Teams | Collaboration | Customer Service | Project Management

Running communications surveillance at a financial organization today often means being under increasing pressure to bring AI into daily workflows. For many organizations, this raises the question of how to have AI screen alerts and shape decisions in a way that is in accordance with regulatory requirements.

At 4:45 p.m. a customer asks if Friday’s delivery is confirmed. Operations have a date. Sales promised an update. The account manager is about to join another call. An AI email assistant can produce an answer in seconds.. The wrong answer might cost the team an entire afternoon. Business email needs more than sentences. The useful tools solve problems. Some retrieve the context of a thread. Some improve phrasing. Others stop colleagues from answering the same request twice.

Tracking project progress means producing one defensible number: the percentage of planned work actually finished. That number depends on the method used to credit partially finished work, and the choice changes the answer. A project with four of ten tasks done reads 40% under a 0/100 rule and 55% under a 50/50 rule — the same work, fifteen points apart.

A project management dashboard shows the few numbers that tell you whether a project will finish on time and on budget. The core set is schedule variance, cost variance, the schedule and cost performance indexes, and a forecast of final cost. All four come from three inputs: the budget, the percentage of work actually complete, and the cost incurred to date.

Protect focus time, trim meetings, and set a hard stop. Ten tips for remote workers and managers, each tied to a study and what it measured.

AI makes it possible to produce work quickly, but it can also result in a lot of workslop—that is, work that looks polished, but does little to move the project forward. Sorting through workslop is time-consuming and undercuts the ROI on AI. It may look like productivity, but it just moves the actual work farther downstream. The Teamwork Lab realized that workslop isn’t an AI problem, or even a people problem.

If agents write the evals, draft the specs, and run the loops, what work is left for a product manager? One answer I keep seeing online is that product writes the evals, approves the agents, orchestrates the loops, and picks one at the end. At ProductCon San Francisco, I made the case that product’s role is much bigger: deciding what’s worth building and bringing a team along, which is especially important as agents accelerate building.

We built the Insightful work data platform for the leader who needs to know how work is actually going without standing over anyone's shoulder. So we went and read what those leaders and their teams wrote about us.

Attendance tracking records when people start, break and finish, so hours, lateness and absence are accurate. The method matters less than two things most guides skip: separating protected absences from countable ones, and knowing that a fingerprint time clock is the single most litigated piece of attendance hardware in the US. Start with the template below, then read the two legal sections.

Overwork is one of the most costly problems in the modern workplace and one of the easiest to ignore. The Eagle Hill Consulting Workforce Burnout Survey, carried out by Ipsos in November 2025, found that 55% of employees in the United States reported that they were suffering from burnout; 61% of those who work fully from home said they were experiencing burnout; and 57% of hybrid workers said they were experiencing burnout.