{"id":5909,"date":"2026-07-28T05:19:47","date_gmt":"2026-07-28T05:19:47","guid":{"rendered":"https:\/\/www.originux.com\/resources\/?p=5909"},"modified":"2026-07-28T05:19:50","modified_gmt":"2026-07-28T05:19:50","slug":"how-long-does-ai-development-take-a-step-by-step-timeline","status":"publish","type":"post","link":"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/","title":{"rendered":"How Long Does AI Development Take? A Step-by-Step Timeline"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#How_Long_Does_an_AI_Project_Usually_Take\" >How Long Does an AI Project Usually Take?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_1_Business_Discovery_and_Requirement_Planning\" >Step 1: Business Discovery and Requirement Planning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_2_Data_Assessment_and_Preparation\" >Step 2: Data Assessment and Preparation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_3_Selecting_the_AI_Model_and_Technical_Approach\" >Step 3: Selecting the AI Model and Technical Approach<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_4_Building_a_Proof_of_Concept\" >Step 4: Building a Proof of Concept<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_5_Product_Design_and_Technical_Architecture\" >Step 5: Product Design and Technical Architecture<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_6_Application_Development_and_Integration\" >Step 6: Application Development and Integration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_7_Testing_and_Evaluation\" >Step 7: Testing and Evaluation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_8_Deployment_and_User_Training\" >Step 8: Deployment and User Training<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Step_9_Monitoring_and_Continuous_Improvement\" >Step 9: Monitoring and Continuous Improvement<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#What_Can_Delay_an_AI_Development_Project\" >What Can Delay an AI Development Project?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/#Final_Thoughts\" >Final Thoughts<\/a><\/li><\/ul><\/nav><\/div>\n\n<p class=\"wp-block-paragraph\">AI development can take anywhere from a few weeks for a focused prototype to more than a year for a complex enterprise platform. The timeline depends on the business problem, available data, model requirements, software integrations, security needs, and number of people who will use the solution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A simple assistant connected to a small set of company documents can often be developed faster than a predictive system that depends on years of operational data. Similarly, an internal tool for ten employees requires less preparation than an AI application serving thousands of customers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Businesses should therefore avoid choosing a deadline before defining the project properly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This guide explains each stage of the AI development timeline, what happens during that stage, and which factors can delay delivery.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_Long_Does_an_AI_Project_Usually_Take\"><\/span><strong>How Long Does an AI Project Usually Take?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There is no standard timeline that applies to every AI project. However, the following ranges can help businesses with early planning:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Discovery or feasibility study:<\/strong> 2\u20134 weeks<\/li>\n\n\n\n<li><strong>Focused proof of concept:<\/strong> 4\u20138 weeks<\/li>\n\n\n\n<li><strong>AI minimum viable product:<\/strong> 2\u20134 months<\/li>\n\n\n\n<li><strong>Production-ready custom application:<\/strong> 4\u20139 months<\/li>\n\n\n\n<li><strong>Complex enterprise AI platform:<\/strong> 9\u201318 months or longer<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These estimates should not simply be added together because some activities can happen at the same time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, interface design may begin while the data team prepares information. Integration planning may also happen while a prototype is being tested.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Professional <strong>AI development services<\/strong> should provide a project-specific timeline after reviewing the use case, data, users, and technical environment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_1_Business_Discovery_and_Requirement_Planning\"><\/span><strong>Step 1: Business Discovery and Requirement Planning<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 1\u20133 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project begins with understanding the business problem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">During discovery, the development team meets with stakeholders, studies the existing workflow, identifies intended users, and defines what the AI solution should improve.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team may ask how the current work is completed, where delays happen, what information is available, and which decisions require human approval.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This stage should produce a clear project scope, initial feature list, success measures, risk assessment, and recommended technical direction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A dependable <strong>AI development company<\/strong> should not promise an exact timeline before completing discovery. Important requirements are often uncovered during stakeholder interviews and workflow reviews.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Discovery can take longer when several departments are involved or when stakeholders have different expectations about the product.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_2_Data_Assessment_and_Preparation\"><\/span><strong>Step 2: Data Assessment and Preparation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 2\u20138 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data preparation is often one of the least predictable stages of AI development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team must identify where the necessary information is stored and determine whether it is accurate, complete, accessible, and suitable for the intended use case.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Documents may need to be reviewed and organised. Customer records may contain duplicates. Images may require labels, while predictive systems may need historical information connected to a measurable outcome.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The work may include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collecting data from approved sources<\/li>\n\n\n\n<li>Removing duplicate or outdated information<\/li>\n\n\n\n<li>Correcting inconsistent records<\/li>\n\n\n\n<li>Labelling images, text, or other training examples<\/li>\n\n\n\n<li>Removing unnecessary personal information<\/li>\n\n\n\n<li>Defining access permissions<\/li>\n\n\n\n<li>Separating training, validation, and testing data<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">AWS describes data processing as a distinct phase that supports later model development, deployment, and monitoring. Its machine learning lifecycle also shows that monitoring can send teams back to data preparation when new issues appear.