The Future is Now: How AI Revolutionizes Standard Operating Procedure Creation in 2026
The backbone of any successful organization, from a burgeoning startup to a multinational corporation, has always been its Standard Operating Procedures (SOPs). These detailed guides ensure consistency, maintain quality, reduce errors, and accelerate training. Yet, the process of creating and maintaining SOPs has traditionally been a tedious, time-consuming, and often manual endeavor. Business analysts, operations managers, and department heads have historically grappled with documenting complex workflows, interviewing subject matter experts, and translating intricate processes into clear, actionable steps. This often resulted in outdated documents, knowledge silos, and a significant drain on valuable resources.
But what if you could transform hours of documentation into minutes? What if every critical process, from onboarding a new employee to executing a complex financial transaction, could be captured, analyzed, and transcribed into a professional, ready-to-use SOP with unprecedented speed and accuracy? In 2026, this isn't a hypothetical vision – it's a tangible reality, thanks to the exponential advancements in Artificial Intelligence.
This article will meticulously explore how AI is fundamentally reshaping the landscape of SOP creation. We'll uncover the mechanics behind AI-powered tools, provide a practical, step-by-step guide to generating your own AI-written SOPs using innovative platforms like ProcessReel, and quantify the measurable return on investment businesses are already experiencing. Prepare to discover how your organization can move beyond the manual drudgery and embrace an era of intelligent, efficient, and consistently accurate procedure documentation.
The End of Manual SOP Drudgery: Why AI is Essential for Modern Businesses
For decades, the standard approach to creating SOPs involved a dedicated team or individual spending countless hours observing, interviewing, transcribing, formatting, and reviewing. Consider the scenario of a mid-sized e-commerce company, "Global Retail Solutions," aiming to document its order fulfillment process. Their operations manager, Sarah Chen, would typically spend two full days each month just updating existing SOPs and another three days creating new ones for evolving processes like international shipping regulations or new product return protocols. This doesn't even account for the initial creation time, which could easily stretch into weeks for a single, complex workflow.
This traditional method is plagued by several inherent inefficiencies:
- Time-Consuming: The manual effort required for documentation is immense, diverting skilled personnel from core revenue-generating activities. A single detailed SOP for a customer service agent handling returns could take an experienced operations specialist 12-16 hours to draft, review, and finalize.
- Inconsistency and Subjectivity: Different authors might describe the same process with varying levels of detail or terminology, leading to confusion and errors. This human element introduces variability that compromises the core purpose of an SOP: consistency.
- Rapid Obsolescence: Business processes evolve constantly. Manual updates struggle to keep pace, quickly rendering existing SOPs outdated and ineffective. A new software update or a change in a compliance regulation can instantly invalidate a previously perfect document.
- Knowledge Silos: Critical operational knowledge often resides with a few key individuals. If these individuals leave or are unavailable, their undocumented expertise represents a significant business risk. This problem is particularly acute in industries with high employee turnover, such as call centers or retail.
- High Error Rates: Manual transcription and human error can introduce inaccuracies into procedures, leading to operational mistakes, compliance issues, and customer dissatisfaction. A misplaced decimal in a financial SOP, for example, could lead to costly reconciliations.
The advent of AI offers a compelling solution to each of these challenges. By automating the capture, analysis, and generation of procedural documentation, AI liberates businesses from the bottlenecks of manual SOP creation. Companies are reporting significant time savings, improved accuracy, and a dynamic approach to knowledge management. Instead of Sarah Chen spending 40 hours a month on SOPs, an AI-powered system can reduce that to perhaps 8-10 hours, primarily for review and minor refinements. This translates directly into a more agile, resilient, and cost-effective operation.
Understanding How AI Transforms SOP Creation
At its core, AI's ability to create SOPs hinges on its capacity to interpret, understand, and synthesize human actions and language. This is not about simple transcription; it's about intelligent contextual analysis. The process typically involves a sophisticated blend of technologies:
- Natural Language Processing (NLP): This allows AI to understand and generate human language. When you narrate your process, NLP algorithms analyze your spoken words, extracting key actions, objects, and intentions. It discerns the difference between a casual aside and a crucial instruction.
- Computer Vision: For screen recordings, computer vision algorithms "see" what's happening on your screen. They identify clicks, scrolls, typed text, and the specific UI elements (buttons, menus, input fields) you interact with. This is how the AI recognizes "Click 'Submit Order' button" or "Navigate to 'Settings' tab."
