How Agentic AI is Changing the Way Qlik Sense Teams Work
Posted on July 8, 2025 | By Admin
Business Intelligence is no longer about just building dashboards. In 2025, Qlik Sense teams are rethinking their role—not just to visualize insights, but to operationalize them.
That shift is being fueled by Agentic AI. AI systems that observe, decide, and act with minimal human input. At Qlik Connect 2025, CEO Mike Capone made it clear:
“The next phase of business intelligence is not just data access, it’s data ownership. Agentic AI will help Qlik users go from insight to action without delay.”
Qlik has laid the groundwork through real-time pipelines, active intelligence, and context-driven modeling. Now, the push is toward reducing delays between data and decision-making.
Let’s unpack what Agentic AI looks like in real-world enterprise settings.
What Is Agentic AI in BI?
Agentic AI refers to systems that operate with intent and independence. Instead of waiting on analysts to respond to dashboard insights, these systems:
- Monitor for conditions in real time
- Understand business context
- Decide the best next action
- Execute workflows autonomously
- Learn from outcomes
It’s about turning insight into immediate action, at scale. The evolution looks like this:
| Stage | Old Way | Agentic Way |
|---|---|---|
| Insight | Dashboard refresh | Autonomous monitoring |
| Alert | Threshold-based email | Multi-factor condition routing |
| Action | Manual ticket raised | Automated task created, message sent |
| Follow-up | Analyst intervention | Closed-loop execution with agent oversight |
What Enterprises Are Doing Now
Across industries, companies are already piloting agentic patterns within their BI stacks.
For instance,
- Banking: Real-time fraud alerts now trigger auto-freeze actions across card systems.
- Retail: Inventory systems use live sales data to reorder SKUs based on predictive demand.
- Manufacturing: Sensors alert on downtime and trigger maintenance work orders directly into ERP tools.
IDC estimates that by 2027, 50% of GenAI-powered enterprises will run agentic pilots.
Gartner predicts one-third of enterprise applications will embed agentic features by 2028.
Qlik users are at the forefront because the data foundation already exists.
Roadmap to Agentic AI Adoption
Organizations don’t need to deploy full AI agents on day one. The key is building the muscle to let systems observe, act, and improve.
Here’s a simplified 5-step roadmap to begin that transition:
- Shift from Reports to Signals: Treat dashboards as part of a system, not the system itself. Let data alert you, don’t go searching.
- Make Decisions Executable: Every insight should lead to an action path (e.g., ticket, update, message). Build bridges between analytics and operational tools.
- Embed Intelligence Where Work Happens: Push KPIs and alerts to Slack, Teams, Salesforce, or CRMs. Enable in-context reactions, no tab-switching.
- Establish Guardrails and Oversight: Let systems execute, while keeping transparency. Define what AI can do, where approvals are needed, and who gets notified.
- Design for Feedback: Your first version won’t be 100% right. Log actions, track outcomes, and let systems learn what works.
This progression turns passive insights into repeatable outcomes without jumping into full automation right away.
SenseOps: Preparing for Agentic AI Experiences
SenseOps is helping Qlik Sense teams move beyond static dashboards and into real-time, action-ready workflows.
Here’s what’s already in place today:
- Logic-driven alerts with flexible rules, filters, and multi-channel delivery
- Embeds that bring interactive KPIs and charts into tools like CRMs or portals
- Writeback support for capturing inputs or triggering updates from dashboards
- Version control & CI/CD for streamlined, safe deployments
- Governed collaboration for better visibility and role-based teamwork
Every team’s data needs are different. If you’re exploring Agentic AI for your Qlik Sense use case, let’s talk about how your current workflows can evolve toward smarter, faster decision-making.
Conclusion
Agentic AI is the logical next step in the BI evolution. With Qlik Sense already built for context-rich analytics, the focus now is on execution and removing friction between insight and action.
As Mike Capone said:
“The companies that win aren’t the ones with the most dashboards, they’re the ones with the fewest blockers between insight and action.”
Ready to explore Agentic AI for your Qlik use case? Let’s talk about your needs.
📅 Schedule your availability here
📩 Or write to us at hello@senseops.com