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Projects move faster when the business already has organised and well-managed data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_3_Selecting_the_AI_Model_and_Technical_Approach\"><\/span><strong>Step 3: Selecting the AI Model and Technical Approach<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 1\u20133 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">After reviewing the problem and data, the team decides which AI approach is most suitable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project may use an existing language model, a custom machine learning model, computer vision, predictive analytics, natural language processing, or a combination of technologies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team must also decide whether the model will run through an external API, within a private cloud environment, or on the company\u2019s own infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The decision should consider output quality, response time, data sensitivity, expected usage, infrastructure requirements, and ongoing cost.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An experienced <strong>AI development agency<\/strong> will not automatically recommend building a model from the beginning. Using an established model can significantly reduce development time when it already performs the required task effectively.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Custom training or fine-tuning may increase the timeline because the team needs suitable training data, experimentation, evaluation, and additional infrastructure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_4_Building_a_Proof_of_Concept\"><\/span><strong>Step 4: Building a Proof of Concept<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 2\u20136 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A proof of concept tests whether the most important technical assumption is realistic.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is not a complete product. It may use limited data, a simple interface, and only one central workflow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a company planning an invoice-processing system may test whether AI can extract the required fields from representative documents. A business building an internal assistant may test whether it can retrieve correct information from approved files.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The proof of concept helps answer questions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Can the AI complete the main task?<\/li>\n\n\n\n<li>Is the available data sufficient?<\/li>\n\n\n\n<li>What level of accuracy is achievable?<\/li>\n\n\n\n<li>What are the most common failure cases?<\/li>\n\n\n\n<li>Is the expected response time acceptable?<\/li>\n\n\n\n<li>Does the potential value justify full development?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A focused proof of concept can save months of unnecessary work by exposing weak assumptions early.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_5_Product_Design_and_Technical_Architecture\"><\/span><strong>Step 5: Product Design and Technical Architecture<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 2\u20134 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once the idea is validated, the team plans the complete product.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Product designers define how users will interact with the AI. They may create wireframes for a dashboard, chatbot, mobile interface, review screen, or internal portal.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Technical specialists plan the model, application backend, databases, APIs, infrastructure, permissions, logging, and system integrations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The architecture must also account for errors. The product should explain what happens when the AI cannot find reliable information, an integration is unavailable, or human review is required.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google Cloud notes that a production machine learning system includes far more than model code. Data collection, verification, testing, infrastructure, serving, automation, and monitoring are also required.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is why a working model demonstration can be developed quickly while a dependable business product requires more time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_6_Application_Development_and_Integration\"><\/span><strong>Step 6: Application Development and Integration<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 4\u201312 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is usually the longest active development stage.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Developers build the user interface, backend services, data pipelines, APIs, model workflows, access controls, and required software integrations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The AI may need to connect with CRM software, ERP platforms, websites, document systems, support tools, databases, or mobile applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Integration time depends heavily on the systems involved. Modern platforms with clear APIs are generally easier to connect than older software with limited documentation or inconsistent data formats.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Development is normally completed in smaller releases. Stakeholders review working features, provide feedback, and clarify requirements throughout the process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regular reviews reduce the risk of building a technically correct product that does not fit the real business workflow.