Create a workflow. Earn the Agentic AI Adopter badge.

[calebjlee]

Once you've activated agentic AI capabilities, it's time to put them to work on something real, even something small.

Post your use case or workflow ideas here and we'll award you our newest Qlik Community badge: Agentic AI Adopter.

Tell us in the comments:

• What are you exploring? (Forecasting, anomaly detection, natural-language Q&A, something else entirely?)
• What did you build, or what are you planning to build?
• What's your top tip for a fellow Community member trying this for the first time?

A few ideas if you're staring at a blank page:

• Ask Qlik Answers a question you'd normally build a whole sheet to answer
• Point Discovery Agent at a metric you check every week and see what it surfaces
• Create a Data Product within Qlik Analytics

This doesn’t need to be polished. A simple “I tried this, and here’s what happened” works just fine!

Everyone who posts a first workflow, use case, or related project planning here gets the Agentic AI Adopter badge to display on your profile. 

[Chanty4u]

Hi @calebjlee 

I'm starting with very simple and sweet as this is the start of journey 😊

What are you exploring?

I’m exploring natural-language Q&A and anomaly detection using Qlik’s Agentic AI capabilities.

What did you build?

I’m planning a simple workflow where a user can ask questions about business data in natural language, such as:

«“What were the top 5 customers by sales last month?”

“Which region had the biggest drop in sales?”

“Are there any unusual changes in sales this week?”»

The idea is to use Qlik Answers / Agentic AI to provide insights without manually creating a separate sheet or visualization for every question.

My top tip:

Start small. Pick one business metric you already check regularly and let the AI answer a few real questions around it. Validate the answers against your existing Qlik dashboards before expanding the use case.

Excited to explore more Agentic AI capabilities in Qlik!  😎 

Best

Chanty4u 

[priscilarubim]

This challenge caught my attention right away, and I'm really excited to be part of it. Looking forward to learning from all of you and sharing what I build along the way!

[rdm6532]

We have built a Qlik Answers assistant that works alongside one of our most visible datasets, which helps our operations group ask natural language questions rather than require to setup dashboards to answer the same question.