Qlik · Claude · MCP

Agentic AI on Trusted Data with Qlik & Claude

We connect AI agents – Claude via MCP, orchestrated with n8n, Camunda or Qlik Talend – to governed, trusted data in Qlik. Your business teams get reliable answers and automated actions based on a verified data foundation. We start with a use-case workshop and deliver a production-ready pilot.

Request a use-case workshop
Business problem

Why AI pilots stall

Many AI pilots do not fail because of the model, but because of the data: it is not trusted, not governed or not accessible to agents. Hover over the tiles – the back shows how we solve it.

Data is not trusted

Agents deliver answers, but nobody knows whether the underlying data is correct.

A validated data foundation

With Qlik Talend Cloud we integrate and validate your data – data quality and lineage become traceable.

Data is not governed

KPIs are defined inconsistently, access rights and responsibilities are unclear.

Governance included

In Qlik, consistent KPIs, logic and permissions apply – for every agent as well.

Not accessible to agents

Data sits in silos, and agents cannot access it securely.

Controlled access via MCP

Via the Model Context Protocol (MCP), Claude agents access Qlik in a controlled way – and trigger actions in your workflows.
How it works

From trusted data to automated actions

1 · Integrate data

Qlik Talend Cloud integrates your sources and safeguards data quality and lineage.

2 · Context & governance

In Qlik, consistent KPIs, logic and permissions apply – the basis for reliable answers.

3 · Access via MCP

Via the Model Context Protocol, Claude agents access the Qlik data in a controlled way.

4 · Orchestrate & act

A workflow engine such as n8n, Camunda or Qlik Talend orchestrates agents and triggers actions in your systems.

You choose the building blocks: orchestration with n8n, Camunda or Qlik Talend – and, on request, AI hosted in Germany or an environment hosted by cimt.

Approach

From use-case workshop to production-ready pilot

Step 1

Use-case workshop

  • Identify and prioritise use cases with real business value
  • Review the data foundation in Qlik: quality, context, permissions
  • Agree on target architecture and pilot scope
Step 2

Production-ready pilot

  • Connect agents to the Qlik data via MCP
  • Orchestrate workflows and actions with n8n, Camunda or Qlik Talend
  • Operations, monitoring and further development – optionally with managed services
Use case example

Royalty cockpit in the media industry

In a workshop with an organisation from the media industry, we demonstrated the interplay of agents, workflow engine and Qlik: a workflow automatically enriches usage data and calculates royalties, while a Qlik cockpit makes the results analysable – and reveals relationships that stay hidden in individual tables.

In the demo scenario, for example: one usage channel accounted for 23.5 % of usage, but only 1.0 % of royalties.

23.5 %
Share of usage
1.0 %
Share of royalties
Why cimt

Data, AI and processes from a single source

Claude Certified Services Partner

Certified Partner in the Claude Partner Network – for AI agents with Claude and MCP.

Qlik Elite Partner

Qlik Data Integration Partner of the Year 2024 – with more than 100 Qlik Talend Data Integration experts.

Workflow expertise

n8n Expert Partner and Camunda Platinum Partner – for orchestration that works at enterprise scale.

More paths with Qlik: Talend Migration · ETL Modernisation · Qlik Partner cimt

Initial call

Start agentic AI on your Qlik data

Want AI agents to work reliably with your data? Let's discuss your starting point and show you what a use-case workshop and a production-ready pilot look like for you.

  • ✅ Personal call about your use cases
  • ✅ Initial assessment of data foundation and architecture
  • ✅ Response within 24 hours

Request a call back

FAQ

Frequently asked questions about agentic AI with Qlik

Agentic AI refers to AI agents that not only answer questions but also carry out tasks and trigger actions independently. Combined with Qlik, these agents work on governed, trusted data – with consistent KPIs, logic and permissions.
Most AI pilots fail because of the data: it is not trusted, not governed or not accessible to agents. That is why we start with the data foundation in Qlik and only then connect agents in a controlled way.
The Model Context Protocol (MCP) is an open standard through which AI models such as Claude access data sources and tools. This allows agents to work with your Qlik data in a controlled way.
Orchestration can be implemented with n8n, Camunda or Qlik Talend – depending on which platform you already use or which fits best.
Yes. On request, we use AI hosted in Germany or an environment hosted by cimt.
We start with a use-case workshop in which we prioritise use cases, review the data foundation and define the pilot scope. We then deliver a production-ready pilot – and support operations on request.
cimt is a Claude Certified Services Partner, Qlik Elite Partner, n8n Expert Partner and Camunda Platinum Partner. This lets us bring data, AI and process orchestration together from a single source.
Contact

Your contact for agentic AI with Qlik

Rouven Homann, cimt
Rouven HomannBoard Member, cimt Group

Note: This text was created with AI assistance.

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