Qlik has introduced Qlik Agentic Advisory, a new advisory-led offering within Qlik Advisory Services. The service helps enterprises move from broad AI ambition to operational reality by identifying, shaping, and preparing high-value agentic AI use cases for successful execution.
Many organizations generate numerous AI concepts but struggle to determine which ones deliver real business value, shape them into executable use cases, and build the necessary foundation for responsible deployment. Qlik Agentic Advisory addresses this challenge by combining Qlik’s expertise in business adoption, data and AI governance, and operating model design with a focused agentic AI perspective.
The offering uses a guided pre-work and discovery process so customers can arrive at workshops or advisory engagements with clearer objectives, aligned pain points, defined outcomes, and candidate use cases already outlined. This allows deeper focus on prioritization, KPI definition, and execution planning.
A simple sell-or-save lens helps teams quickly identify agentic opportunities most likely to drive near-term value through increased revenue or cost savings.
“The hardest part of agentic AI is usually not generating ideas,” said Roberto Sigona, Chief Operating Officer, Qlik. “It’s deciding what to pursue, shaping that into a use case the business can execute, and then putting the right data, governance, and operating model behind it. Qlik Agentic Advisory is designed to help customers do that with more clarity, fewer false starts, and a faster path to value.”
Qlik Agentic Advisory is built around three connected phases:
Qlik helps customers transform early ideas into well-defined, prioritized use cases. This includes alignment to business objectives, pain points, desired outcomes, KPIs, and the practical sell-or-save value framework.
The service assesses readiness and defines the required data foundation, governance framework, roadmap, and fit-for-purpose operating model to support the selected agentic use cases.
Qlik supports successful business adoption through change enablement, stakeholder alignment, and practical readiness activities that help move initiatives from planning to operational deployment.
Engagements are modular and can include Business Adoption Workshops, AI and data readiness assessments, data governance assessments, operating model design, roadmap development, and change enablement based on each organization’s maturity and priorities.
The modular design allows organizations to begin with their highest-priority use case or governance need and scale over time as their AI strategy matures. This practical, execution-oriented approach was showcased at Qlik Connect 2026.
About Qlik
Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.
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