- Speech-to-Text Transcription: This foundational technology converts your spoken narration into written text, forming the basis for the textual instructions.
Think of it like this: traditionally, an operations specialist would observe someone performing a task, take notes, and then write out the steps. AI tools, particularly those designed for SOP creation from screen recordings like ProcessReel, essentially perform the same observation and documentation, but with unparalleled speed and precision.
When you record your screen while narrating a process, ProcessReel's AI engine goes to work. It takes your verbal cues (NLP and speech-to-text) and correlates them with your on-screen actions (computer vision). If you say, "Next, I'll open the customer database," and then your mouse moves to click an icon labeled "Customer DB," the AI understands this as a singular, cohesive step: "Open the Customer Database." It automatically captures screenshots at critical junctures, identifies the specific elements interacted with, and generates a clear, concise instruction.
This intelligent synthesis allows the AI to not just document what happened, but to infer the purpose and sequence of actions, structuring them into logical, actionable steps characteristic of a well-written SOP. This profound shift from manual observation and interpretation to AI-driven analysis means that the core work of drafting an SOP is largely automated, requiring human intervention primarily for review and strategic enhancement. For a deeper dive into the technical underpinnings and broader implications, consider reading our article on AI SOP Generation in 2026: How It Works and Why It Matters.
Step-by-Step Guide: Using AI to Write Your SOPs with ProcessReel
Leveraging AI to generate your Standard Operating Procedures isn't a futuristic fantasy; it's a straightforward process that empowers anyone to become a documentarian. Here’s how you can transform your team's expertise into structured, professional SOPs using a tool like ProcessReel:
Step 1: Define Your Process & Prepare for Recording
Before you even launch your AI tool, a little preparation goes a long way.
- Identify the specific process: Don't try to document an entire department's operations in one go. Break down large workflows into manageable, discrete processes. For example, instead of "Employee Onboarding," focus on "Setting Up a New Employee's Email Account" or "Adding a New Hire to the HRIS System."
- Outline key steps mentally: Have a general idea of the sequence of actions you'll perform. This helps ensure your narration flows logically.
- Ensure a clean environment: Close unnecessary tabs or applications on your screen to minimize distractions in the recording.
- Prepare your narration points: Think about what you'll say for each step. Aim for clear, concise instructions. For example, instead of "I'm going to do something now," say, "First, navigate to the dashboard."
Example Scenario: An HR coordinator, David, needs to create an SOP for updating an employee's benefits information in the company's Human Resources Information System (HRIS), "PeopleCentral." He knows the process involves logging in, searching for the employee, navigating to the benefits tab, making changes, and saving.
Step 2: Record Your Screen and Narrate Clearly
This is where the magic begins. AI-powered tools like ProcessReel are specifically designed for this capture phase.
- Launch ProcessReel: Open the application on your desktop.
- Select your recording area: Choose to record your entire screen or a specific application window where the process will take place.
- Start recording and narrate: Begin performing your process exactly as you would normally, but speak aloud, describing each action as you take it.
- Be explicit: Instead of "Go here," say, "Click on the 'Employee Records' tab."
- Describe the outcome: "Enter the employee ID 'JS123' into the search field."
- Explain critical decisions: "If the employee has dependents, select 'Yes' from the dropdown menu."
- Maintain a steady pace: Don't rush or pause for too long. Clear, continuous narration helps the AI correlate speech with action.
Example Scenario (cont.): David starts his recording. "Okay, first, I'm opening the PeopleCentral application. Now, I'm logging in with my administrator credentials... I'll click the 'Employees' tab here. Next, I'll use the search bar to find Jane Smith, employee ID JS-789. Once I see Jane's profile, I'll click on the 'Benefits' section... I need to update her dental plan from basic to premium. I'll select 'Premium' from the 'Dental Coverage' dropdown and then click 'Save Changes' at the bottom right. Finally, I'll log out of PeopleCentral."
Step 3: Let AI Do the Heavy Lifting
Once your recording is complete, ProcessReel takes over.
- Stop recording: Click the stop button within the ProcessReel interface.
- Upload/Process: The recording will typically be uploaded to the ProcessReel cloud for AI analysis. This processing usually takes only a few minutes, depending on the recording length.
