{"id":70920,"date":"2025-05-27T12:33:24","date_gmt":"2025-05-27T11:33:24","guid":{"rendered":"https:\/\/www.cxtoday.com\/?p=70920"},"modified":"2025-10-19T09:17:04","modified_gmt":"2025-10-19T08:17:04","slug":"not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru","status":"publish","type":"post","link":"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/","title":{"rendered":"Not ‘One and Done’: CX Needs Flexible, Future-Proof AI"},"content":{"rendered":"

AI innovations just keep coming, and they\u2019re impossible to ignore \u2013 promising faster service, smarter systems, and a projected $4.4 trillion boost in corporate productivity. But despite the hype, most companies are still figuring out what AI looks like in practice. According to McKinsey, while 92% of organizations plan to invest in AI within the next three years, only 1% have scaled their efforts so far, with 43% still in the pilot stage. Gartner echoes that reality, predicting over 30% of generative AI projects will be abandoned after proof of concept<\/span>.<\/span>\u00a0<\/span><\/p>\n

Martin Taylor, Co-Founder and Deputy CEO<\/span><\/b> Content Guru<\/span><\/b><\/a>, compares today\u2019s AI landscape to the early days of the Industrial Revolution. \u201cLet\u2019s say we\u2019re at about 1750, not 1900,\u201d he says. \u201cWhile we\u2019re seeing sparks of transformation, we\u2019re only in the foothills of that AI mountain range.\u201d<\/span>\u00a0<\/span><\/p>\n

At this stage, Taylor argues, businesses need a flexible, orchestration-led approach. \u201cOne size doesn\u2019t fit all,\u201d he stresses, noting that Content Guru remains vendor-agnostic, focused on <\/span>blending the best tools for each use case<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>Horizon scanning of the evolving vendor landscape is a critical part of the value CX providers bring,\u201d he adds<\/span>.<\/span>\u00a0<\/span><\/p><\/blockquote>\n

Ultimately, it\u2019s not about the AI itself \u2013 it\u2019s about helping businesses deliver smarter, more competitive customer experiences. So, what does that look like in practice? Let\u2019s take a quick look at how Content Guru is putting this into action with some of their customers.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

Driving Forward: DVLA and AI Orchestration<\/span><\/b>\u00a0<\/span><\/h2>\n

A standout example of AI orchestration in action is <\/span>Content Guru\u2019s three-year transformation of the UK\u2019s Driver and Vehicle Licensing Agency (DVLA)<\/span><\/a>, equivalent of the DMV, and one of the government\u2019s largest customer-facing bodies. Through intelligent automation and AI-powered contact operations across voice, chatbot, and digital channels, DVLA became the most improved part of government for CX, according to an independent survey<\/span>.<\/span>\u00a0<\/span><\/p>\n

Midway through the program, Content Guru proactively replaced the DVLA\u2019s natural language processing engine, driving further improvements beyond what the client had originally envisaged<\/span>.<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>We\u2019d already improved their CSAT score significantly,\u201d Taylor shares, \u201cbut we noticed a better engine had emerged, so we made the change<\/span>.\u201d<\/span>\u00a0<\/span><\/p>\n

For Taylor, it\u2019s proof of the iterative nature of AI deployment:<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>At the start of printing, the machine makers were also the publishers \u2013 but then a new class of publishers emerged,\u201d he notes. \u201cIt\u2019s the same now: the presumption is that LLM makers will dominate the industry, but history tells us otherwise<\/span>.\u201d<\/span>\u00a0<\/span><\/p><\/blockquote>\n

The future, he says, requires trusted CX guides \u2013 not just tools.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

Fast-Tracking Employment: The DWP\u2019s Restart Program<\/span><\/b>\u00a0<\/span><\/h2>\n

Content Guru partnered with the UK\u2019s Department for Work and Pensions to overhaul its Restart program, which supports unemployed individuals in finding work. Previously, the process of building a CV with a job coach involved lengthy back-and-forth. Now, AI generates a resume instantly from a single interview, allowing candidates to start being matched with positions on the spot<\/span>.<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>That\u2019s taken <\/span>weeks<\/span><\/i> out of the process,\u201d says Taylor, \u201cand those weeks matter when someone\u2019s relying on UK unemployment benefit.”<\/span>\u00a0<\/span><\/p><\/blockquote>\n

Beyond the improvement for service users, job coaches also report a major quality-of-life upgrade. With AI handling admin, they can focus on having richer, more natural conversations<\/span>.<\/span>\u00a0<\/span><\/p>\n

\u201cIt\u2019s entirely transformed their job satisfaction,\u201d he shares.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

Breaking Language Barriers with a Multi-Engine Approach<\/span><\/b>\u00a0<\/span><\/h2>\n

