Qlik 2026: From Business Intelligence to Agentic AI

The innovations presented at Qlik Connect 2026 take Business Intelligence beyond dashboards, moving toward a Decision Intelligence model based on AI, certified data, and advanced governance.

Advinser, Qlik official partner specializing in Business Intelligence solutions for the manufacturing, fashion, and utility sectors, is immediately integrating these innovations into its platforms and dashboards. The goal is simple: transform company data into an increasingly useful tool for those managing production, sales, finance, and operations. While Business Intelligence previously helped understand what happened, today it helps understand why it happened and what actions to take.

The Three Pillars of Decision Intelligence

The innovations introduced by Qlik are based on three key elements: Agentic AI, Model Context Protocol (MCP), and certified Data Products.

1) Agentic AI: Business Intelligence that helps you decide

For years, dashboards have been the primary tool for business analysis. However, identifying a problem and understanding its causes often requires time, experience, and consulting many different information sources. Agentic AI introduces a new approach: users can interact with intelligent assistants that automatically analyze company data, technical documentation, operating procedures, and internal organization knowledge to provide contextualized answers and support decisions.

These are not simple chatbots. These systems can connect information from ERP, MES, CRM, financial systems, and corporate documentation, delivering comprehensive answers aligned with the operational context.

• A manufacturing example: An operations manager could ask: "Why did packaging line productivity decrease this week?" The assistant analyzes production data, compares performance with previous periods, and checks for anomalies. If necessary, it automatically consults machine manuals, maintenance procedures, and technical documentation, highlighting that the drop is linked to a series of repetitive micro-stoppages or a maintenance task that has not yet been performed.
• A financial management example: A CFO could ask: "Why did the operating margin decrease compared to the previous quarter?" The assistant correlates energy costs, purchasing, production, and sales, automatically identifying the factors with the greatest impact on the financial result. In seconds, management gets a data-backed explanation without having to consult separate reports from different systems.
• A sales management example: A sales director could ask: "Why are sales slowing down in the German market?" The assistant analyzes order trends, customer behavior, margins, and product performance, identifying the main causes of the slowdown and providing a complete overview of the situation.

Data and documents in a single answer One of the most innovative aspects is the ability to simultaneously use structured data and corporate documentation. Technical manuals, operating procedures, quality documents, certifications, contracts, and reports can be queried alongside data from management systems. For manufacturing companies and utilities, this drastically reduces the time needed to find information and accelerates decision-making.

2)Model Context Protocol (MCP): Reliable data for any artificial intelligence

AI adoption in companies is growing rapidly, but a problem often emerges: different models can interpret data differently, generating inconsistent or hard-to-verify results. The Model Context Protocol (MCP) is the core open standard released to securely connect Large Language Models (LLMs) to enterprise data sources. Third-party AI models often fail at complex calculations because they lack context and the logic behind specific company KPIs.

• The associative engine as an "anchor of truth": By implementing the Qlik MCP server, Advinser allows external AI to use Qlik's associative engine as a centralized semantic layer. The external AI does not query the raw database directly (risking incorrect calculations), but queries Qlik instead.
• Security and governance: The MCP protocol ensures that the AI strictly respects the data access permissions set at the corporate level (Row-Level Security). This allows Utilities or high-precision factories to let their virtual assistants interact with financial or operational data in total safety, guaranteeing mathematically exact answers compliant with data governance.

3)Qlik Data Products: Curating and monetizing data as finished products#

The Data Product concept shifts BI from a "let's create a dashboard for every request" model to a structured catalog model. A Data Product is a clean, governed, ready-to-use dataset that can be reused for multiple analytical purposes, treated with the exact same rigor that a factory applies to its physical products.

• The Data Marketplace: Through Qlik Talend Cloud, Advinser centralizes corporate information flows (e.g., billing data for Utilities or quality logs for manufacturing), packaging them into certified and documented Data Products accessible via an internal marketplace.
• The Qlik Trust Score™: Each Data Product includes an integrated informational dashboard containing the Trust Score. This indicator analyzes data quality, the freshness of the last pipeline update, and the absence of anomalies in real time. Business users or developers can "buy" the data package to create new reports or feed the AI, knowing exactly if the data is 100% reliable.

A renewed UX for maximum business autonomy

Beyond computational capabilities, Advinser embraces the user experience renewal introduced this bimester. The new industrial dashboards adopt the native Foundation and New Horizon graphical frameworks, which guarantee clean, ultra-responsive interfaces optimized for shop-floor tablets. Thanks to features like Pivot Table Exploration, managers can reorganize data visualization via drag-and-drop directly during analysis, eliminating waiting times for modifications by the IT department.

The future of Business Intelligence is already here

The evolution of Business Intelligence is no longer just about visualizing data, but about making information truly actionable for those who must make decisions every day. By integrating Agentic AI, Data Products, and new governance technologies, Advinser brings a new generation of solutions to manufacturing and utilities, combining data, corporate knowledge, and artificial intelligence into a single ecosystem.

To find out how to integrate these innovations into your organization, contact the Advinser team.