Teams | Collaboration | Customer Service | Project Management

Debbie Levitt, CXO of Delta CX, refused to bring AI into her work for a long time. Three years ago she tested the tools, found they couldn’t think critically or get basic facts right, and kept them out of her process. A year later, despite her initial disappointment, she decided to run an experiment based on her real work, and was amazed by the results.

A product manager posts a status update in the team channel on a Tuesday morning. It is four tidy paragraphs, bolded headings, a closing line that says the team “remains committed to delivering value.” Two engineers react with a thumbs up.

Generative AI has transitioned from a novel innovation to a critical workplace productivity tool. Employees are rapidly adopting various generative AI tools, including Microsoft’s Copilot, ChatGPT (OpenAI), Claude (Anthropic), etc., to code, summarise, interpret, answer questions, and accelerate tedious business processes.

Multiple person detection software uses AI webcam analysis to count the people in front of a work screen and alert security teams when anyone other than the authorized user appears. It runs face and person detection on sampled frames, tracks faces over time, verifies the logged-in employee, and applies policy rules such as blurring the screen or locking the session.

This is a practical guide for anyone using AI to move an idea towards something real. It gives you five ways to keep the people, context, decisions, and quality connected as the work moves.

Workstation monitoring is the device-level layer of employee monitoring: a software agent installed on a computer that records application and website use, active and idle periods, and optionally file events and screenshots. Every product page in this category explains that the agent is lightweight, deploys by Group Policy and keeps recording when the machine is offline. All true.

Teamwork.com is introducing AI credits. If your first question is “what’s this going to cost me?”, the short answer is that your credits come included with your plan, at no extra cost. Your plan price stays the same, and most of the AI you use day to day doesn’t use credits at all. What changes is how the bigger jobs you hand to AI are covered, like asking Ask AI for a report or having an agent prepare a client update.

Office-era time tracking breaks for distributed teams. Here's how to evaluate a tool built for how remote work actually runs.

Time management skills are the abilities used to decide what to work on, protect the time to do it, and adjust when circumstances change. Every guide to this subject lists roughly the same nine or ten of them. What almost none of them mention is that the question “does any of this work?” has an actual answer.

Workforce scheduling is the process of matching staffing to demand across time, within a labour budget and whatever rules apply to your workforce. Every article on the subject agrees on that definition, lists the same components, and then moves to software. The part that decides whether a schedule works is quantitative, and three numbers do most of the work: Miss the second one and you will be understaffed by roughly a quarter every single week while your headcount looks correct on paper.