Teams | Collaboration | Customer Service | Project Management

Microsoft Teams has evolved into the central hub for workplace collaboration for millions of organizations. While chat and video meetings are standard, integrating external voice capabilities remains a critical step for many businesses. Leaders often face a difficult choice when adding voice services to this platform. You generally have two primary options to connect your staff to the outside world. This guide analyzes the differences between Microsoft Calling Plans vs. Direct Routing to help you decide.

In the world of customer support, time is a critical resource. Every moment an agent spends reading through conversations threads and ticket history is a moment a customer is left waiting. This information overload is a primary driver of slow response times. But what if your team could understand the entire context of a customer issue in seconds, without all the back-and-forth conversation? This is the power of OneDesk’s AI-powered ticket summaries.

I’ve seen how quickly projects can become stressful when you don’t have a clear picture of where time, people, and budgets are being spent. Work can start to feel chaotic when resources are stretched, and expectations keep rising because of AI. I’ve also learned that most of these problems are avoidable. When you can clearly see who’s working on what and how resources are being used, planning gets easier and pressure drops across the team.

According to the IDC Annual Collaboration Study 2025, 72% of organizations report that “agentic AI functionality is key to collaborative application purchases,” yet uncertainty remains around how to ground it in real workflows and decisions.¹ At Miro, we believe AI performs best when it operates inside shared, integrated collaboration systems — not as a standalone tool. This is part of a broader shift in how work happens.

Artificial intelligence has a bit of an image problem. Depending on who you ask, it’s either the future of everything or the beginning of the end. In hospitality, that tension feels especially real. After all, the entire industry runs on people. Smiles, conversations, intuition, and those small gestures that make guests feel seen. So where does AI fit into something so human? Surprisingly well. Not as a replacement. Not as a robot takeover.

Data accuracy and deliverability are critical for modern startups. When you are trying to scale quickly, even a handful of missed leads or brief deliverability issues can slow growth and waste budget. Email verification tools solve this problem, but many founders face a familiar challenge: needing enterprise-level accuracy without enterprise-level pricing. To help, we have curated a list of affordable email verification services designed for startups.

An SLA policy sets clear expectations for response and resolution times, but when it’s poorly defined or inconsistently applied, support teams quickly lose control over priorities. Requests start piling up, deadlines slip, and users receive uneven service depending on who handles the ticket. On InvGate Service Management, you can create and manage multiple SLAs in a few clicks. This article explains how to define SLA and SLO policies, and why a single SLA policy often falls short.

Managing a remote workforce means finding the right balance of visibility and respect for your employees’ privacy. Heavy-handed “bossware” that secretly records every keystroke or webcam feed may boost short-term compliance, but it often backfires. Studies show that invasive employee monitoring can increase stress and reduce job satisfaction.

If I’ve learned one thing in my years of juggling projects, it’s that one without a clear plan will always find a way to go off course. Sometimes the cracks show up subtly via the odd missed deadline or overlooked detail. Other times, the chaos is far more obvious, with Slack pings flying in every direction, and weekend work no one signed up for. These issues rarely come down to the team. More often, they come down to how the project was planned (or how it wasn’t).

Monthly insights into human-AI collaboration – and how to make it work for your teams.