You've told us that writing status updates and chasing dependencies across a portfolio is one of the most time consuming parts of managing goals and projects - so we built two ways to have Rovo do it for you.
Building on the AI-powered status updates we launched earlier this year, today we're launching two new capabilities that bring Rovo directly into your Goals and Projects workflow: new AI skills in Rovo Studio for building custom agents, and a contextual Rovo button that puts answers one click away.
For teams building custom Rovo agents, we've added a new set of Goals and Projects skills to Studio. These let your agents work directly with your goals and projects data - searching, fetching updates, understanding dependencies, surfacing risks, and even creating progress updates on your behalf. Read more about agents in Studio.
The new skills include:
Search and retrieve goals and projects
Fetch goal and project updates: get the latest progress on any goal or project
Get project dependencies: understand what's connected and what might be at risk
Get project risks: surface risks across a list of projects
Create a progress update: have your agent communicate progress to stakeholders automatically
Search teams and get team hierarchy: understand ownership and organisational context
Together, these skills make it possible to build agents that monitor your portfolio, flag issues, and keep stakeholders informed without anyone having to do it manually.
To explore Studio skills for Goals and Projects, head to Rovo Studio and see the Goal and Project skills added under Tools.
Goals:
Projects:
Preparing for a check-in or writing a status update shouldn't take longer than the meeting itself. The Rovo button puts contextual AI right on your Goals and Projects pages, so you can summarize progress, surface risks, or draft an update in seconds.
The Rovo button is available now on Goals and Projects pages - look for the icon in the bottom-right corner when you're in the directory, on the status page, or on an individual goal or project. Click it to open a side panel with contextual AI actions.
MCP (Model Context Protocol) support is coming soon. MCP is an open standard that allows any compatible AI tool or agent to securely connect to your data. That means you'll be able to plug your goals and projects into whatever AI tools your team already uses, opening up new workflows and use cases.
Now that Rovo can work with your goals and projects, we're curious - will you build an agent in Studio, ask Rovo a question from the page, or try something we haven't thought of yet? Share your ideas, questions, or feedback in the comments. It's the best way to influence what we ship next.
Nicola Sun
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