Teams | Collaboration | Customer Service | Project Management

The best project management apps for Microsoft Teams, compared

You already live in Microsoft Teams. Your standups happen there, your files live there, and your quick "can you check this?" messages fly through it dozens of times a day. So when project work starts falling through the cracks, the instinct is obvious: find a project management app that plugs right into Teams. The problem? Microsoft Teams surpassed 250 million monthly active users as of 2021, according to Statista, and has continued growing since.

Group Communication - Types, Examples, Apps, and Best Practices

Group communication is the process of exchanging information, ideas, and feedback among three or more people working toward a shared goal. It enables teams to collaborate, solve problems, make decisions, and stay aligned in workplaces, educational institutions, and remote environments. Whether communication happens through meetings, messaging apps, video calls, or face-to-face discussions, effective group communication improves teamwork, reduces misunderstandings, and increases productivity.

How to Build Custom Software for Team Collaboration: A Detailed Guide

As a company grows, off-the-shelf collaboration instruments often turn into a bottleneck. Employees need to juggle dozens of apps with limited integrations and high subscription budgets. Custom software for team collaboration helps you address both process and cost efficiency concerns. Below, we discuss the key aspects of building a custom collaboration platform: steps, technology selection, cost estimates, and a list of top development service providers.

How to Give Clients Project Visibility without Giving Them Full Access

For agencies, giving clients project visibility often comes down to two imperfect options: manual reports that take time to prepare or broad access to a tool that can expose internal information. This guide shows how to create a controlled project visibility model that gives clients the right information at the right level of detail without handing over the keys.

Employee Attendance Rate Formula: Calculation & Benchmarks

Employee attendance rate = (Total Days Present ÷ Total Working Days) × 100. It measures the percentage of scheduled workdays an employee or team actually shows up for, excluding approved leave in most calculation methods. A healthy attendance rate for most organizations falls between 95% and 98%.

AI at scale: powering the digital workplace (summit recap)

Most enterprise AI programs don’t fail at the model level. They fail at the foundation — the data strategy, governance model, access controls, and measurement discipline that determine whether a pilot ever becomes a production system. The organizations scaling AI well did the unglamorous work first.

Claude Tag: Anthropic's Slack Takeover?

On June 23, 2026, Anthropic launched a product that should keep Slack’s leadership awake at night, and it launched it inside Slack itself. Claude Tag lets any employee mention @Claude in a Slack channel and hand it real work: watch threads, draft documents, fix code, chase forgotten follow-ups. It doesn’t behave like a bot. It behaves like a colleague, one that never sleeps, never forgets what was said in the channel last Tuesday, and never needs to be trained twice.

Project Manager: Who They Are, What They Do, and Why It Matters

A Project Manager is the professional responsible for planning, coordinating, and delivering a project on time, within budget, and according to the agreed scope. They oversee people, processes, timelines, and resources to ensure projects achieve their intended goals while minimizing risks and keeping stakeholders informed.

What an AI Contact Center for Financial Services Looks Like Inside Microsoft Teams

Customers have learned to expect that service should work like a conversation: describe the problem in plain language, get it resolved. Tools like ChatGPT and Gemini set that bar, and most contact centers fall short of it. The obvious fix is to add AI, yet MIT's NANDA initiative found that around 95 percent of enterprise generative AI pilots never reach measurable value. So the question worth asking is not whether to put AI into customer service.