{"id":184944,"date":"2026-05-06T11:10:00","date_gmt":"2026-05-06T11:10:00","guid":{"rendered":"https:\/\/sinch.com\/?post_type=ai-prod-chapter&#038;p=184944"},"modified":"2026-05-13T08:29:24","modified_gmt":"2026-05-13T08:29:24","slug":"ai-production-challenges","status":"publish","type":"ai-prod-chapter","link":"https:\/\/sinch.com\/es\/ai-production-paradox\/chapter\/ai-production-challenges\/","title":{"rendered":"Production is where the real story starts"},"content":{"rendered":"    <section data-content-type=\"hub\"  class=\"section section-hub-py bg-light-subtle\" data-theme=\"dark\">\r\n        <div class=\"container\">\r\n            <div class=\"row align-items-center justify-content-center\">\r\n                <div class=\"col-md-10 justify-content-center\">\r\n\r\n                                            <div class=\"d-flex flex-column gap-3 gap-lg-4\">\r\n\r\n                                                            <div>\r\n                                    \r\n                                    <h3 class=\"h4 mb-0\">Shipping didn\u2019t solve the problem<\/h3>                                <\/div>\r\n                            \r\n                            <div class=\"content-body text-body-color\"><p>In AI customer communications, most companies have already shipped. By the end of the year, nine in ten organizations will have a live AI agent in production across one or more of their channels.<\/p><p><b>But 74% of those that have already shipped have been forced to roll back<\/b> or shut those agents down. Among organizations that describe their guardrails as fully mature, the rollback rate is 81%.<\/p><p class=\"mb-0\">All along, the market has been drawing the wrong finish line. We thought getting to production was the hard part. The data shows it isn\u2019t. Instead of solving the problem, organizations are deferring it to a moment when stakes are higher, and customer trust is on the line. <\/p><\/div>                        <\/div>\r\n                    \r\n                                            <div class=\"mt-6 mt-md-7 mt-lg-9\">\r\n                                                            <div>\r\n                                    \n\r\n    \r\n        <div class=\"row hub-data longform-spacings\">\r\n\r\n                            <div class=\"col-6 col-lg-6 my-2\">\r\n                    <div class=\"hub-data-item h-100 p-4 p-md-5 rounded-lg bg-light\" data-theme=\"dark\">\r\n                        <div class=\"h3 counter\">74%<\/div>\r\n                        <div class=\"content-body text-body-color\">\r\n                            <p class=\"mb-0\">Average rollback rate among organizations that reached production. (Sinch, 2026) <\/p>                        <\/div>\r\n                                            <\/div>\r\n                <\/div>\r\n\r\n                            <div class=\"col-6 col-lg-6 my-2\">\r\n                    <div class=\"hub-data-item h-100 p-4 p-md-5 rounded-lg bg-light\" data-theme=\"dark\">\r\n                        <div class=\"h3 counter\">81%<\/div>\r\n                        <div class=\"content-body text-body-color\">\r\n                            <p class=\"mb-0\">Rollback rate among organizations with fully mature guardrails. (Sinch, 2026) <\/p>                        <\/div>\r\n                                            <\/div>\r\n                <\/div>\r\n\r\n            \r\n        <\/div>\r\n\r\n\n\r\n                                <\/div>\r\n                            \r\n                        <\/div>\r\n\r\n                    \r\n                <\/div>\r\n            <\/div>\r\n        <\/div>\r\n    <\/section>\r\n\r\n\n\n    <section data-content-type=\"hub\"  class=\"section section-hub-py hub-altblock bg-body\" data-theme=\"dark\">\r\n        <div class=\"container\">\r\n            <div class=\"row align-items-center\">\r\n\r\n                                    <div class=\"col-md-6 col-lg-7 order-2 order-md-1 pe-md-7 pe-lg-10\">\r\n                        \n\t<div class=\"custom-video\">\r\n\t\t\t\t\t<div class=\"row g-0 justify-content-center\">\r\n\t\t\t\t<div class=\"col-lg-7\"  style=\"max-width: calc((98dvh - var(--header-scrolled-height)) * 0.5625)\">\r\n\t\t\t\t\t                    <div class=\"iframe-responsive-container lazy-video rounded-lg overflow-hidden  iframe-responsive-9x16\">\r\n                <a