One company has approved a pilot of an AI agent that previously only answered questions. Now it sends emails to customers, adjusts inventory, or approves minor payments without anyone checking it line by line. The question asked in the room was the same as always: \u00abDoes it work?\u00bb The question no one asked was: \u00abIf it makes a mistake, who answers?\u00bb<\/p>\n\n\n\n
That change in size is the one that almost no company has adjusted in their governance. Until recently, AI reported: it generated a report, a recommendation, a draft, and a person decided what to do with it. An agent acts: it directly executes the action on a real system. The question no longer becomes \u00abwhat does the report say?\u00bb but \u00abwho is responsible for what the agent did?\u00bb<\/p>\n\n\n\n
Almost nine out of ten companies already use AI in some form. Only between 5% and 6% achieve a significant impact on their financial results (McKinsey, The State of AI<\/em> 2026). In Mexico, active adoption increased from 17% to 26% in a quarter, and only 7% report a consolidated return on those investments (KPMG, Global AI Pulse<\/em> Q2 2026). The gap is not whether AI is used. It is whether someone can support with data that that AI generated value \u2014 and that someone is accountable for their decisions.<\/p>\n\n\n\n When an AI pilot does not reach production, the explanation is almost never technical. Of every 33 proof-of-concept tests, only 4 reach production (IDC with Lenovo, 2025). The causes that recur most often are management-related: a poorly defined problem from the business, data that was not ready, costs that no one anticipated, and above all, risk without governance\u2014in Mexico, 38% of the companies have no mechanism to assess the risk of their AI projects, and another 38% do so minimally and reactively (KPMG, Panorama of AI in Mexico and Central America<\/em> 2025).<\/p>\n\n\n\n Without a government, two things happen: never an intermediate step: the pilot freezes up out of fear of escalating it, or they scale down without anyone having decided who answers if it fails. Neither of these is risk management. It is the absence of it.<\/p>\n\n\n\n There is a decision that should be made before approving any agent, and it is almost never mentioned: Does this project add AI to an existing process, or redesigns the process from AI? It is not the same thing. Adding AI to what you already do\u2014AI Augmented\u2014is faster to approve, easier to revert, and that is where any company that does not yet have stable AI systems in production should start. Redesigning an entire process from AI\u2014AI Native\u2014is a greater undertaking, and is reserved for when several systems are already operating with confidence.<\/p>\n\n\n\n Most of the advice I\u2019ve seen agents adopt doesn\u2019t distinguish between the two. They approve of the \u00abAI project\u00bb with the same brush, without asking how reversible it is, or who operates it after launch.<\/p>\n\n\n\n Companies that achieve that 5-6% of significant impact do not have better models. They have a method: committed executive leadership from the beginning (almost 100% of the high-performing leaders versus 8% of the underperformers, according to BCG), shared governance between business and IT, and above all, nothing is built without first demonstrating value. At Scanda, we call this a PoV Gate: each initiative is evaluated in three dimensions \u2014 technical, business, and operational \u2014 before being built, and receives a verdict of GO, CONDITIONAL, or NO GO.<\/p>\n\n\n\n That evaluation is exactly the moment when the decision is made who answers. Not after the agent is already acting on actual data \u2014 before.<\/p>\n\n\n\n No system should be designed so that the ultimate authority is not human. AI can propose, execute, and scale faster than any team; the responsibility for decision-making and response to the customer or the board remains with a person. Government does not exist to stop that \u2014 it exists so that progress can be made quickly, knowing, before building anything, who is responsible if something goes wrong.<\/p>\n\n\n\n Before approving the next agent in your company, the question isn\u2019t whether it works. It\u2019s whether you\u2019ve already decided who answers when they decide to do it alone. A AI Value Discovery solves exactly that in two weeks: a map of AI opportunities with a GO, CONDITIONAL, or NO GO verdict, before committing budget. Schedule yours \u2192<\/a><\/p>","protected":false},"excerpt":{"rendered":" Un consejo aprueba un piloto de un agente de IA que antes solo contestaba preguntas. Ahora manda correos a clientes, ajusta inventario o aprueba pagos menores sin que nadie lo revise l\u00ednea por l\u00ednea. La pregunta que se hizo en la sala fue la misma de siempre: \u00ab\u00bffunciona?\u00bb. La que nadie hizo fue: \u00absi se […]<\/p>\n","protected":false},"author":3,"featured_media":345117,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-345116","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/posts\/345116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/comments?post=345116"}],"version-history":[{"count":1,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/posts\/345116\/revisions"}],"predecessor-version":[{"id":345118,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/posts\/345116\/revisions\/345118"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/media\/345117"}],"wp:attachment":[{"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/media?parent=345116"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/categories?post=345116"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scanda.com.mx\/en\/wp-json\/wp\/v2\/tags?post=345116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}The cause is not the algorithm<\/strong><\/h2>\n\n\n\n
The distinction that is lacking in most councils<\/strong><\/h2>\n\n\n\n
What makes companies that do capture value different<\/strong><\/h2>\n\n\n\n
What doesn't change<\/strong><\/h3>\n\n\n\n
Next step<\/strong><\/h3>\n\n\n\n