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    <title>CX without the BS - Episodes Tagged with “Ai Fails Customer Support”</title>
    <link>https://cswithoutthebs.fireside.fm/tags/ai%20fails%20customer%20support</link>
    <pubDate>Tue, 08 Jul 2025 15:00:00 -0400</pubDate>
    <description>Most CX podcasts are built for Fortune 500 buyers with seven-figure budgets and dedicated transformation teams... This one isn't. CX Without the BS is for the technology advisors, IT leaders, and business owners working in the trenches of SMB and mid-market companies - the "forgotten 5000" who get pitched enterprise solutions they can't afford and ignored by vendors who don't think they're worth the support call. Host Brian Nichols brings real practitioner perspective from the unified communications and contact center space. No guru theater. No vendor hype. No recycled LinkedIn thought leadership dressed up as expertise. Just the actual conversations advisors and buyers need to be having... about why CX deployments fail, where vendors quietly cut corners, which product categories are oversold, and what questions you should be asking before you sign a three-year contract. Each episode pulls from real customer scenarios, market situations, and the framework laid out in Brian's book, The CX Compass. Some episodes are solo deep dives. Others bring in practitioners, advisors, and operators who can break down the mechanics of what actually works - and what's quietly broken behind the demo. If you're tired of buzzword bingo and ready for the version of CX nobody's willing to say out loud... you're in the right place. Subscribe, share it with an advisor or buyer who needs it, and let's cut through the noise together.</description>
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    <itunes:subtitle>Honest takes on customer experience and UCaaS for the SMB and mid-market buyers enterprise vendors forgot... hosted by Brian Nichols.</itunes:subtitle>
    <itunes:author>Brian Nichols</itunes:author>
    <itunes:summary>Most CX podcasts are built for Fortune 500 buyers with seven-figure budgets and dedicated transformation teams... This one isn't. CX Without the BS is for the technology advisors, IT leaders, and business owners working in the trenches of SMB and mid-market companies - the "forgotten 5000" who get pitched enterprise solutions they can't afford and ignored by vendors who don't think they're worth the support call. Host Brian Nichols brings real practitioner perspective from the unified communications and contact center space. No guru theater. No vendor hype. No recycled LinkedIn thought leadership dressed up as expertise. Just the actual conversations advisors and buyers need to be having... about why CX deployments fail, where vendors quietly cut corners, which product categories are oversold, and what questions you should be asking before you sign a three-year contract. Each episode pulls from real customer scenarios, market situations, and the framework laid out in Brian's book, The CX Compass. Some episodes are solo deep dives. Others bring in practitioners, advisors, and operators who can break down the mechanics of what actually works - and what's quietly broken behind the demo. If you're tired of buzzword bingo and ready for the version of CX nobody's willing to say out loud... you're in the right place. Subscribe, share it with an advisor or buyer who needs it, and let's cut through the noise together.</itunes:summary>
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      <itunes:name>Brian Nichols</itunes:name>
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  <title>Is AI Hurting Customer Experience?</title>
  <link>https://cswithoutthebs.fireside.fm/is-ai-hurting-customer-experience</link>
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  <pubDate>Tue, 08 Jul 2025 15:00:00 -0400</pubDate>
  <author>Brian Nichols</author>
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  <itunes:author>Brian Nichols</itunes:author>
  <itunes:subtitle>AI was supposed to make customer service easier, but it’s quietly burning out your agents and making support worse – here’s why.</itunes:subtitle>
  <itunes:duration>12:00</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
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  <description>&lt;p&gt;Is your AI assistant quietly burning out your team while pretending to be helpful?&lt;/p&gt;

&lt;p&gt;Everyone's hyped about AI in customer service - vendors say it's the future, the secret to cost savings, efficiency, and happier customers. But what if that promise is more illusion than innovation? In this episode of CX Without the BS, we tear the lid off the feel-good AI fairytales and dig into a real-world study that shows just how broken the current AI systems are in contact centers. If you've ever felt like tech is making life harder, not easier - this one’s for you.&lt;/p&gt;

&lt;p&gt;We start by exposing the myth of effortless AI transcription. It’s supposed to be simple: record the call, convert to text, boom - problem solved. But in practice, AI couldn’t keep up with accents, fast talkers, or background noise. One rep literally said they had to rewrite everything the AI tried to “help” with. That’s not support. That’s rework. And when your tools are giving you extra steps instead of eliminating them, something’s gone seriously wrong.&lt;/p&gt;

&lt;p&gt;Then we get into the emotional intelligence (or lack thereof) of AI. The study revealed AI flagged loud talkers or passionate customers as angry - even when they weren’t. Sentiment analysis became a guessing game, and agents just stopped trusting it. The result? A tool designed to help with tone instead added confusion and distraction. When your team can’t rely on what the system tells them, it’s no longer a tool - it’s a liability.&lt;/p&gt;

