🧱 No-Code Rovo Agents + Forge Actions = Real-World AI Workflows

[#1]

One of the most powerful things about Rovo is how quickly you can go from idea to working solution — even if you’re not a developer.

In our team, we explored building no-code agents to support workflows in HR and project time tracking. The goal: create a conversational interface for users to retrieve and analyze structured data from tools like Personio and Moco — all through natural language prompts in Rovo.

⚙️ What We Built

We created a no-code agent in Rovo Studio that:

• Answers org-related questions (e.g. team roles and supervisors)

• Pulls in absence data from Personio

• Connects to Moco to analyze logged hours

• Generates visual summaries — such as charts showing workplace distribution

To do this, we paired the no-code agent with custom Forge actions that acted as connectors to the external systems. These actions fetched the data and formatted it so Rovo could interpret and respond meaningfully.

🧩 Why No-Code + Forge Just Works

Rovo Studio made it easy for non-technical users to:

• Write prompt instructions tailored to specific tasks

• Attach Confluence spaces for context

• Choose actions — including the custom Forge actions built by our devs

And since custom actions can be shared across agents, we only had to build once — and enable many.

On the dev side, Forge gave us the flexibility to:

• Securely connect to external APIs

• Preprocess and filter the data

• Return it in a structure Rovo could use for summaries, decisions, or even charts

This created a strong hand-off between the developer-defined logic and the user-facing no-code agent.

✅ Result: Rovo Agent in Action

Here's a snapshot of the user experience inside Rovo, showing how the agent responds to organizational queries.

🗨️ Sample prompts:

• "Who is the supervisor of Barbara?"

• "What is Irmgard Heinrich's role?"

• "Create chart of people’s working places"

🤖 Responses:

• The agent identifies Barbara Vogt’s supervisor as Irmgard Heinrich.

• It explains Irmgard’s role: Teamlead Sales.

• When asked for a chart, the agent uses a Forge-powered action to retrieve data and generate a bar chart showing the distribution of employees by workplace — complete with a link to the underlying report.

This combines:

• Natural language processing

• External system integration

• AI-powered visualization
  All in a single conversational flow.

💬 Have you tried combining no-code agents with Forge actions?
Which systems would you love to connect?

Let’s share ideas — and maybe some code!

[Talent flame]

What about developers , this looks good for prototyping, what would you do for full fledge application development, what would you suggest for developers like to work on ? 

[Paul Pasler]

As the custom actions have to be provided via a Forge app, there is still work for developers :)

I suggest you begin by learning how develop with Forge and concentrate on the Rovo modules (in case you want to something with AI).

You might start with this video from @Caterina Curti: https://www.youtube.com/watch?v=WwhEq8MFFeE