[{"data":1,"prerenderedAt":270},["ShallowReactive",2],{"portfolio-post-ai-powered-call-analytics-platform-for-call-centers":3},[4],{"acf":5},{"colors":6,"content":8,"images":204,"seo":265},{"hero_background_color":7},"#4f31b7",{"hero_content":9,"challenges_content":68,"quote_content":79,"application_functionalities_content":80,"key_features_slider_content":95,"benefits_content":175,"contact_cta":200},{"organization_name":10,"title":11,"side_info":12,"background_image":47},"Discidius.","From MVP to Enterprise: Building Discidius into an Enterprise-Ready AI Startup Product",{"informations":13,"logo":23},[14,17,20],{"information_category":15,"information_content":16},"Industry","Contact Center",{"information_category":18,"information_content":19},"Services","AI Product Development",{"information_category":21,"information_content":22},"Country","Czech Republic, Poland",{"ID":24,"id":24,"title":25,"filename":26,"filesize":27,"url":28,"link":29,"alt":30,"author":31,"description":30,"caption":30,"name":32,"status":33,"uploaded_to":34,"date":35,"modified":35,"menu_order":36,"mime_type":37,"type":38,"subtype":39,"icon":40,"width":41,"height":42,"sizes":43},3344,"discidius. logo","discidius.-logo.png",2300,"https://api.softwarethings.pro/wp-content/uploads/2026/03/discidius.-logo.png","https://api.softwarethings.pro/index.php/portfolio/ai-powered-call-analytics-platform-for-call-centers/discidius-logo/","","1","discidius-logo","inherit",3342,"2026-03-16 15:02:33",0,"image/png","image","png","https://api.softwarethings.pro/wp-includes/images/media/default.png",177,31,{"thumbnail":44,"thumbnail-width":45,"thumbnail-height":46,"medium":28,"medium-width":41,"medium-height":42,"medium_large":28,"medium_large-width":41,"medium_large-height":42,"large":28,"large-width":41,"large-height":42},"https://api.softwarethings.pro/wp-content/uploads/2026/03/discidius.-logo-100x18.png",100,18,{"ID":48,"id":48,"title":49,"filename":50,"filesize":51,"url":52,"link":53,"alt":30,"author":31,"description":30,"caption":30,"name":49,"status":33,"uploaded_to":34,"date":54,"modified":54,"menu_order":36,"mime_type":55,"type":38,"subtype":56,"icon":40,"width":57,"height":58,"sizes":59},3345,"bg-img","bg-img.jpg",86826,"https://api.softwarethings.pro/wp-content/uploads/2026/03/bg-img.jpg","https://api.softwarethings.pro/index.php/portfolio/ai-powered-call-analytics-platform-for-call-centers/bg-img/","2026-03-16 15:03:20","image/jpeg","jpeg",1016,282,{"thumbnail":60,"thumbnail-width":45,"thumbnail-height":61,"medium":62,"medium-width":63,"medium-height":64,"medium_large":65,"medium_large-width":66,"medium_large-height":67,"large":52,"large-width":57,"large-height":58},"https://api.softwarethings.pro/wp-content/uploads/2026/03/bg-img-100x28.jpg",28,"https://api.softwarethings.pro/wp-content/uploads/2026/03/bg-img-300x83.jpg",300,83,"https://api.softwarethings.pro/wp-content/uploads/2026/03/bg-img-768x213.jpg",768,213,{"challenge":69},[70,73,76],{"title":71,"description":72},"Client ","\u003Cp>Discidius is a B2B call analytics platform built for teams that run phone-based customer support and sales. It turns call recordings into usable insights for day-to-day operations: quality work, coaching, and management decisions – without relying on manual listening.\u003C/p>\n\u003Cp>The product sits in a space where “AI” only matters if it improves real workflows. For Discidius, that means helping teams run QA consistently, train consultants based on evidence, and give managers a clear view of what happens in conversations across teams and time.\u003C/p>\n\u003Cp>\u003Cstrong>In contact centers, the value of AI is practical: it has to support daily decisions, not just produce interesting dashboards.\u003C/strong>\u003C/p>\n",{"title":74,"description":75},"Challenge","\u003Cp>The main challenge was building an AI product that works in operational reality. Discidius needed more than a technical implementation – they needed a partner who could help shape what to build, why it matters, and how it should work inside a contact center. The platform had to be useful for managers, QA teams, and training leads, not only for analysts or product demos.\u003C/p>\n\u003Cp>At the same time, Software Things joined the project in March 2023 through a takeover from a previous development vendor. The existing product leaned heavily on emotion analytics. That direction alone did not cover the operational needs Discidius wanted to address: repeatable quality standards, coaching loops, and clear guidance for teams.\u003C/p>\n\u003Cp>So the work combined two difficult tracks: stabilising and understanding the existing system, while executing a product pivot – from a narrow “emotion analytics” concept toward a broader platform designed for everyday QA, coaching, and performance management.\u003C/p>\n",{"title":77,"description":78},"Solution ","\u003Cp>We worked as a product and technology partner – not an external team added to a backlog. 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With that foundation in place, Discidius could scale the product and deliver enterprise deployments in Poland and the Czech Republic.\u003C/p>\n","They translate business requirements into effective technical solutions, and the communication stays open and transparent. – Erich Sikora, CEO, Discidius",{"title":81,"functionalities":82},"The major functionalities",[83,85,87,89,91,93],{"functionality":84},"Smart Grade call scoring (1-100) that supports repeatable QA standards across teams",{"functionality":86},"Personalised improvement suggestions that turn each reviewed call into a coaching action",{"functionality":88},"Quality assessment views designed for managers and QA teams – not only for analysts",{"functionality":90},"Conversation analysis that highlights recurring issues, objections, and questions across calls",{"functionality":92},"Training support based on real conversations, helping teams prioritise topics that actually repeat",{"functionality":94},"Alerts and monitoring for selected risks or patterns, so teams can react without listening to everything",{"title":96,"feature_slide_content":97},"Key features ",[98,116,133,147,161],{"title":99,"description":100,"featured_image":101},"Smart Grade as an operational QA standard","Smart Grade turns a call into a score and clear coaching directions. 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",{"benefit":185},"A stable foundation for continuous development, enabling predictable iteration and scaling.",{"benefit":187},"A platform ready for enterprise deployments in Poland and the Czech Republic, including larger rollout expectations.",{"benefit":189},"Stronger product clarity after the pivot – moving from emotion analytics toward measurable quality improvement.",[191,194,197],{"title":192,"description":193},"Product Partnership","decision support, priorities, trade-offs",{"title":195,"description":196},"Operational AI","QA, coaching, and manager workflows",{"title":198,"description":199},"Enterprise Readiness","rollout-ready platform for larger organisations",{"title":201,"description":202,"button_content":203},"Let's talk","If you’re building an AI product for your startup, we can help you shape it into something operational – a tool that teams will use every day, not a one-off demo.","Let's build 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Discidius is an example—priorities, build, and enterprise readiness by Software Things.","https://softwarethings.pro/portfolio/discidius/","https://api.softwarethings.pro/wp-content/uploads/2026/03/og-image.jpg",1775212097814]