Starting today, teams can check on their Asana portfolios, generate and preview new projects, and create tasks directly in Claude, Anthropic’s AI offering. This connection is especially meaningful for teams already using Claude to think through work.
People's decisions are no longer driven by instinct alone. As organizations grow more complex and distributed, you need reliable data to understand what’s happening inside your workforce and why. People analytics, also known as workforce analytics or HR analytics, bridges this gap by turning everyday HR data into meaningful insights that improve performance, productivity, and decision-making.
Choosing the best AI chatbots for customer service in 2026 comes down to one thing: how well they blend knowledge-grounded answers with seamless help desk and CRM workflows. According to Gartner, in 2025, 80% of companies were already using — or planning to use — chatbots in their customer service strategy. The AI chatbot market in 2026 favors platforms that deflect routine questions, route complex issues to the right agent, and learn from every interaction to lift CSAT and reduce costs.
What if every customer could feel truly seen in AI customer support—not just recognized by a ticket number or automated reply, but understood in context, intent, and history? For many businesses, this question sits at the heart of modern customer experience. AI customer support has evolved far beyond basic chatbots and canned responses. Today, it represents an opportunity to combine intelligence, speed, and personalization in ways that were previously impossible at scale.
•A project timeline is a visual roadmap that orders deliverables, tasks, dependencies, and milestones by date, so teams can see what happens next and when it is due. •Timelines clarify priorities, keep the big picture visible, and align stakeholders around shared goals. They also improve communication, unify distributed teams, and surface bottlenecks before they delay delivery.
As organizations grow, training becomes harder to manage. New employees join from different locations, teams adopt new tools, and processes evolve faster than documentation can keep up. In this environment, relying on informal knowledge transfer or static documents often leads to inconsistency and confusion. Corporate training needs a system that allows learning to be structured, updated, and measured over time.