Agents vs Trust

Google is pushing AI agents from demo to enterprise product just as its own AI search answers still miss at scale. (blog.google) At Google Cloud Next on April 22, 2026, Sundar Pichai said “the agentic enterprise” is the next phase for customers, and Google introduced a Gemini Enterprise Agent Platform as the centerpiece of that pitch. (blog.google) Google paired that launch with money and partners: a $750 million fund for its partner ecosystem and an expanded Accenture program to deploy specialized agents for large companies. (googlecloudpresscorner.com (googlecloudpresscorner.com) An AI agent is software that does multi-step work on a user’s behalf, like looking up data, choosing a tool, and taking an action instead of only answering a question. Google’s new sales pitch is that companies should wire those systems into customer service, finance, operations, and software workflows. (blog.google) The trust problem is easier to see in search. Google said in late 2025 that AI Overviews reached 2 billion monthly users, up from more than 1 billion in October 2024 and more than 1.5 billion in April 2025. (blog.google 1) (blog.google 2) (blog.google 3) Independent analysis this month said AI Overviews are about 90% accurate overall, but that still leaves a large error volume when the product answers queries for billions of users. Search Engine Land, citing Oumi’s analysis of 4,326 Overviews, reported accuracy rose from 85% under Gemini 2 to 91% under Gemini 3. (searchengineland.com) (seroundtable.com) At that scale, a system can be “mostly right” and still be wrong millions of times an hour. TechTimes summarized the same finding as tens of millions of misleading answers hourly, based on the volume implied by Google’s user numbers and the study’s error rate. (techtimes.com) (blog.google) That is the operating problem for companies buying agents. The hard part is not only getting a model to speak fluently, but checking whether it pulled the right source, followed the right rule, and stopped before a bad answer turned into a bad action. (blog.google) (searchengineland.com) The work falls to engineers who measure retrieval quality, test prompts against known answers, log failures, and add guardrails so an agent can ask for help or refuse a task. Google’s own rollout points the same way: more enterprise tooling, more partner services, and more emphasis on deployment controls around the model. (blog.google) (googlecloudpresscorner.com) Google says customers are already using agents for jobs ranging from game testing at Capcom to financial work at Citi and operations with ServiceNow. The next test is whether those systems stay reliable when they leave the keynote and start making decisions inside real companies. (blog.google) (googlecloudpresscorner.com)