- Automatic Generation: The AI will analyze your screen actions, your narration, and identify key steps. It will automatically:
- Segment the recording into logical steps.
- Generate a descriptive title for each step based on your narration and actions.
- Capture relevant screenshots for each step.
- Annotate screenshots to highlight specific elements you interacted with (e.g., a red box around a clicked button, an arrow pointing to a text field).
- Translate your narration into concise, written instructions for each step.
- Structure the entire document into a professional SOP format.
Example Scenario (cont.): David stops his 3-minute recording. Within moments, ProcessReel processes the video. He receives a notification that his draft SOP for "Updating Employee Benefits in PeopleCentral" is ready for review.
Step 4: Review, Refine, and Customize
While AI is incredibly accurate, human review remains crucial for ensuring clarity, adding nuance, and aligning with organizational standards.
- Access the Draft SOP: Open the generated SOP within ProcessReel's editor.
- Review Step by Step:
- Read through each step's title and description.
- Examine the accompanying screenshot and annotations.
- Edit for clarity and conciseness: You might rephrase "click the thingy" to "Click the 'Submit' button."
- Add context or warnings: Insert notes like "Caution: Ensure all fields are correctly populated before saving," or "Important: Only authorized personnel should perform this action."
- Adjust screenshots: If a screenshot isn't ideal, you might be able to easily adjust the capture area or add further annotations within the tool.
- Reorder steps: If the AI's segmentation isn't perfect, you can drag and drop steps to correct the flow.
- Add introductory and concluding remarks: Include a purpose statement, scope, required tools, and any relevant disclaimers.
- Incorporate company branding: Add your company logo, specific fonts, and color schemes if the tool allows.
Example Scenario (cont.): David reviews the generated SOP. He notices the AI accurately captured 12 steps. He makes a few tweaks:
- Renames "Open program" to "Launch PeopleCentral HRIS Application."
- Adds a note under the login step: "Use your single sign-on (SSO) credentials."
- Clarifies one step's description from "Change plan" to "Select 'Premium Dental Plan' from the dropdown menu."
- Adds an introductory paragraph about the purpose of the SOP and a concluding statement about verification. The whole review process takes him about 15 minutes.
Step 5: Publish and Share
Once you're satisfied with your AI-generated and human-refined SOP, it's time to make it accessible.
- Select output format: ProcessReel often allows you to export SOPs in various formats like PDF, Word, or web-based interactive guides.
- Integrate with your knowledge base: Many AI SOP tools offer direct integrations with popular knowledge management systems (e.g., SharePoint, Confluence, internal wikis) or cloud storage.
- Distribute to relevant teams: Share the document with the individuals or departments who need to follow the procedure.
Example Scenario (cont.): David exports the "Updating Employee Benefits" SOP as a PDF and a web-based link. He then uploads the PDF to the HR team's shared drive and embeds the web link into their internal Confluence page under "HR Procedures." He sends a quick announcement to the HR team that the updated SOP is available.
Step 6: Maintain and Update Effortlessly
One of the greatest advantages of AI-powered SOP creation is the ease of maintenance.
- Identify changes: When a process changes, simply identify the affected steps.
- Record specific updates: Instead of re-recording the entire process, you can often record only the changed segments. ProcessReel, for instance, allows you to insert new steps or re-record existing ones easily.
- AI re-generates/updates: The AI will automatically integrate these changes into the existing SOP, updating screenshots and text.
- Rapid review and re-publish: Review the updated sections and publish the revised SOP in a fraction of the time it took to create or update manually.
Example Scenario (cont.): Three months later, PeopleCentral updates its UI, moving the "Save Changes" button. David records a 15-second clip of himself navigating to the benefits tab, making a dummy change, and clicking the new "Save" button location. He uploads this to ProcessReel, which seamlessly updates the relevant step in his existing SOP. This entire update takes less than 5 minutes.
By following these steps, organizations can drastically cut down on the time and resources traditionally associated with SOP creation, ensuring that their procedures are not only accurate and consistent but also always current.
Beyond Basic Procedures: Advanced AI SOP Applications
While documenting straightforward workflows is a primary benefit, AI's capabilities extend far beyond the basics, offering sophisticated solutions for complex operational challenges.
