Edition #20 - AI Doesn’t Fix Your Operation. It Exposes It.

AI is not a magic layer you sprinkle on top of chaos. It’s a mirror.

By Mykel Salomon · 2026-03-13

<h3>🔓 Opening Reflection</h3>AI is not a magic layer you sprinkle on top of chaos.It’s a mirror.And when you deploy it, it reflects everything you’ve been avoiding: broken processes, undocumented knowledge, inconsistent decisions, weak handoffs, unclear ownership.AI doesn’t create the mess. It makes the mess visible. Fast.To your customers. To your agents. To your leadership team.And in an era where trust is fragile and expectations are instant, “visible mess” is expensive.<hr><h3>🔦 Signal of the Week</h3>AI is accelerating expectations in customer support. Customers increasingly expect faster answers, consistent resolution, and fewer handoffs. But when AI is deployed on top of weak foundations, the results are predictable:<ul><li>hallucinated answers that sound confident but are wrong</li><li>inconsistent policy interpretation across channels</li><li>escalations triggered too late or not at all</li><li>knowledge gaps exposed at scale</li><li>agents fighting the tool instead of being amplified by it</li></ul>The harsh truth is this:AI will not elevate your support maturity. It will reveal your current maturity level.And if you are not ready, your customers will be the first to know.<hr><h3>🌍 In the Wild</h3>Here’s what this looks like in real support operations:<h3>1) AI bots without a real knowledge system</h3>If your knowledge base is outdated, fragmented, or tribal, your bot becomes a confident liar. Not because it’s evil. Because it has nothing reliable to ground itself.AI needs structure. And most teams confuse “having articles” with “having knowledge.”<h3>2) Broken workflows become customer-facing</h3>If routing rules are unclear, if ownership is fuzzy, if tiering is inconsistent, AI doesn’t solve it. It accelerates it.Customers feel it as: “Why am I being bounced?” “Why do I have to repeat myself?” “Why did the bot promise something the agent can’t do?”<h3>3) Managers who can’t go deeper become bottlenecks</h3>In the AI era, middle managers can’t stay at the level of “soft leadership” only.Because when systems break, you need leaders who can:<ul><li>understand how the workflow actually executes</li><li>see the data, not just the dashboard</li><li>diagnose failure modes</li><li>redesign the loop</li></ul>The future manager is a systems thinker, not a meeting scheduler.<h3>4) Support is becoming Customer Engineering</h3>The game is shifting.Support is no longer only about ticket closure. It’s about engineering customer outcomes across humans, AI, and systems.That means designing:<ul><li>how knowledge flows</li><li>how decisions get made</li><li>how escalations work</li><li>how humans override AI</li><li>how trust is rebuilt when something fails</li></ul>Support teams will increasingly operate like “Customer Engineering” units, shaping outcomes, not just responding to problems.<hr><h3>💬 The Big Question</h3>If you turned AI on tomorrow, what would it expose first in your operation?<ul><li>broken knowledge</li><li>broken workflow</li><li>broken ownership</li><li>broken training</li><li>broken measurement</li><li>broken leadership clarity</li></ul>Because that’s where you start.<hr><h3>🧠 A Small Exercise</h3>Take 15 minutes with your team and answer these five questions. Write the answers down.<ol><li>Where is our knowledge stored today? And who owns keeping it accurate?</li><li>What are our top 10 ticket types? Do we have clear, approved resolution paths for each?</li><li>What does AI have permission to do? And what must always be human owned?</li><li>Where do customers lose trust today? Handoffs? Wait times? Inconsistency? Confusing policy?</li><li>What is one system we must fix before we automate anything? Pick one. Fix it. Then scale.</li></ol>This is how you avoid AI turning into a public failure.<hr><h3>🎙️ This Week’s Episode</h3>Episode: The AI Paradox: What AI Reveals About Us Guest: <a target="_blank" rel="noopener noreferrer nofollow" class="text-[#4FD1C5] underline hover:opacity-80 ember-view" href="https://www.linkedin.com/in/tybryantgivens/">⭐Ty Givens, MBA</a> | <a target="_blank" rel="noopener noreferrer nofollow" class="text-[#4FD1C5] underline hover:opacity-80 wDlbROvPpLMKbEuknIpESSCWeahEecoPlSmcsM " href="https://www.linkedin.com/company/thecxcollective/">CX Collective</a>This conversation explores what AI really reveals inside support and customer operations: messy processes, missing knowledge infrastructure, and leadership gaps that get exposed the moment automation touches the customer experience.We talk about:<ul><li>Why AI doesn’t fix chaos, it accelerates it</li><li>How weak knowledge systems create confident wrong answers</li><li>Why managers must become more technical and systems-aware</li><li>How support is evolving into Customer Engineering</li><li>Why AI must be treated as infrastructure, not a tool</li><li>The real limitations and costs of AI in operations</li></ul>This episode is a reminder that AI readiness is not about buying tools. It’s about building foundations.🎧 Available on: <a target="_self" rel="noopener noreferrer nofollow" class="text-[#4FD1C5] underline hover:opacity-80 wDlbROvPpLMKbEuknIpESSCWeahEecoPlSmcsM " href="https://open.spotify.com/episode/4zxZ3FFw4vMvyEZJbe0fUC?si=tFW2WGy7TwOuv7Eh12PsyQ">Spotify</a> | <a target="_self" rel="noopener noreferrer nofollow" class="text-[#4FD1C5] underline hover:opacity-80 wDlbROvPpLMKbEuknIpESSCWeahEecoPlSmcsM " href="https://podcasts.apple.com/us/podcast/s2e10-the-ai-paradox-what-ai-reveals-about-us-w-ty-givens/id1843402023?i=1000754634961">Apple Podcasts</a> | <a target="_self" rel="noopener noreferrer nofollow" class="text-[#4FD1C5] underline hover:opacity-80 wDlbROvPpLMKbEuknIpESSCWeahEecoPlSmcsM " href="https://youtu.be/SSm_qPbFScU?si=yQTUd96Ep5hRDIwo">YouTube</a><img class="max-w-full h-auto rounded-md my-4" src="https://media.licdn.com/dms/image/v2/D4E12AQHUO_YVGRuEUQ/article-inline_image-shrink_1000_1488/B4EZznYf1uG8AQ-/0/1773408485186?e=1775088000&v=beta&t=1XqRxcCgy_zryQfp9m4gMha_3qE6IY-yQib4SQWAczY" alt="Article content"><hr><h3>🧭 Thought to End the Week</h3>AI will amplify whatever you already are.If your operation is clear, it becomes faster. If it’s messy, it becomes loud.So before you automate anything, ask yourself:Are we building a system worth scaling?— Mykel