How real businesses are deploying and using AI at work.
AI enterprise news covers how real businesses — Fortune 500s, mid-market operators, and public-sector organizations — are actually deploying AI at work. Expect case studies, adoption benchmarks, ROI reports, integration announcements (Microsoft 365 Copilot, Salesforce Einstein, ServiceNow Now Assist), and the change-management stories that separate successful rollouts from failed pilots.
If you're leading an AI initiative at work, this stream shows you what's working, what's failing, and what your peers are quietly building.
AI PROBLEMS Spectrum News: Ohio business says inaccurate Google AI summary of store is hurting sales. “About a week ago, [Chanel Bush] said a customer told her that the Google AI summary of t…
Deprecated — frozen at 0.7.2. Replaced by `npx readev-tools`, which installs the same workflow for any AI coding tool

The transition from chatbots to autonomous agents is changing the shape of demand itself, and tokenomics — the economics of AI token consumption — is emerging as the defining constraint on enterprise budgets as round-the-clock inference replaces intermittent …
Spira.ai debuts an autonomous AI Influencer platform for DTC retail, deploying scalable 24/7 digital personas to slash CAC and accelerate growth....

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, without sending operational data outside their own network MIDDLETOWN, Del., July 24, 2026 /PRNewswire/ -- JAMS Soft…
The intelligent identification of tea diseases is crucial for ensuring tea quality and reducing economic losses in the tea industry. However, the deployment of deep learning models on edge devices remains challenging due to the conflict between detection accu…
Order from leading U.S. drone manufacturer moves Factorial into commercial deployment...

Atlassian Service Collection is a comprehensive and slick help desk management solution for both external customer service and internal IT support. It has three main components: Assets, Customer Service Management, and Jira Service Management (ITSM), with the…

The transition from AI experimentation to full-scale deployment has exposed a stark reality for enterprise customers: AI token routing is emerging as the critical strategy to manage skyrocketing costs as the infrastructure decisions made in phase one come due…

inKind’s Johann Moonesinghe argues that A.I.’s greatest opportunity in hospitality lies in building the infrastructure that helps independent restaurants connect capital, customer demand and operational intelligence without sacrificing the human experience th…

AI agents are no longer reserved for developers or tech experts. In a recent overview by Zinho Automates, the process of creating functional, no-code AI agents is broken down into a clear, step-by-step approach. By defining an agent’s purpose, integrating it …

When ChatGPT set off a global corporate scramble in late 2022, Walid Mehanna was already deep into rebuilding the digital backbone at the world’s oldest pharmaceutical company. As group data officer at Germany’s Merck KGaA (also known as Merck Group in the U.…

Merck KGaA’s chief data and A.I. officer Walid Mehanna explains how governance, employee trust and startup agility are shaping enterprise adoption.

Partnership combines Cognizant’s global AI engineering capabilities with Gulf Edge’s sovereign digital infrastructure to capture the region’s growing demand for secure, scalable AI solutions. From left to right: 1. Mr. Thomas Mathew, Vice President , Head of …
The pattern that keeps showing up: narrow use case, measurable baseline, one clear owner, tight feedback loop, and a plan to retire the workflow if it doesn't clear a defined ROI bar within 90 days.
See our AI Tools directory filtered by 'enterprise' — we cover Microsoft 365 Copilot, Google Workspace Gemini, Notion AI, ClickUp AI, Salesforce Einstein, and 100+ others with side-by-side comparisons.
Use our Business Case AI Assistant to turn a use case into a costed proposal your CFO will read. It uses the same frameworks McKinsey and BCG apply to AI investment decisions.