During a recent trip to Silicon Valley, I had the opportunity to visit Zoom's Executive Briefing Center in San Jose and spend time with their leadership team. Going into the meeting, I expected to hear about AI enhancements, new collaboration features, and the product roadmap. We certainly covered those topics, but I left thinking about something entirely different.

The conversation wasn't centered on meetings. It was centered on work. More specifically, all of the work that surrounds every meeting and quietly consumes hours across an organization. Scheduling, preparation, note taking, follow-up, task creation, CRM updates, project coordination, and searching for information all happen before and after the meeting itself. Individually, those tasks don't seem particularly significant. Collectively, they consume an enormous amount of time and create unnecessary friction across the business.

That perspective shaped nearly every discussion we had throughout the day.

Meetings Are Only Part Of The Work

Most organizations spend a great deal of time trying to make meetings more productive, but relatively little time thinking about everything that happens around them. Employees often leave a meeting with pages of notes, a handful of action items, and a list of people who need follow-up. Someone has to document the discussion, assign work, update systems, schedule the next meeting, and communicate decisions to the broader team.

None of those activities are particularly difficult, but they're repetitive and time consuming. They're also the kinds of work that technology should be helping us eliminate rather than simply making slightly easier.

That was one of my biggest takeaways from Zoom's vision for ZoomMate.

ZoomMate Is Designed To Connect The Dots

Most collaboration platforms have introduced AI features over the past couple of years. Meeting summaries, transcripts, note generation, and chat assistants have quickly become expected capabilities.

Zoom's vision for ZoomMate goes further. Rather than focusing solely on helping users capture information, the goal is to help move work forward. That means understanding the context of a conversation, identifying next steps, connecting with the systems employees already use every day, and reducing the amount of manual effort required after a meeting ends.

Imagine customer conversations automatically updating CRM records, project discussions generating tasks, or action items flowing into your project management platform without someone manually recreating the work. Those seemingly small improvements compound quickly across an organization.

The opportunity isn't simply to save a few minutes after each meeting. It's to reduce the operational friction that slows teams down every day.

The Best Technology Often Fades Into The Background

One theme has consistently emerged in my conversations with technology leaders this year. They aren't looking for more applications. They want the technology they already use to work together more effectively.

The most valuable innovations rarely draw attention to themselves. They quietly remove unnecessary steps, eliminate duplicate work, and simplify everyday processes. Employees spend less time thinking about the technology because the technology is doing more of the work behind the scenes.

That's a much more practical way to think about AI.

The goal isn't to replace people or automate every decision. It's to eliminate repetitive administrative work so employees can focus on problem solving, customer relationships, innovation, and the work that actually creates value for the business.

Start With The Workflow, Not The Technology

Organizations evaluating AI often begin by comparing products and features. While those conversations are important, I've found it's more valuable to start somewhere else.

Look at where your employees are spending time.

• Where are they manually entering the same information into multiple systems?
• Where are projects slowing down because follow-up depends on someone remembering the next step?
• Which activities add administrative overhead without creating meaningful business value?

Answering those questions usually provides a much clearer roadmap than evaluating AI tools in isolation.

The technology should support the workflow, not become another workflow to manage.

How Advoda Can Help

Every organization is approaching AI from a different starting point. Some are experimenting with individual tools. Others are developing broader governance and adoption strategies. Most are somewhere in between, trying to separate meaningful opportunities from the constant stream of announcements.

At Advoda, we help organizations evaluate AI through the lens of business outcomes. That means understanding how your teams work today, identifying where unnecessary friction exists, and recommending technologies that simplify operations rather than add complexity.

My visit to Zoom's Executive Briefing Center reinforced something I've been thinking about for quite some time. The organizations that realize the greatest value from AI won't necessarily be the ones using the most AI tools. They'll be the ones that thoughtfully integrate AI into the workflows employees already rely on every day, allowing people to spend less time managing work and more time accomplishing it.

If your organization is exploring AI, collaboration platforms, or ways to improve productivity across your teams, we'd welcome the opportunity to share what we're seeing across the market and help you build a practical roadmap aligned with your business goals.

Technology, simplified. Growth, amplified.