to allocate costs at the feature level. This means linking AI usage directly to specific product features such as chatbots, recommendations, or automation workflows.<\/p>\n\n\n\n<p>This approach provides a clearer picture of which features are expensive and whether they justify their cost.<\/p>\n\n\n\n<p>It also helps product teams make better decisions about what to optimise, scale, or remove.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-assign-ownership-to-teams-43\">Assign Ownership to Teams<\/h2>\n\n\n\n<p>Cost allocation is not only about tracking. It is also about accountability.<\/p>\n\n\n\n<p>Each team should have clear ownership of the AI costs they generate. This ensures that teams are aware of their spending and take responsibility for optimising it.<\/p>\n\n\n\n<p>Ownership encourages better behaviour. Teams become more mindful of how they design prompts, choose models, and handle requests.<\/p>\n\n\n\n<p>Without ownership, cost allocation becomes a reporting exercise with little impact.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-align-cost-allocation-with-business-metrics-48\">Align Cost Allocation with Business Metrics<\/h2>\n\n\n\n<p>AI cost allocation should not exist in isolation.<\/p>\n\n\n\n<p>It should be connected to business outcomes such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Revenue generated by a feature<\/li>\n\n\n\n<li>User engagement<\/li>\n\n\n\n<li>Customer retention<\/li>\n\n\n\n<li>Operational efficiency<\/li>\n<\/ul>\n\n\n\n<p>By linking cost to value, companies can measure the return on their AI investments.<\/p>\n\n\n\n<p>This allows leaders to prioritise high value use cases and reduce spending on low impact features.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-implement-model-based-cost-tracking-58\">Implement Model Based Cost Tracking<\/h2>\n\n\n\n<p>Different AI models have different cost structures.<\/p>\n\n\n\n<p>Some models are more expensive but offer better performance, while others are cheaper but less capable.<\/p>\n\n\n\n<p>Companies should track cost based on the model being used. This helps identify whether expensive models are being used where they are not needed.<\/p>\n\n\n\n<p>Model level tracking also supports better optimisation decisions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/wrangleai.com\/demo\/\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"171\" src=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png\" alt=\"CTA\" class=\"wp-image-272\" srcset=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png 1024w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-300x50.png 300w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-768x128.png 768w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-use-smart-routing-to-optimise-allocation-63\">Use Smart Routing to Optimise Allocation<\/h2>\n\n\n\n<p>Smart routing is a key strategy for improving AI cost allocation.<\/p>\n\n\n\n<p>Instead of sending all requests to the same model, companies can route requests based on complexity and requirements.<\/p>\n\n\n\n<p>Simple tasks can be handled by cost effective models, while complex tasks can use advanced models when necessary.<\/p>\n\n\n\n<p>This ensures that cost is allocated efficiently and prevents unnecessary spending.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-control-token-usage-across-systems-68\">Control Token Usage Across Systems<\/h2>\n\n\n\n<p>Token usage is one of the main drivers of AI cost.<\/p>\n\n\n\n<p>Companies should monitor and control token usage across all systems. This includes reducing input size, limiting output length, and avoiding repeated instructions.<\/p>\n\n\n\n<p>By managing tokens effectively, companies can reduce overall spend and improve cost allocation accuracy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-implement-caching-for-repeated-workloads-72\">Implement Caching for Repeated Workloads<\/h2>\n\n\n\n<p>In many software applications, similar requests are processed multiple times.<\/p>\n\n\n\n<p>Without caching, each request generates new cost even if the result is the same.<\/p>\n\n\n\n<p>By caching responses and reusing them when possible, companies can reduce duplicate costs and improve efficiency.<\/p>\n\n\n\n<p>This also makes cost allocation more meaningful, as it reflects unique usage rather than repeated requests.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-set-budgets-and-alerts-by-team-or-feature-77\">Set Budgets and Alerts by Team or Feature<\/h2>\n\n\n\n<p>Cost allocation becomes more effective when it is combined with control mechanisms.<\/p>\n\n\n\n<p>Companies should set budgets for teams or features and define alerts for unusual usage patterns.<\/p>\n\n\n\n<p>This helps prevent cost spikes and ensures that spending remains within acceptable limits.<\/p>\n\n\n\n<p>Budgets and alerts also reinforce accountability across teams.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-build-a-centralised-cost-allocation-system-82\">Build a Centralised Cost Allocation System<\/h2>\n\n\n\n<p>Managing AI cost allocation manually is difficult and time consuming.<\/p>\n\n\n\n<p>A centralised system allows companies to track, analyse, and manage AI costs in one place. It brings together data from different models, providers, and teams into a unified view.<\/p>\n\n\n\n<p>This makes it easier to allocate costs accurately and take action when needed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-review-and-optimise-regularly-86\">Review and Optimise Regularly<\/h2>\n\n\n\n<p>AI usage is dynamic. New features are launched, user behaviour changes, and models evolve.<\/p>\n\n\n\n<p>This means cost allocation should be reviewed regularly.<\/p>\n\n\n\n<p>Companies should analyse usage patterns, identify inefficiencies, and adjust their strategies over time.