Complex Workflow Documentation
Imagine an IT support team troubleshooting a multi-stage network issue, or a compliance officer navigating intricate regulatory filing requirements. These processes often involve conditional logic, multiple decision points, and interactions across various software systems.
- Example: A financial institution's "Suspicious Activity Report (SAR) Filing Procedure" might involve 30-40 steps, conditional branches based on transaction thresholds, and data entry into three different systems (internal CRM, fraud detection software, government reporting portal). An AI tool can intelligently segment these complex paths by recognizing explicit 'if-then' statements in narration or by analyzing user decisions (e.g., clicking 'Approve' vs. 'Deny'). The AI can generate distinct sub-procedures or create interactive SOPs that guide users down the correct path based on their input. This ensures that even the most convoluted processes are documented with clarity, reducing the likelihood of critical errors in high-stakes environments.
Multilingual SOP Generation
In an increasingly globalized business environment, having SOPs available in multiple languages is crucial for international teams and diverse workforces.
- Example: A manufacturing company with facilities in Germany, Mexico, and Vietnam needs its "Machine Maintenance Checklist" SOP in German, Spanish, and Vietnamese. Instead of commissioning separate translation services for each document, which is costly and prone to inconsistencies, AI can provide instant, high-quality translations. Advanced AI SOP platforms integrate sophisticated translation models, allowing a single English SOP to be automatically translated into multiple target languages with a high degree of accuracy, ensuring operational consistency across all global sites and fostering a more inclusive work environment.
Enhanced Accessibility Features
AI-generated SOPs can be designed with accessibility in mind, benefiting employees with diverse needs.
- Example: For an employee with visual impairments, a traditional text-heavy SOP can be challenging. AI tools can generate SOPs that are compatible with screen readers, automatically provide alt-text for images, or even convert text-based steps into audio instructions. For employees with cognitive differences, the ability to generate simplified versions of SOPs with less jargon and more visual cues can significantly improve comprehension and adherence to procedures, leading to a more inclusive and efficient workforce.
Integration with Existing Knowledge Management Systems
The true power of AI SOP generation is often realized when it seamlessly integrates with your existing tech stack.
- Example: A sales team uses Salesforce for CRM and Confluence for their knowledge base. When a new "Lead Qualification Process" SOP is created, AI tools can automatically publish it to Confluence. Furthermore, if the SOP involves specific steps within Salesforce, the AI can link directly to those relevant sections or forms within the CRM, creating a fluid, interactive experience for the user. This integration ensures that SOPs are not isolated documents but living, connected resources that are always accessible where and when they are needed most.
To further understand how these advanced applications fit into a broader strategy for operational excellence, you might find our article on 10 SOP Templates Every Operations Team Needs in 2026: Optimize Efficiency, Reduce Errors, and Future-Proof Your Business insightful. These templates, when combined with AI generation, create a powerful synergy for documentation.
The Tangible ROI: Real-World Impact of AI-Generated SOPs
The shift to AI-powered SOP creation isn't just about making documentation easier; it's about delivering measurable, impactful results across the organization. Businesses are seeing significant returns on investment in terms of time savings, cost reductions, error rate decreases, and accelerated training cycles.
Case Study 1: HR Onboarding Efficiency
Company: "Connect Staffing Solutions," a staffing agency with 150 employees and onboarding 10-15 new hires monthly. Challenge: Their HR Manager, Emily Davis, spent 1.5 days (12 hours) per month manually creating and updating onboarding SOPs for various roles (e.g., IT setup, benefits enrollment, performance review process). New hire onboarding took 14 days on average due to inconsistent training documentation. AI Solution: Implemented ProcessReel to record and generate SOPs for each onboarding sub-process. Impact:
- Time Savings: Emily's time spent on SOP creation and updates reduced from 12 hours to 2 hours per month – a 90% reduction, freeing up 10 hours for strategic HR initiatives.
- Faster Onboarding: New hire onboarding time was cut by 64%, from 14 days to 5 days, by providing clearer, step-by-step AI-generated SOPs. This meant new recruiters were productive 9 days earlier.
- Cost Savings: With an average recruiter salary of $60,000/year, getting them productive 9 days faster saved Connect Staffing Solutions approximately $2,300 per new hire in lost productivity, totaling over $34,500 annually for their 15 new hires each month.