href=\"https:\/\/vimeo.com\/1189674739\/4cd8117dcb\" class=\"lazy-video-link\" data-lazy-video=\"1189674739?h=4cd8117dcb\" target=\"_blank\" rel=\"nofollow\" role=\"button\" data-source=\"vimeo\" data-language=\"es\" data-thumb=\"https:\/\/i.vimeocdn.com\/video\/2156468333-7d2501ffd28b27fa98c2e87733852b6c676be21579c7587c236dcbfc9883d844-d_1280?region=us\" title=\"V\u00eddeos de Sinch\">\r\n                    <div class=\"btn btn-light btn-light-social btn-play btn-play-circle\">\r\n                                                    <svg aria-hidden=\"true\" data-url=\"https:\/\/sinch.com\/wp-content\/plugins\/sinch-core\/assets\/icons\/sinch\/play.svg\"><\/svg>\r\n                                            <\/div>\r\n                    <img decoding=\"async\"  src=\"https:\/\/i.vimeocdn.com\/video\/2156468333-7d2501ffd28b27fa98c2e87733852b6c676be21579c7587c236dcbfc9883d844-d_1280?region=us\" alt=\"The AI Paradox - Daniel Morris 2\">\r\n                <\/a>\r\n            <\/div>\r\n                        <script type=\"application\/ld+json\">\r\n            {\n    \"@context\": \"http:\/\/schema.org\",\n    \"@type\": \"VideoObject\",\n    \"@id\": \"https:\/\/vimeo.com\/1189674739\/4cd8117dcb#VideoObject\",\n    \"thumbnailUrl\": \"https:\/\/i.vimeocdn.com\/video\/2156468333-7d2501ffd28b27fa98c2e87733852b6c676be21579c7587c236dcbfc9883d844-d_1280?region=us\",\n    \"embedUrl\": \"https:\/\/player.vimeo.com\/video\/1189674739?h=4cd8117dcb\",\n    \"contentUrl\": \"https:\/\/vimeo.com\/1189674739\/4cd8117dcb\",\n    \"name\": \"The AI Paradox - Daniel Morris 2\",\n    \"uploadDate\": \"2026-05-06T05:08:32+00:00\",\n    \"duration\": \"P0DT0H1M9S\"\n}        <\/script>\r\n        \t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\r\n\t\t\t<\/div>\r\n\r\n\t\r\n\n\r\n                    <\/div>\r\n                \r\n                \r\n                <div class=\"col-md-6 col-lg-5 altblo-content order-1 order-md-2 pb-4 pb-lg-0\">\r\n\r\n\r\n                    <h3 class=\"h4 mb-0\">Why rollback rate increases with mature organizations<\/h3><div class=\"content-body mb-0 mt-3 mt-lg-4\"><p>Organizations with mature governance instrumentation can see failures that less mature organizations miss entirely. Those reporting no rollbacks aren&#8217;t necessarily running cleaner AI programs. In many cases, they simply lack the monitoring to know when something goes wrong.<\/p><p class=\"mb-0\">The most likely explanation, supported by the broader data, is that <b>the programs failing at 81% &#8211; those that reported fully mature guardrails \u2013 aren&#8217;t failing because they&#8217;re poorly run.<\/b> They\u2019re failing because their improved monitoring allows them to detect issues that others can\u2019t spot. The organizations reporting no governance failures are not the benchmark. 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Hallucination or brand risk is second at 22%. Lack of auditability \u2013 the inability to diagnose what went wrong \u2013 is third at 16%.&nbsp;<\/p><p><b>These aren&#8217;t abstract risk categories<\/b>. PII exposure means a customer&#8217;s personal data surfaced in an interaction it shouldn&#8217;t have. Hallucination means an AI agent said something confidently wrong to a real customer, on a live channel, under your brand&#8217;s name. And when 16% of rollbacks can&#8217;t be fully diagnosed because there&#8217;s no audit trail, the organization is left with a failure it can&#8217;t learn from and no way to prove it&#8217;s been fixed.  <\/p><p class=\"mb-0\"><small>Sinch data (2026) reveals PII or data leakage (31%) and hallucinations (22%) are the main reasons for rolling back an AI agent.<\/small><\/p><\/div>\r\n\r\n                <\/div>\r\n            <\/div>\r\n\r\n            \r\n        <\/div>\r\n    <\/section>\r\n\r\n\n\n    <section data-content-type=\"hub\"  class=\"section section-hub-py hub-altblock bg-body\" data-theme=\"dark\">\r\n        <div class=\"container\">\r\n            <div class=\"row align-items-center\">\r\n\r\n                                    <div class=\"col-md-6 col-lg-7 order-2 order-md-1 pe-md-7 pe-lg-10\">\r\n                        \n\r\n    \r\n    \r\n    \r\n                    <div class=\"position-relative\">\r\n                <div id=\"highcharts_block_YmxvY2tfYzViMzFjMDJjMzQ0ODQ1NTIzOTJhOWQyOWI5ZDlmMDQ\"><\/div>\r\n            <\/div>\r\n        \r\n        <script>\r\n            (function() {\r\n                \/\/ Init chart\r\n                function chartInit_block_YmxvY2tfYzViMzFjMDJjMzQ0ODQ1NTIzOTJhOWQyOWI5ZDlmMDQ() {\r\n                    const chartID = \"highcharts_block_YmxvY2tfYzViMzFjMDJjMzQ0ODQ1NTIzOTJhOWQyOWI5ZDlmMDQ\";\r\n                    const chartContainer = document.getElementById(chartID);\r\n\r\n                    if (!chartContainer) return;\r\n\r\n                    \/\/ Check if chart already existns. 