Qlik launches agentic AI advisory to speed deployments

Qlik has launched Qlik Agentic Advisory, a new service within Qlik Advisory Services.

The offering is aimed at companies trying to turn early agentic AI ideas into defined use cases that can be assessed, prioritised and prepared for implementation.

Businesses are under growing pressure to show returns on AI spending while also addressing governance, data readiness and organisational responsibility. The new service is intended to help customers decide which ideas to pursue and what operating model is needed to support them.

It uses a structured discovery process before a Business Adoption Workshop or other advisory engagement begins. The goal is to help customers start with a clearer view of business problems, intended outcomes and a candidate use case, rather than a broad set of AI ambitions.

A central part of the approach is a "sell-or-save" lens that classifies potential agentic AI projects by whether they are more likely to increase revenue or cut costs. This framework is intended to help customers judge near-term value and decide which projects are most ready for execution.

Three Stages

Qlik has structured the service around three stages: crystallise, prepare and activate. In the first stage, it works with customers to define and rank use cases against business objectives, pain points, expected outcomes and key performance indicators.

The second stage focuses on readiness, including assessments of data, governance, roadmaps and the operating model needed to support the selected use case.

In the final stage, the service shifts to business adoption and execution, including change enablement, stakeholder alignment and other readiness work to support operational rollout.

Engagements can include Business Adoption Workshops, AI and data readiness assessments, data governance assessments, operating model design, roadmap development and change enablement. Qlik describes the model as modular, allowing customers to begin with a specific problem such as governance or operating design and expand the work later.

The launch comes as more technology suppliers position advisory services around generative and agentic AI to move customers from experimentation to more formal deployment. For many companies, the challenge has shifted from proving that AI tools can produce outputs to deciding where they fit in business processes and how to oversee them.

Qlik, which says it is used by 75% of the Fortune 500, has been expanding its message around trusted data, governed AI and operating models for enterprise use. Qlik Agentic Advisory adds a services layer to that push by focusing on planning and governance before implementation begins.

Roberto Sigona, chief operating officer at Qlik, said the service is designed to help customers narrow their focus.

"The hardest part of agentic AI is usually not generating ideas," he said. "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."

The new service is supported by QlikAdvisory.ai, which Qlik uses in the early discovery stage to help customers clarify what they want to solve before moving into deeper advisory work.

That reflects a broader trend in the enterprise AI market, where service providers are trying to address a common bottleneck: not a lack of ideas, but the difficulty of choosing projects that can be governed, measured and integrated into existing organisations. Qlik's approach puts that filtering process at the front of the engagement, before technical delivery begins.