{"id":1427,"date":"2026-06-25T06:59:36","date_gmt":"2026-06-25T06:59:36","guid":{"rendered":"https:\/\/stage.sharkscode.com\/akulyna-v-dou-yak-ai-agent-stav-serczem-hr-proczesiv-sharkscode\/"},"modified":"2026-08-05T13:55:55","modified_gmt":"2026-08-05T13:55:55","slug":"akulyna-v-dou-yak-ai-agent-stav-serczem-hr-proczesiv-sharkscode","status":"publish","type":"post","link":"https:\/\/sharkscode.com\/en\/akulyna-v-dou-yak-ai-agent-stav-serczem-hr-proczesiv-sharkscode\/","title":{"rendered":"\u201cAkulina\u201d at DOU: How an AI Agent Became the Heart of SharksCode&#8217;s HR Processes"},"content":{"rendered":"<p>On the DOU platform, SharksCode\u2019s CTO published a case study on the implementation of the AI agent \u201cAkulina,\u201d which automated the bulk of onboarding and routine HR requests.<\/p>\n<p>In the <a href=\"https:\/\/dou.ua\/forums\/topic\/58321\/\">article<\/a> \u201cHow We Implemented an AI Agent in HR: Architecture, RAG, and Onboarding Automation,\u201d our experts explained how they transitioned from a traditional chatbot to two AI agents: an onboarding agent and the internal HR consultant \u201cAkulina.\u201d She answers typical questions from new hires, processes vacation requests, freeing the HR team from routine tasks and allowing them to focus on strategic priorities.<\/p>\n<p>A key element was the RAG architecture, featuring a consolidated corporate knowledge base indexed in a vector store, as well as integrations with the HRIS, payroll system, calendar, and Jira. According to the CTO, \u201cAkulina\u201d already handles at least 45% of onboarding, cuts the onboarding time in half, reduces HR operating costs by 30\u201340%, and increases employee retention.<\/p>\n<p>\u201cAn AI agent shouldn\u2019t be just \u2018window dressing for a presentation\u2019; it should drive real-world metrics. For us, Akulina is about retention, about accelerating new hires\u2019 transition to full productivity, and about how we remove routine tasks from processes, freeing people up for more important work,\u201d comments Stanislav Andreev, COO of SharksCode.<br \/>\nBy 2026, SharksCode aims to establish itself as a technology leader where AI becomes a core tool not only in products but also in HR processes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On the DOU platform, SharksCode\u2019s CTO published a case study on the implementation of the AI agent \u201cAkulina,\u201d which automated the bulk of onboarding and routine HR requests. In the article \u201cHow We Implemented an AI Agent in HR: Architecture, RAG, and Onboarding Automation,\u201d our experts explained how they transitioned from a traditional chatbot to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1428,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[41],"tags":[],"class_list":["post-1427","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>SharksCode on DOU: How an AI Agent Automates HR Processes<\/title>\n<meta name=\"description\" content=\"SharksCode has launched \u201cAkulina,\u201d an AI agent that automates onboarding and HR requests and boosts team efficiency.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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