Insights, strategies, and lessons from the frontlines of AI implementation. Real stories from real projects.
Picture this: a customer emails in a PDF purchase order. Someone on your team opens it, reads it, types the line items into the ERP, checks inventory logic, applies pricing rules, and submits. Eight minutes, give or take. Multiply that by hundreds of orders a day, and you've got
Three out of four mid-sized companies are running AI experiments. Only one in four is doing anything with the results. That's the finding buried inside new economic research from the Centre for Economics and Business Research (Cebr), commissioned by HSBC UK . It's a more useful n
Picture this: you've spent the last 18 months carefully rolling out AI copilots across your sales, HR, and ops teams. Your stack has grown to include a writing assistant here, a meeting summarizer there, a code helper for the dev team. Productivity is up. Morale around AI is dece
Picture your procurement team's new AI agent — the one they spun up last quarter to streamline vendor orders. It's been quietly running for three months. Then one morning, you get a call from your CFO: the system over-ordered $800,000 in materials because it interpreted a tempora
On February 3, 2026, Anthropic quietly pushed 11 open-source plugins for Claude to GitHub. Within a single trading session, $285 billion in SaaS market cap evaporated. Salesforce, ServiceNow, Zendesk, legal-tech firms, financial data companies: all torched in what the financial p