Why AskSenseOps?
AskSenseOps brings conversational AI and enterprise analytics together, enabling organisations to make their data accessible through natural language. It provides a unified way to interact with business data, explore insights, and incorporate AI into existing workflows.
AskSenseOps is designed to work with an organisation's existing data infrastructure, allowing teams to choose how they access their data, deploy the solution, and configure the AI models they use.
Key Differentiators
1. Works Across Your Data Ecosystem
Organisations often work with data distributed across multiple BI platforms, databases, and document repositories. AskSenseOps provides a unified conversational interface to interact with these sources.
- Connect to Qlik Sense Enterprise, Qlik Cloud, Power BI, supported databases, and enterprise documents.
- Ask questions across connected data sources using natural language.
- Access information without switching between different BI platforms.
- Retrieve answers grounded in live data queries and cited documents.
2. Control Over Your AI Environment
AskSenseOps allows organisations to choose and manage the language models used to process their queries, based on their infrastructure and operational requirements.
- Configure models from multiple providers, including OpenAI, Azure OpenAI, Anthropic, Google Gemini, and AWS Bedrock.
- Use local, offline, and self-hosted models through supported integrations.
- Configure multiple models and switch between them for different use cases.
- Deploy AskSenseOps within the organisation's infrastructure to maintain control over its deployment environment.
- Monitor model usage through built-in usage counters.
3. Multiple Ways to Access AskSenseOps
AskSenseOps provides different ways for users to interact with enterprise data, depending on their working environment.
- Web Portal: Access conversations, dashboards, and administration settings through a dedicated web interface.
- Qlik Extension: Interact with AskSenseOps directly within Qlik Sense applications.
- MCP Connector: Connect AskSenseOps to compatible AI clients such as Microsoft 365 Copilot, Claude, and ChatGPT.
All three options connect to the same AskSenseOps server, providing a consistent way to access configured data sources and capabilities.
4. Enterprise Data Access and Governance
AskSenseOps provides capabilities to manage how enterprise data is accessed and interpreted.
- Respect existing data permissions when accessing connected sources.
- Support Qlik Section Access, streams, spaces, and row-level security.
- Manage metadata through descriptions, synonyms, field roles, and business terminology.
- Review metadata feedback to improve data interpretation.
- Manage users, roles, connections, and model configurations through administrative settings.
5. Beyond Conversational Data Exploration
AskSenseOps provides capabilities to retain insights and incorporate them into ongoing business activities.
- Create and save dashboards from conversations.
- Share dashboards with other users.
- Refresh dashboards to reflect updated data.
- Schedule dashboard delivery through email.
- Configure workflows to run based on schedules or defined rules.
- Trigger notifications and supported actions through configured integrations.
These capabilities allow users to extend their interactions with enterprise data beyond individual conversations.
Summary
AskSenseOps combines conversational data access, flexible AI model configuration, multiple integration options, enterprise data governance, and dashboard and workflow capabilities in one solution.
By working with existing data infrastructure and providing different ways to access and manage enterprise information, AskSenseOps enables organisations to incorporate conversational AI into their existing business processes.