&lt;p&gt;That led to another major issue: bad summaries. Instead of saving time, agents were spending more of it rewriting and correcting what AI tried to produce. Repetition, filler, missing context, and sloppy details turned "AI-powered" into “AI babysitting.” And all this leads to a hidden epidemic: cognitive burnout. When agents constantly clean up after their tools, they disengage. Quiet quitting starts with loud systems that don’t work.&lt;/p&gt;

&lt;p&gt;But we don’t just highlight the problems - we share the solution. It’s not about ditching AI. It’s about using AI the right way. Hybrid models where AI supports (but doesn’t replace) human agents are where the magic actually happens. Let tech do the grunt work, and let humans do what they do best: judge, connect, and empathize. If your CX strategy isn’t human-first, then it’s not future-proof. Period. &lt;/p&gt;
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  <itunes:keywords>AI in customer service, call center AI problems, contact center burnout, CX strategy, customer support automation, hybrid AI models, AI emotional analysis, AI transcription errors, customer service tools, AI vs humans, CX technology, bad AI examples, contact center innovation, AI fails customer support, call center burnout, AI mistakes in support, real customer experience, CX without the BS</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Is your AI assistant quietly burning out your team while pretending to be helpful?</p>

<p>Everyone's hyped about AI in customer service - vendors say it's the future, the secret to cost savings, efficiency, and happier customers. But what if that promise is more illusion than innovation? In this episode of CX Without the BS, we tear the lid off the feel-good AI fairytales and dig into a real-world study that shows just how broken the current AI systems are in contact centers. If you've ever felt like tech is making life harder, not easier - this one’s for you.</p>

<p>We start by exposing the myth of effortless AI transcription. It’s supposed to be simple: record the call, convert to text, boom - problem solved. But in practice, AI couldn’t keep up with accents, fast talkers, or background noise. One rep literally said they had to rewrite everything the AI tried to “help” with. That’s not support. That’s rework. And when your tools are giving you extra steps instead of eliminating them, something’s gone seriously wrong.</p>

<p>Then we get into the emotional intelligence (or lack thereof) of AI. The study revealed AI flagged loud talkers or passionate customers as angry - even when they weren’t. Sentiment analysis became a guessing game, and agents just stopped trusting it. The result? A tool designed to help with tone instead added confusion and distraction. When your team can’t rely on what the system tells them, it’s no longer a tool - it’s a liability.</p>

<p>That led to another major issue: bad summaries. Instead of saving time, agents were spending more of it rewriting and correcting what AI tried to produce. Repetition, filler, missing context, and sloppy details turned "AI-powered" into “AI babysitting.” And all this leads to a hidden epidemic: cognitive burnout. When agents constantly clean up after their tools, they disengage. Quiet quitting starts with loud systems that don’t work.</p>

<p>But we don’t just highlight the problems - we share the solution. It’s not about ditching AI. It’s about using AI the right way. Hybrid models where AI supports (but doesn’t replace) human agents are where the magic actually happens. Let tech do the grunt work, and let humans do what they do best: judge, connect, and empathize. If your CX strategy isn’t human-first, then it’s not future-proof. Period.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Is your AI assistant quietly burning out your team while pretending to be helpful?</p>

<p>Everyone's hyped about AI in customer service - vendors say it's the future, the secret to cost savings, efficiency, and happier customers. But what if that promise is more illusion than innovation? In this episode of CX Without the BS, we tear the lid off the feel-good AI fairytales and dig into a real-world study that shows just how broken the current AI systems are in contact centers. If you've ever felt like tech is making life harder, not easier - this one’s for you.</p>

<p>We start by exposing the myth of effortless AI transcription. It’s supposed to be simple: record the call, convert to text, boom - problem solved. But in practice, AI couldn’t keep up with accents, fast talkers, or background noise. One rep literally said they had to rewrite everything the AI tried to “help” with. That’s not support. That’s rework. And when your tools are giving you extra steps instead of eliminating them, something’s gone seriously wrong.</p>

<p>Then we get into the emotional intelligence (or lack thereof) of AI. The study revealed AI flagged loud talkers or passionate customers as angry - even when they weren’t. Sentiment analysis became a guessing game, and agents just stopped trusting it. The result? A tool designed to help with tone instead added confusion and distraction. When your team can’t rely on what the system tells them, it’s no longer a tool - it’s a liability.</p>

<p>That led to another major issue: bad summaries. Instead of saving time, agents were spending more of it rewriting and correcting what AI tried to produce. Repetition, filler, missing context, and sloppy details turned "AI-powered" into “AI babysitting.” And all this leads to a hidden epidemic: cognitive burnout. When agents constantly clean up after their tools, they disengage. Quiet quitting starts with loud systems that don’t work.</p>

<p>But we don’t just highlight the problems - we share the solution. It’s not about ditching AI. It’s about using AI the right way. Hybrid models where AI supports (but doesn’t replace) human agents are where the magic actually happens. Let tech do the grunt work, and let humans do what they do best: judge, connect, and empathize. If your CX strategy isn’t human-first, then it’s not future-proof. Period.</p>]]>
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