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_7_Testing_and_Evaluation\"><\/span><strong>Step 7: Testing and Evaluation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 2\u20136 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI systems require both software testing and model evaluation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team tests whether the interface, integrations, permissions, and infrastructure work correctly. It also examines whether the AI produces useful results across normal requests, difficult examples, incomplete information, and unexpected inputs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Testing may cover:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Output or prediction quality<\/li>\n\n\n\n<li>Source accuracy<\/li>\n\n\n\n<li>Response consistency<\/li>\n\n\n\n<li>Security and user permissions<\/li>\n\n\n\n<li>Processing speed<\/li>\n\n\n\n<li>Integration failures<\/li>\n\n\n\n<li>Sensitive information exposure<\/li>\n\n\n\n<li>Human escalation<\/li>\n\n\n\n<li>Performance under higher usage<\/li>\n\n\n\n<li>Operating costs<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The testing period increases when the system supports sensitive or high-impact decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Problems found during evaluation may also send the project back to data preparation, model configuration, interface design, or workflow development. Machine learning lifecycle guidance from AWS and Microsoft treats evaluation, deployment, monitoring, and improvement as connected activities rather than a one-way sequence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_8_Deployment_and_User_Training\"><\/span><strong>Step 8: Deployment and User Training<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Estimated time: 1\u20134 weeks<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Deployment moves the approved solution into the real business environment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team configures production infrastructure, transfers approved data, verifies integrations, establishes monitoring, and prepares support procedures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many businesses begin with a controlled rollout. The system may first be provided to one department, location, customer group, or selected set of employees.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This reduces risk and gives the team an opportunity to identify problems before wider release.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Users may also require training. They should understand what the AI can do, what it cannot do, when outputs should be reviewed, and how problems can be reported.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A production launch should not happen until technical ownership, user support, incident handling, and maintenance responsibilities are clear.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Step_9_Monitoring_and_Continuous_Improvement\"><\/span><strong>Step 9: Monitoring and Continuous Improvement<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Timeline: Ongoing after deployment<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI development does not finish when the product goes live.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The business must continue monitoring output quality, user adoption, system availability, model usage, integration performance, security events, and operating costs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">New data, changing customer behaviour, updated business policies, and software changes can affect performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google Cloud\u2019s MLOps guidance includes monitoring, model validation, pipeline automation, and repeated experimentation as parts of operating AI systems in production.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Post-launch improvements may involve updating knowledge sources, revising prompts, retraining a model, adjusting permissions, improving the interface, or replacing an external service.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A reliable <strong>AI development agency<\/strong> should define what post-launch support is included and which responsibilities will move to the business\u2019s internal team.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Can_Delay_an_AI_Development_Project\"><\/span><strong>What Can Delay an AI Development Project?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Unplanned delays usually come from unclear business decisions rather than coding alone.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Common causes include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Changing the project scope during development<\/li>\n\n\n\n<li>Discovering that important data is missing<\/li>\n\n\n\n<li>Waiting for access to internal systems<\/li>\n\n\n\n<li>Slow stakeholder feedback or approvals<\/li>\n\n\n\n<li>Difficult integrations with older software<\/li>\n\n\n\n<li>New security or compliance requirements<\/li>\n\n\n\n<li>Unrealistic model-accuracy expectations<\/li>\n\n\n\n<li>Inadequate testing examples<\/li>\n\n\n\n<li>Additional features added before the first release<\/li>\n\n\n\n<li>Unclear ownership between business and technical teams<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Businesses can reduce delays by appointing one project owner, involving users early, preparing data before development, and approving a focused first release.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Final_Thoughts\"><\/span><strong>Final Thoughts<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A focused AI proof of concept may take four to eight weeks, while a usable MVP commonly requires two to four months. A secure, integrated, production-ready system may need four to nine months, and a complex enterprise platform can require a year or longer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These are planning ranges, not guaranteed delivery periods.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The final timeline depends on the clarity of the problem, quality of the data, number of integrations, model complexity, testing requirements, and speed of stakeholder decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Professional <strong><a href=\"https:\/\/www.originux.com\/\" type=\"link\" id=\"https:\/\/www.originux.com\/\">AI development services<\/a><\/strong> should divide the project into clear stages and explain the assumptions behind each estimate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The right <strong>AI development company<\/strong> will not promise an unrealistically fast launch. It will identify technical and operational risks before they create expensive delays.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A capable <strong>AI development agency<\/strong> will also recommend beginning with the smallest useful version, testing it with real users, and expanding only after the solution proves its value.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI development can take anywhere from a few weeks for a focused prototype to more than a year for a complex enterprise platform. The timeline depends on the business problem, available data, model requirements, software integrations, security needs, and number of people who will use the solution. A simple assistant connected to a small set&hellip; <a class=\"more-link\" href=\"https:\/\/www.originux.com\/resources\/blog\/how-long-does-ai-development-take-a-step-by-step-timeline\/\">Continue reading <span class=\"screen-reader-text\">How Long Does AI Development Take? A Step-by-Step Timeline<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5909","post","type-post","status-publish","format-standard","hentry","category-blog","entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Long Does AI Development Take? 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