<\/p>\n\n\n\n<p>Continuous optimisation ensures that cost allocation remains accurate and relevant.<\/p>\n\n\n\n<p><em><strong>Quick link:<\/strong> <a href=\"https:\/\/wrangleai.com\/blog\/ai-finops-checklist-for-scaling-startups\/\" title=\"AI FinOps Checklist for Scaling Startups\">AI FinOps Checklist for Scaling Startups<\/a><\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-common-mistakes-to-avoid-91\">Common Mistakes to Avoid<\/h2>\n\n\n\n<p>Even with the right intentions, many companies make mistakes when implementing AI cost allocation.<\/p>\n\n\n\n<p>Some focus only on total cost without breaking it down. Others fail to assign ownership, which leads to weak accountability. Some rely on expensive models for all tasks, while others ignore token optimisation.<\/p>\n\n\n\n<p>Another common mistake is treating cost allocation as a one time setup instead of an ongoing process.<\/p>\n\n\n\n<p>Avoiding these mistakes is essential for long term success.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-benefits-of-strong-ai-cost-allocation-96\">Benefits of Strong AI Cost Allocation<\/h2>\n\n\n\n<p>When implemented correctly, AI cost allocation delivers significant benefits.<\/p>\n\n\n\n<p>Companies gain full visibility into their AI spending. Teams become accountable for their usage. Costs become more predictable and easier to manage.<\/p>\n\n\n\n<p>It also improves decision making. Leaders can see which features deliver value and which ones need optimisation.<\/p>\n\n\n\n<p>Most importantly, it allows companies to scale AI with confidence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-the-role-of-platforms-in-ai-cost-allocation-101\">The Role of Platforms in AI Cost Allocation<\/h2>\n\n\n\n<p>As AI usage grows, manual tracking becomes impractical.<\/p>\n\n\n\n<p>Companies need platforms that provide real time visibility, cost tracking, and optimisation tools. These platforms help manage AI usage across models, teams, and products in a structured way.<\/p>\n\n\n\n<p>They also simplify cost allocation by providing clear insights and actionable data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-wrangleai-is-built-for-ai-cost-allocation-105\">Why WrangleAI Is Built for AI Cost Allocation<\/h2>\n\n\n\n<p>Managing AI cost allocation at scale requires more than spreadsheets and manual tracking.<\/p>\n\n\n\n<p>WrangleAI is designed to give software companies full control over their AI usage and costs.<\/p>\n\n\n\n<p><a href=\"https:\/\/wrangleai.com\/track\" title=\"It enables teams to track every token, request, and model interaction in real time.\">It enables teams to track every token, request, and model interaction in real time.<\/a> This provides granular visibility into how costs are distributed across teams and features.<\/p>\n\n\n\n<p><a href=\"https:\/\/wrangleai.com\/\" title=\"\">WrangleAI also supports smart routing<\/a>, helping companies use the right model for each task and avoid unnecessary spending. With built in controls such as budgets, limits, and alerts, it ensures that cost allocation is not just tracked but actively managed.<\/p>\n\n\n\n<p>For software companies looking to scale AI responsibly, WrangleAI provides the tools needed to implement effective AI cost allocation without adding complexity.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/wrangleai.com\/\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"171\" src=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png\" alt=\"CTA\" class=\"wp-image-272\" srcset=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png 1024w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-300x50.png 300w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-768x128.png 768w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-final-thoughts-111\">Final Thoughts<\/h2>\n\n\n\n<p>AI is a powerful driver of growth for software companies, but it also introduces new financial challenges.<\/p>\n\n\n\n<p>Without proper cost allocation, AI usage can become difficult to manage and even harder to justify.<\/p>\n\n\n\n<p>By following these best practices, companies can bring clarity, control, and accountability to their AI spending.<\/p>\n\n\n\n<p>The goal is not to reduce AI usage. The goal is to use it in a way that delivers maximum value for every unit of cost.<\/p>\n\n\n\n<p>Companies that master AI cost allocation will be in a stronger position to scale, compete, and succeed in an AI driven world.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-faqs-117\">FAQs<\/h2>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-cost-allocation-118\"><h3 class=\"aioseo-faq-block-question\">What is AI cost allocation?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>AI cost allocation is the process of assigning AI related costs to specific teams, features, or products so companies can track spending and manage it effectively.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-cost-allocation-118\"><h3 class=\"aioseo-faq-block-question\">Why do software companies need AI cost allocation?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>Software companies need AI cost allocation to gain visibility into spending, improve accountability across teams, and ensure AI usage delivers real business value.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-cost-allocation-118\"><h3 class=\"aioseo-faq-block-question\">How can AI cost allocation be improved?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>AI cost allocation can be improved by tracking usage at a detailed level, assigning ownership, optimising model usage, and using platforms like WrangleAI for better control and visibility.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is now a core part of how software companies build and scale products. 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