Teams | Collaboration | Customer Service | Project Management

While most enterprises are talking about how they approach AI transformation, increasingly knowledge management and arranging the required context are important factors in whether or not AI can work effectively. This shift is creating demand for a new role called the Knowledge Architect. We have Systems Architects to design the overall structure of software and hardware systems. Knowledge workers execute on work across different functions like Sales, Marketing and Engineering to achieve business goals.

Think about the five apps you can’t do your job without. Now count how many of them talk to each other. If you’re in sales, your deals live in one tool, your contracts in another, your decks in a third. If you’re an engineer, your tickets, your incidents and your code reviews are three different tabs. Every one of those apps got an AI assistant this year. None of them got any closer together.

I spent a day in New York with agency leaders, operators, and industry experts at OPERATE'26, Teamwork.com's inaugural Agency Leaders Summit. The conversations covered scaling, profitability, AI, talent, and leadership. But the strongest takeaway wasn't fear about the future. It was optimism. Here's what the day kept coming back to.

Picture this: it's Monday morning, town hall is at 2 pm, and someone has sent the usual calendar reminder: "Don't forget to update the weekly support deck!" You open the slide, look at last week's numbers still sitting there, and start the ritual. Open Zendesk. Find the right report. Check the date filter. Copy the number. Switch to Slides. Find the right text box. Paste. Repeat fifteen times. Silently wish you were somewhere else. You tried delegating it to an intern once.

AI does some tasks better than others. An AI adoption audit can help you measure AI and productivity along this "jagged frontier.”