While real-time AI-powered translation shows lots of promise, doing it at scale across multiple languages remains a challenge. Content Guru, however, is already tackling it: in their ongoing work with government customers, they build multi-engine environments tailored to diverse linguistic needs<\/span>.<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>Usually, no single language dominates more than 15% of user interactions,\u201d Taylor says.\u00a0<\/span>\u00a0<\/span><\/p>\n

\u201cWe’re dealing with eight to nine core languages, sometimes with major dialect differences, and many are still poorly supported by mainstream AI engines.”<\/span>\u00a0<\/span><\/p><\/blockquote>\n

Rather than rely on a single model, Content Guru matches the right engines to the right tasks. While human translation still plays a role, AI is gradually helping to bridge the gap \u2013 especially for speakers of underserved languages<\/span>.<\/span>\u00a0<\/span><\/p>\n

\u201cIronically, it\u2019s the people least supported by tech who need these services most,\u201d he adds.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

Staying Ahead in the AI Race<\/span><\/b>\u00a0<\/span><\/h2>\n

“Having the omni-data, the various channels of communication gathered together in an already-optimized environment, makes the CX industry the ideal place to deploy AI,” Taylor concludes.<\/span>\u00a0<\/span><\/p><\/blockquote>\n

“I think we should be proud to be in the vanguard of that change, many years ahead of other fields.”<\/span>\u00a0<\/span><\/p>\n

As AI continues to evolve rapidly, providers like Content Guru help businesses identify and implement the best engines to meet their goals, with the flexibility to adapt as technology, business needs, or regulations shift.<\/span>\u00a0<\/span><\/p>\n

To <\/span>learn more about Content Guru\u2019s CX solutions, visit their <\/span><\/i>website<\/span><\/i><\/a>.<\/span><\/i>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

AI innovations just keep coming, and they\u2019re impossible to ignore \u2013 promising faster service, smarter systems, and a projected $4.4 trillion boost in corporate productivity. But despite the hype, most companies are still figuring out what AI looks like in practice. According to McKinsey, while 92% of organizations plan to invest in AI within the […]<\/p>\n","protected":false},"author":4038,"featured_media":70922,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[11850,61016],"class_list":["post-70920","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-contact-center","category-customer-analytics-intelligence","tag-artificial-intelligence","tag-chatbots","tag-generative-ai","tag-natural-language-understanding","tag-public-sector","brands_to_track-content-guru","editorial_type-interview","intent-discovery","target_audience-dual"],"acf":[],"yoast_head":"\nNot 'One and Done': CX Needs Flexible, Future-Proof AI - CX Today<\/title>\n<meta name=\"description\" content=\"CX Today covers news including Artificial Intelligence, Chatbots, Generative AI, Natural Language Understanding, Public Sector and more.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Not 'One and Done': CX Needs Flexible, Future-Proof AI\" \/>\n<meta property=\"og:description\" content=\"CX Today covers news including Artificial Intelligence, Chatbots, Generative AI, Natural Language Understanding, Public Sector and more.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\" \/>\n<meta property=\"og:site_name\" content=\"CX Today\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CXTodayNews\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-27T11:33:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-19T08:17:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.cxtoday.com\/wp-content\/uploads\/2025\/05\/Not-One-and-Done-CX-Needs-Flexible-Future-Proof-AI.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"850\" \/>\n\t<meta property=\"og:image:height\" content=\"425\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Linoy Doron\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@cxtodaynews\" \/>\n<meta name=\"twitter:site\" content=\"@cxtodaynews\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Linoy Doron\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\"},\"author\":{\"name\":\"Linoy Doron\",\"@id\":\"https:\/\/www.cxtoday.com\/#\/schema\/person\/152fb69a936b9fc397adbcb623a5eec3\"},\"headline\":\"Not ‘One and Done’: CX Needs Flexible, Future-Proof AI\",\"datePublished\":\"2025-05-27T11:33:24+00:00\",\"dateModified\":\"2025-10-19T08:17:04+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\"},\"wordCount\":789,\"publisher\":{\"@id\":\"https:\/\/www.cxtoday.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.cxtoday.com\/wp-content\/uploads\/2025\/05\/Not-One-and-Done-CX-Needs-Flexible-Future-Proof-AI.jpg\",\"keywords\":[\"Artificial Intelligence\",\"Chatbots\",\"Generative AI\",\"Natural Language Understanding\",\"Public Sector\"],\"articleSection\":[\"Contact Center & Omnichannel\u200b\",\"Customer Analytics & Intelligence\"],\"inLanguage\":\"en-GB\",\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/www.cxtoday.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\",\"url\":\"https:\/\/www.cxtoday.com\/contact-center\/not-one-and-done-cx-needs-flexible-future-proof-ai-content-guru\/\",\"name\":\"Not 'One and Done': CX Needs Flexible, Future-Proof AI - 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