Overview
AskSenseOps is SenseOps conversational AI product that lets business users and developers ask questions in natural language and get answers grounded in their enterprise data.
It is one conversational agent across your BI apps, databases and enterprise documents, so users get answers without switching between tools. Every response is traceable to live query results or cited documents.
AskSenseOps does not come with an AI model of its own. It is installed on the server where your data sources are available and acts as a secure bridge between those sources and the language models you choose. You keep control of which models are used and how much they cost.
Ways to Use AskSenseOps
AskSenseOps can be used in three ways. They all connect to the same AskSenseOps server, so you can start with one and add the others later.
| Variant | What it is | Best for | Set up with |
|---|---|---|---|
| Web | The AskSenseOps portal in a browser, with chat, saved dashboards and administration settings. | Business users and developers who want a dedicated place to chat with their data, and administrators who manage models, sources and users. | Web Server Installation |
| Extension | An AskSenseOps extension that runs inside your Qlik Sense apps. | Users who want to ask questions without leaving Qlik Sense. | Extension Installation |
| MCP connector | AskSenseOps added as a connector to an LLM tool users already work in, such as Microsoft 365 Copilot, Claude or any other MCP-compatible client. | Teams that want their existing AI assistant to answer from governed enterprise data. | MCP Integration Setup |
In Microsoft 365 Copilot, users can ask questions, add charts to Qlik apps and build dashboards. To see how the pieces connect, see Architecture.
Supported Sources
Connect the sources you need and select the datasets users can ask about.
| Source | Configuration |
|---|---|
| Qlik Sense Enterprise | QlikSense Enterprise Configuration |
| Qlik Cloud | Qlik Cloud Configuration |
| Power BI | Power BI Configuration |
| Databases | Database Configuration |
| Enterprise documents | Document Source Configuration |
Supported Models
AskSenseOps works with the language models that fit your organization's policy, including cloud, local, offline and self-hosted options. Configuration guides are available for:
- Azure OpenAI and OpenAI
- Anthropic (Claude)
- Google Gemini and GCP Vertex AI
- AWS Bedrock
- Mistral AI, Cohere, Groq, Together AI and Fireworks AI
- Ollama, vLLM and Hugging Face (TGI) for local and self-hosted models
- GitHub Models
- Any custom OpenAI-compatible model
You can configure several models and switch between them for different use cases.
Key Features
1. Conversational Data Access
- Ask questions about enterprise data in natural language
- Get answers across connected BI platforms, databases and enterprise documents
- Trace every answer back to live query results or cited documents
- Improve answer quality by managing the metadata and business definitions the models use
2. Choice of Models and Cost Control
- Use the cloud, local, offline or self-hosted models you prefer
- Switch between configured models for different use cases
- Monitor LLM usage with built-in usage counters and local assets, to avoid unexpected credit consumption
3. Dashboards and Workflows
- Build saved and shareable dashboards from conversations
- Turn insights into scheduled or rule-based workflows
- Trigger notifications to the right teams based on defined workflows
4. Security and Governance
- Respect existing user permissions when accessing connected data
- Support Qlik streams and spaces, section access and row-level security
- Control who can use AskSenseOps with user roles and access controls
5. Works With Your Existing AI Tools
- Use AskSenseOps as an MCP connector in Microsoft 365 Copilot, Claude and other MCP-compatible clients
- Extend the assistants your teams already use with trusted access to connected BI apps, databases and documents
Getting Started
- Review the Prerequisites.
- Install the web server, then add the extension or MCP connector if you need them.
- Connect your sources and models using the configuration guides.
- Start asking questions in Chat or build a Dashboard.
For common questions, see FAQ & Troubleshooting.