{"id":3309,"date":"2025-07-22T08:31:26","date_gmt":"2025-07-22T07:31:26","guid":{"rendered":"https:\/\/pre-prod.horrea.fr\/?page_id=3309"},"modified":"2025-07-24T13:53:45","modified_gmt":"2025-07-24T12:53:45","slug":"ai-product-agent-factory","status":"publish","type":"page","link":"https:\/\/www.horrea.fr\/en\/ai-product-agent-factory\/","title":{"rendered":"AI Product & Agent Factory"},"content":{"rendered":"\n
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\u201cFutur of commerce is AI Agent. SAAS is the past\u201d<\/h2>\n <\/div>\n
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\n – Satya Nadella, CEO of Microsoft

The future of commerce is powered by AI agents. In 2025, e-commerce interfaces are being redefined\u2014personalized, intelligent, and data-driven. Brands can no longer rely on standard tools\u2014they must build their own AI products, tailored to their experience, business model, and tech stack. <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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\n 65 <\/div>\n
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\n of applications used in business will integrate an AI agent by 2026. <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n \n \n <\/div>\n <\/div>\n\t<\/div>\n<\/div>\n\n\n
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\n What we do :

1. Define AI use cases aligned with your maturity <\/H2>\n <\/div>\n

\n \n For brands looking to generate targeted value with AI: \r\n\u2013 Analysis of your existing journeys and available data \r\n\u2013 Identification of high-impact use cases (productivity, conversion, insight) \r\n\u2013 Prioritized mapping based on effort\/value <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n 2. Rapid MVP development <\/H2>\n <\/div>\n
\n \n A 3-sprint method to build, test, and project real-world impact. <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Scoping<\/h3>\n <\/div>\n <\/div>\n
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\n Define the need, expected outputs, available data, and the type of agent to build (assistant, generative, co-pilot, etc.)
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Functional POC<\/h3>\n <\/div>\n <\/div>\n
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\n Rapid development: UX, prompts, APIs, integration with your environments (CMS, CRM, DAM\u2026)
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Evaluation & roadmap<\/h3>\n <\/div>\n <\/div>\n
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\n User testing, business impact assessment, scalability, data security, and industrialization scenarios
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Deliverable<\/h3>\n <\/div>\n <\/div>\n
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\n Functional MVP + industrialization roadmap
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\n \"Aperol\"\n <\/div>\n <\/div>\n<\/div> <\/div>\n
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\n Why choose Horrea ? <\/h2>\n \n
\n Why choose Horrea<\/span> ? <\/div>\n <\/div>\n \n <\/div>\n \n
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A unique blend of AI, product, and digital commerce<\/h3>\n <\/div>\n \n
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\n We align product vision, e-commerce performance, and real-world AI implementation. <\/div>\n <\/div>\n <\/div>\n\n \n <\/div>\n<\/div> \n
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No one-size-fits-all\u2014only custom solutions<\/h3>\n <\/div>\n \n
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\n Each agent or AI product is designed for your stack, your data, and your business logic. No generic tools. No gimmicks. <\/div>\n <\/div>\n <\/div>\n\n \n <\/div>\n<\/div> \n
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A structured approach built to scale<\/h3>\n <\/div>\n \n
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\n Thanks to our proprietary LEAD\u00ae methodology, we accelerate your time to action while building a solid, scalable foundation. <\/div>\n <\/div>\n <\/div>\n\n \n <\/div>\n<\/div> <\/div>\n <\/div>\n <\/div>\n\t<\/div>\n<\/div>\n\n\n
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\n Any questions? <\/H2>\n <\/div>\n <\/div>\n
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\n What\u2019s the difference between an AI agent and an AI application? <\/div>\n
\n \n \n <\/svg>\n <\/div>\n <\/div>\n
\n An AI agent is an intelligent interface that operates autonomously or semi-autonomously (e.g., a CRM assistant). An AI application is typically a more structured tool or interface. We can build both, depending on your goals. <\/div>\n <\/div>\n \n \n
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\n Do you use my data to train a model? <\/div>\n
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\n No. We use your data securely, solely to personalize outputs (via prompts, APIs, or fine-tuning if needed), without exposing it. <\/div>\n <\/div>\n \n \n
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\n Can I integrate an agent into my existing website? <\/div>\n
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\n Yes. We build agents that can be embedded directly into your environment (via iframe, API, or CMS\/CRM\/DAM connectors). <\/div>\n <\/div>\n \n \n
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\n How long does it take to build an MVP? <\/div>\n
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\n We can deliver a functional MVP in 4 to 6 weeks, depending on the complexity of use cases and data access. <\/div>\n <\/div>\n \n <\/div>\n <\/div>\n\t<\/div>\n<\/div>\n\n\n
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\n Our LEAD\u00ae methodology <\/H2>\n <\/div>\n
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\n Learn <\/h3>\n <\/div >\n
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\n Audit your journeys, data, and internal pain points <\/div>\n <\/div>\n<\/div> <\/div>\n
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\n Envision <\/h3>\n <\/div >\n
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\n Define use cases and a tailored AI vision for your business <\/div>\n <\/div>\n<\/div> <\/div>\n
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\n Arrange <\/h3>\n <\/div >\n
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\n Rapid MVP development + integration prototype <\/div>\n <\/div>\n<\/div> <\/div>\n
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\n Drive <\/h3>\n <\/div >\n
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\n Evaluation, ROI analysis, scaling roadmap & AI governance <\/div>\n <\/div>\n<\/div> <\/div>\n <\/div>\n\n
<\/div>\n <\/div>\n <\/div>\n\t<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-3309","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/pages\/3309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/comments?post=3309"}],"version-history":[{"count":10,"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/pages\/3309\/revisions"}],"predecessor-version":[{"id":3693,"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/pages\/3309\/revisions\/3693"}],"wp:attachment":[{"href":"https:\/\/www.horrea.fr\/en\/wp-json\/wp\/v2\/media?parent=3309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}