{"id":596359,"date":"2025-09-30T04:50:14","date_gmt":"2025-09-30T11:50:14","guid":{"rendered":"https:\/\/www.genesys.com\/?post_type=blog&p=596359"},"modified":"2025-10-09T06:18:22","modified_gmt":"2025-10-09T13:18:22","slug":"reinventing-the-operating-model-for-ai-powered-customer-experience","status":"publish","type":"blog","link":"https:\/\/www.genesys.com\/en-gb\/blog\/post\/reinventing-the-operating-model-for-ai-powered-customer-experience","title":{"rendered":"Reinventing the Operating Model for AI-Powered Customer Experience"},"content":{"rendered":"

[vc_section full_width=”stretch_row”][vc_row][vc_column][vc_column_text css=””]Adopting AI in customer experience requires more than technology \u2014 it demands a reimagining of the entire operating model. Organisations are now recognising the need to restructure teams, recruit new people, re-train existing employees, and pivot from a traditional contact centre approach to an experience economy model<\/strong><\/a> that creates emotional and measurable value.<\/p>\n

For years, the traditional contact centre model has been designed for cost-efficiency. Customers call, agents respond, leaders track metrics like average handle time, and success is measured by how quickly and cheaply issues are resolved.<\/p>\n

But today\u2019s customers are different. They expect personalised, proactive, and frictionless experiences. They don\u2019t want to wait in queues or repeat themselves across channels. They want organisations to know them<\/em> and anticipate their needs<\/em>. That shift is why AI isn\u2019t just an add-on technology \u2014 it\u2019s a catalyst for transforming the way businesses operate.<\/p>\n

To thrive, organisations must pivot their operating model<\/strong> to embrace the experience economy<\/strong><\/a>. This means:<\/p>\n

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  1. Restructuring teams:<\/strong> Traditional tiered agent models are giving way to hybrid teams where human empathy meets AI precision. That may mean embedding data scientists, conversational AI specialists, and experience designers alongside frontline staff. It also means breaking down silos so marketing, service, and operations collaborate around a shared view of the customer.<\/li>\n
  2. Upskilling employees:<\/strong> AI is not necessarily a threat to human roles \u2014 but it certainly is a multiplier of human potential. Agents need to be trained to use AI-generated insights, freeing them to focus on empathy, complex problem-solving, and brand building. The workforce of the future won\u2019t just handle cases \u2014 it will curate experiences. In addition, operational teams behind the scenes need to adjust and will leverage AI to drive additional value and efficiencies.<\/li>\n
  3. Redefining roles:<\/strong> AI handles repetitive tasks and surfaces insights in real time, while people bring emotional intelligence and creativity. Organisations must rethink job descriptions and career pathways to reflect this new partnership.<\/li>\n<\/ol>\n

    The operating model must also shift from being transactional<\/strong> to transformational<\/strong>. That means viewing each customer interaction not as a cost to minimise, but as an opportunity to deepen loyalty and increase lifetime value.<\/p>\n

    Benefits of adopting change:<\/strong><\/p>\n