Teams | Collaboration | Customer Service | Project Management

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.

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.

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.

Every agency ops leader eventually hits the same wall. A deal closes in HubSpot. Someone copies the client details into a spreadsheet. Another person builds the project manually, and by the time delivery starts, three days have passed and half the context is missing. That gap between "sold" and "started" is where client relationships quietly erode.

Your intranet can showcase beautiful branding and engaging content, but it still needs internal champions and partnerships to succeed. The organizations recognized by the 2026 Simpplr Employee Experience Excellence Awards demonstrate how executive visionaries, technical experts, and cross-functional collaboration create intranets that deliver results.

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.

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.

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.

To reduce bench time, IT consulting firms need to forecast staffing needs weeks ahead of project end dates, maintain a live searchable skills inventory, structure idle time into productive "active bench" work, and replace spreadsheet-based tracking with real-time visibility tools. Firms that implement these practices typically bring bench rates down from the 20–30%+ range seen during poor management to the 5–10% "frictional" range considered healthy. ‍

AI makes your organization’s knowledge easier to find and use. That’s the whole point. But it also means sensitive data moves faster, surfaces in more places, and becomes harder to track. The pressure to act is real, but the playbook isn’t new. You still need to know where sensitive data lives, govern how it’s being used, and prevent it from unauthorized exposure. AI is now giving you a reason to revisit your data security posture and make sure it’s strong enough to keep up.