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altblo-content order-1 order-md-2 pb-4 pb-lg-0\">\r\n\r\n\r\n                    <h3 class=\"h4 mb-0\">Confidence is not protection<\/h3><div class=\"content-body mb-0 mt-3 mt-lg-4\"><p>90% of enterprise decision-makers describe themselves as confident in their AI agent readiness. But the moment you stack those confidence scores against operational reality, a gap opens.&nbsp;<\/p><p>Of those that rate their confidence as \u00absomewhat\u00bb or \u00abvery confident\u00bb, <b>75% have experienced at least one governance rollback.<\/b> Confidence doesn&#8217;t correlate with fewer failures. In fact, both deployment and rollback rates are broadly consistent regardless of how ready organizations feel.<\/p><p><b>Confidence is a leading indicator of ambition, not a guarantee of governance readiness.<\/b> The more useful question for any leadership team isn&#8217;t \u00abare we confident?\u00bb It&#8217;s \u00abwhat would we see if something went wrong right now, and how fast would we see it?\u00bb <\/p><p class=\"mb-0\"><small>Sinch research (2026) shows 90% of business decision-makers describe themselves as confident in their AI readiness.<\/small><\/p><\/div>\r\n\r\n                <\/div>\r\n            <\/div>\r\n\r\n            \r\n        <\/div>\r\n    <\/section>\r\n\r\n\n\n    <section data-content-type=\"hub\"  class=\"section section-hub-py hub-altblock bg-light-subtle\" data-theme=\"dark\">\r\n        <div class=\"container\">\r\n            <div class=\"row align-items-center\">\r\n\r\n                \r\n                                    <div class=\"col-md-6 col-lg-7 order-2 order-md-2 ps-md-7 ps-lg-10 text-center pb-4 pb-lg-0\">\r\n                        <img decoding=\"async\" width=\"648\" height=\"425\" src=\"https:\/\/sinch.com\/wp-content\/uploads\/2026\/05\/SI-Bento-AI-Guardrails.png\" class=\"img-fluid\" alt=\"Image for What to do with this\" sizes=\"(-webkit-min-device-pixel-ratio: 2) and (min-width: 1200px) 648px, (min-resolution: 2dppx) and (min-width: 1200px) 648px, (min-width: 1200px) 1296px, (min-width: 768px) 50vw, 100vw\" srcset=\"https:\/\/sinch.com\/wp-content\/uploads\/2026\/05\/SI-Bento-AI-Guardrails.png 1296w, https:\/\/sinch.com\/wp-content\/uploads\/2026\/05\/SI-Bento-AI-Guardrails-300x197.png 300w, https:\/\/sinch.com\/wp-content\/uploads\/2026\/05\/SI-Bento-AI-Guardrails-1024x672.png 1024w, https:\/\/sinch.com\/wp-content\/uploads\/2026\/05\/SI-Bento-AI-Guardrails-768x504.png 768w\" \/>                    <\/div>\r\n                \r\n                <div class=\"col-md-6 col-lg-5 altblo-content order-1 order-md-1 pb-4 pb-lg-0\">\r\n\r\n\r\n                    <h3 class=\"h4 mb-0\">What to do with this<\/h3><div class=\"content-body mb-0 mt-3 mt-lg-4\"><p><b>74% of organizations have had to shut down a live agent.&nbsp;<\/b><\/p><p>That rollback rate is a reason to be precise about what you&#8217;re building on and what you&#8217;ll be able to see when something goes wrong. And the uncomfortable implication of the 81% figure isn&#8217;t that mature programs are failing more \u2013 it&#8217;s that they&#8217;re able to see what less governed organizations are missing.&nbsp;<\/p><p>One question worth reflecting on: If your AI communications agent failed right now, would you know before your customers did?&nbsp;<\/p><p class=\"mb-0\">The monitoring gap is where organizations are most exposed, and where a technical issue suddenly becomes a customer trust issue. <\/p><\/div>\r\n\r\n                <\/div>\r\n            <\/div>\r\n\r\n            \r\n        <\/div>\r\n    <\/section>\r\n\r\n","protected":false},"featured_media":185075,"template":"","meta":{"_acf_changed":true},"class_list":["post-184944","ai-prod-chapter","type-ai-prod-chapter","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Customer Communications in Production: The Real Story - Sinch<\/title>\n<meta name=\"description\" content=\"74% of enterprises have rolled back AI agents in production. 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