For more insights into accelerating your onboarding processes, check out our guide on How to Cut New Hire Onboarding from 14 Days to 3.
Case Study 2: Finance Department Error Reduction
Company: "Apex Accounting Services," a boutique firm handling client payroll and expense reporting for 50 small businesses. Challenge: Manual entry and reconciliation processes in client accounting led to an average of 3-4 minor errors per month, requiring 4-6 hours of a Senior Accountant's time to resolve. This cost approximately $400-$600 monthly in billable hours. AI Solution: Documented all critical payroll and expense reconciliation processes using AI-generated SOPs. Impact:
- Reduced Errors: By providing highly detailed and visually supported SOPs, the error rate dropped by 75%, from 4 errors/month to 1 error/month.
- Time Savings: Time spent on error resolution decreased from 5 hours to 1 hour per month.
- Reputational Gain: Improved accuracy led to higher client satisfaction and fewer billing disputes, enhancing the firm's reputation. This allowed the senior accountant to focus on higher-value client advisory work.
Case Study 3: Customer Service Training Acceleration
Company: "Zenith Telecom," a regional internet service provider with a customer service team of 80 agents and an average monthly turnover of 5 agents. Challenge: Training new customer service agents on 30 different call types and resolution processes took 3 weeks (15 business days). This was costly and delayed agents' ability to handle complex issues independently. AI Solution: Zenith used AI to create interactive SOPs for every common customer service scenario, from "resetting Wi-Fi routers" to "upgrading data plans." Impact:
- Faster Training: Training time for new agents was reduced by 60%, from 15 days to 6 days. Agents were confident handling standard queries almost immediately.
- Increased Productivity: Agents became productive much sooner, reducing the need for extensive shadowing and supervisor intervention. This led to a 15% increase in call resolution rates during an agent's first month.
- Improved Consistency: Every agent followed the exact same, AI-generated procedure, leading to a more consistent customer experience and fewer escalations.
These examples demonstrate that the investment in AI tools for SOP generation yields substantial and quantifiable benefits. The ability to quickly create, disseminate, and maintain high-quality procedural documentation directly translates into operational excellence, financial savings, and enhanced employee and customer satisfaction.
Choosing the Right AI SOP Tool (Why ProcessReel Stands Out)
With the growing interest in AI-powered solutions, the market is seeing an emergence of various tools claiming to simplify documentation. When selecting an AI SOP generator, it's crucial to evaluate key criteria that align with your organizational needs:
- Ease of Use & Intuitive Interface: The tool should be simple enough for anyone to use, regardless of technical expertise. If the process of creating an SOP becomes a technical hurdle itself, it defeats the purpose.
- Accuracy of AI Transcription & Analysis: How well does the AI interpret your narration and screen actions? Are the generated steps logical and free of errors?
- Customization & Editing Capabilities: Can you easily refine, add, or reorder steps? Is it straightforward to annotate screenshots or add supplementary information?
- Output Formats & Integrations: Does it support the formats you need (PDF, Word, web links)? Can it integrate with your existing knowledge management systems or share platforms?
- Security & Data Privacy: Especially for sensitive processes, robust security features and compliance with data protection regulations are non-negotiable.
- Pricing Model: Is the pricing structure clear, scalable, and suitable for your usage frequency and team size?
While many tools offer text-to-SOP or basic screenshot capturing, ProcessReel uniquely excels by specializing in the most intuitive and comprehensive input method: screen recording with narration. This approach taps directly into how people naturally demonstrate processes.
Here's why ProcessReel stands out:
- Human-Centric Input: Instead of wrestling with complex prompts or manually stitching together screenshots, you simply do the process and talk through it. This mirrors natural instruction and minimizes the learning curve for creators.
- Intelligent Correlation: ProcessReel's AI masterfully combines your spoken instructions with your on-screen actions. It doesn't just transcribe your words; it understands the context of your clicks, typing, and navigation, creating a richer, more accurate procedural document.
- Visual Clarity: By automatically capturing and annotating relevant screenshots at each step, ProcessReel ensures that every SOP is visually clear and easy to follow. A picture, or rather, a contextualized screenshot, is indeed worth a thousand words when documenting software processes.
- Focus on Actionable Steps: The AI is specifically trained to break down complex sequences into discrete, actionable steps, making the generated SOPs immediately usable for training and reference.
