Enterprises want integrated, governed AI

A hotel group with 560 properties just made one of the clearest enterprise artificial intelligence bets of the year, and it was not a bet on a flashy new model. Minor Hotels said on April 9 that it is building a global data and artificial intelligence platform with Google Cloud, Salesforce, OneTrust, and Deloitte to unify guest data, marketing, and operations across its brands. (minorhotels.com) Minor Hotels runs brands including Anantara, Avani, Elewana Collection, NH, NH Collection, nhow, Oaks, and Tivoli across 58 countries, so the basic problem is not inventing more artificial intelligence features. The basic problem is that guest information, loyalty activity, bookings, and service requests often live in different systems that do not talk to each other cleanly. (minorhotels.com) The company said the new stack is meant to create a single, governed view of the guest, which is the corporate version of replacing a pile of sticky notes with one shared file cabinet. Google Cloud is providing the cloud and data layer, Salesforce is handling customer-facing workflows, OneTrust is covering privacy and consent, and Deloitte is helping build and roll out the system. (minorhotels.com) That mix tells you what buyers are paying for in 2026. They want artificial intelligence tied to identity, permissions, customer records, and business processes, because a model that writes nice text is not very useful if it cannot safely reach the right data at the right moment. (minorhotels.com) (soprasteria.com) Sopra Steria Next put a number on that gap on April 9. The consulting firm said fewer than one-third of generative artificial intelligence projects reach a stable production level, which means most companies are still stuck in pilot mode instead of running systems that are secure, monitored, and repeatable. (soprasteria.com) (prnewswire.com) Its prescription was not “buy a better model.” Sopra Steria Next said companies need industrialisation, which in plain English means the boring machinery around the model: governance rules, security controls, operating processes, and ways to move experiments into production without breaking compliance or reliability. (soprasteria.com) WalkMe’s new survey shows why that boring machinery keeps beating demos in budget meetings. In a study of 3,750 executives and employees across 14 countries at companies with at least 1,000 workers, the firm found employees lose 51 workdays per year to technology friction. (globenewswire.com) WalkMe said that 51-day figure was up 42 percent from 2025, even after a 38 percent increase in digital investment. It also found that 54 percent of workers bypassed artificial intelligence tools and completed tasks manually at least once in the previous 30 days, while 33 percent had not used artificial intelligence at all. (globenewswire.com) Put those three announcements together and the pattern is hard to miss. Minor Hotels is buying a connected platform, Sopra Steria Next is arguing that most projects fail without production discipline, and WalkMe is showing that workers still abandon tools when the workflow gets messy. (minorhotels.com) (soprasteria.com) (globenewswire.com) That is why enterprise sales pitches are shifting away from “look what this model can generate” and toward “here is how this fits your data, your permissions, and your staff.” In large companies, the winner is increasingly the vendor that removes five clicks, one duplicate record, and one compliance headache, not the vendor with the most impressive demo. (globenewswire.com) (minorhotels.com)