- Speed and Efficiency: What might take hours or days to write manually can be captured and drafted by ProcessReel in minutes, freeing up your team to focus on higher-value tasks.
ProcessReel is engineered to remove the friction from SOP creation, turning a often dreaded task into a seamless, efficient activity. By focusing on capturing real-time action and narration, it provides a truly intuitive and powerful platform for building your organization's operational knowledge base.
FAQ: Your Questions About AI and SOPs Answered
Q1: Is AI really capable of understanding complex human processes and documenting them accurately?
A1: Yes, absolutely. Modern AI, particularly in 2026, has evolved significantly beyond simple automation. Tools like ProcessReel leverage advanced Natural Language Processing (NLP) to understand spoken narration, computer vision to interpret on-screen actions, and machine learning algorithms to identify patterns and logical sequences. This combination allows AI to accurately segment complex processes, translate human actions and instructions into concise textual steps, and automatically capture relevant visual context through screenshots. While human review remains a crucial final step for nuance and organizational tone, the AI handles the bulk of the initial, time-consuming documentation with impressive precision.
Q2: Will AI replace human writers or subject matter experts for SOP creation?
A2: No, AI will not replace human subject matter experts (SMEs) or technical writers; rather, it augments their capabilities and significantly changes their role. AI excels at the repetitive, data-intensive tasks of capturing and transcribing. This frees up SMEs and writers to focus on higher-value activities: ensuring the accuracy of the process, adding critical context, providing strategic insights, verifying compliance, and refining the tone and style of the documentation. Instead of spending 80% of their time on initial drafting, they can now dedicate 80% of their time to validating, enhancing, and strategically deploying SOPs. AI becomes a powerful co-pilot, not a replacement.
Q3: How do AI-generated SOPs handle changes or updates to a process?
A3: This is one of AI's most significant advantages over traditional methods. When a process changes, you don't need to rewrite the entire SOP. With tools like ProcessReel, you can simply record the specific changed segments of the process. The AI then intelligently identifies the new steps, updates the relevant existing steps, and replaces outdated screenshots. This modular approach to updates dramatically reduces maintenance time. Instead of an HR manager spending half a day re-documenting a changed onboarding step, they might spend 10 minutes recording the update and 5 minutes reviewing the AI's integration, ensuring SOPs remain current and accurate with minimal effort.
Q4: What about security and data privacy when using AI tools for internal procedures?
A4: Security and data privacy are paramount, especially for tools handling sensitive internal processes. Reputable AI SOP platforms are built with robust security measures, including data encryption (in transit and at rest), secure cloud infrastructure, and strict access controls. They typically comply with industry standards and regulations like GDPR, HIPAA, and SOC 2 Type 2. Before adopting any AI tool, it's essential to research the vendor's security protocols, data handling policies, and compliance certifications. Most platforms allow you to control who can view, edit, and publish the SOPs, ensuring that your confidential procedures remain protected.
Q5: Can AI SOPs be integrated with our existing knowledge management systems (KMS)?
A5: Yes, seamless integration with existing knowledge management systems (e.g., Confluence, SharePoint, Notion, internal wikis) is a key feature of advanced AI SOP tools. Many platforms offer direct integrations or API access, allowing you to publish AI-generated SOPs directly to your KMS. This ensures that your procedures are not siloed but are readily accessible alongside other critical organizational knowledge. Furthermore, some tools allow for embeddable links or exports in common formats (PDF, Word, HTML), making it easy to upload or link to your SOPs, thereby enhancing discoverability and ensuring your team always has access to the most current operational guides.
In 2026, the question is no longer if AI can write Standard Operating Procedures, but rather how quickly your organization will embrace this transformative technology. The era of manual, time-consuming, and often inconsistent SOP creation is rapidly drawing to a close. AI offers a powerful, intelligent alternative that not only streamlines documentation but fundamentally enhances operational efficiency, reduces errors, and accelerates knowledge transfer across your entire business.
By simply performing your process and narrating your steps, innovative platforms like ProcessReel can translate your expertise into clear, accurate, and professionally formatted SOPs in minutes. This means less time spent on documentation and more time focused on innovation, growth, and core business objectives. The measurable ROI, from faster onboarding to reduced error rates, makes a compelling case for adopting AI-driven SOP generation as a strategic imperative for any forward-thinking organization.
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