AI in InfoCaption
Discover AI capabilities to create, enhance and make knowledge available in InfoCaption. From content production to smarter search, chat and integration with your own AI agents.
AI
Supporting the production of content.
Create content from Word, PowerPoint and PDF or prompt content.
Semantic search
In portals and search pages, we use semantic search, which is an AI-based smart search.
Chat with the content
Chat with the content of InfoCaption. Directly on portal pages and guides or as a browser plugin that is always with you in your context.
Choose your own LLM
Our customers always have the option to choose the LLM and language model per AI service in the platform for maximum flexibility and cost efficiency.
RAG API
For those customers who are not yet able to run MCP server, integration with AI services can be done with InfoCaption RAG API
Dashboard for token consumption
To control token consumption, this usage is measured down to the individual level.
MCP server
InfoCaption as part of your ecosystem.
Four elements of AI in InfoCaption
1. Create content
Create content from Word, PowerPoint and PDF or generate new content by prompting.
2. Find knowledge
Portals and search pages use semantic search to help users find relevant content, even when they search with different words. InfoCaption AI chat allows users to ask questions and get answers based on the content in the platform.
3. Connect to your AI ecosystem
Use InfoCaption content as a knowledge source through MCP server.
4. Govern and control
Select the LLM and language model per AI service and track the consumption of credits for the AI features in the platform.
Create and improve content faster
Use AI in InfoCaption to create, edit and improve content for courses, guides and knowledge support — all within the platform.
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Import material
Turn existing Word documents, PowerPoint presentations and PDFs into content you can continue working with in InfoCaption.
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Generate images
Generate images with AI for use in guides, courses and other learning content. - Create drafts
Prompt guides and course chapters from scripts.
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Improve content
Shorten, rewrite, adapt and refine text with AI support. -
Create quizzes
Generate quizzes and knowledge tests based on course content. -
Automate subtitles
Automatically generate subtitles and translate them into multiple languages directly in the platform.
Produce courses and guides faster with InfoCaption AI support
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Import existing material in the form of Word, Excel and PowerPoint
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Generate images
- Prompt guides and course chapters from scripts
- Curate and improve with AI
- Create quizzes and knowledge questions based on course content.
- Generate automatic subtitles with translation into multiple languages in the platform
Find the right answer faster
AI helps users get from question to answer faster. With chat and semantic search, InfoCaption content becomes more accessible in everyday life, whether the user wants to ask a question directly or search for relevant knowledge themselves.
AI chat with trusted answers based on your content
InfoCaption Chat lets users ask questions in natural language and receive answers based on relevant content in InfoCaption.
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Answers based solely on content in relevant InfoCaption guides, processes and courses
- Available on portal pages, in guides or as a browser plugin
- Choose the language model that best fits your organisation's needs
Smarter search beyond exact words
Semantic search helps users find relevant content based on meaning, not just exact keywords. This makes it easier to find the right guides, courses and other knowledge even when different words or phrases are used.
Use semantic search across portals and search pages to make knowledge easier to discover.
InfoCaption Chat - A chat with safe answers
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The chat in InfoCaption only gives you answers based on content in relevant guides, processes and courses in InfoCaption.
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Available to the user one click away and always in context.
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Choose own LLM and language model if needed
Connect InfoCaption to your AI ecosystem
MCP server
MCP (Model Context Protocol) is an open protocol that enables AI applications to connect with external data and tools.
Through InfoCaption's MCP server, AI agents and chat functions can retrieve guides, search process documentation and answer employee questions based on content found in InfoCaption.
Examples of suppliers that have integrated with InfoCaption's MCP server:
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Intric
- Microsoft Copilot
Control and customise AI features according to your needs
Choose your language model, track usage and stay in control of how your organisation uses the AI features in InfoCaption.
Select language model
Select language model per AI service in the platform for greater flexibility and better cost control.
Monitor AI usage and costs
Track credit usage down to individual level to better understand usage and manage costs.
Want to know more about InfoCaption's knowledge platform?
Frequently asked questions about InfoCaption AI solutions
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Ix
Book a demo
During a demo, we show you what InfoCaption looks like in a real environment, customised to your situation and needs.
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See how the AI features work live
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See the platform live, with examples from your industry
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Understand how Assist, Train and Map are connected
- A clear picture of what the next step could mean for you
Fill in the form and we'll be in touch
Frequently asked questions about AI in InfoCaption
The core platform InfoCaption Guide includes AI Creator, the module for AI-driven content production:
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Content production with AI: Create text guides from documents or prompts, improve the language and generate images.
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Word explanations: AI explains difficult or industry-specific words in guides, and users can translate the explanations directly in the guide.
- Transcription with AI: automatic subtitles in video guides, with translation into multiple languages.
- Semantic search: Search in portals understands what users mean, not just exact words.
- MCP server: Makes your content available to other AI services, such as Microsoft Copilot and Claude.
Assist includes chat in the context help as well as chat for portals, handbooks and guides.
AI Creator, our module for content production with AI, word explanations and transcription with AI, is included in the core platform InfoCaption Guide, regardless of which modules you choose. The AI chat is only included in the Assist module.
Usage of the AI features is measured in credits, which you can track right down to the individual level. The price of InfoCaption is based on the size of your organisation and the modules you choose. Contact us, and we’ll put together a quote tailored to you.
Read more about InfoCaption’s platform here.
InfoCaption’s cloud service uses OpenAI’s language models via Microsoft Azure OpenAI, hosted within the EU. The model used for each feature is updated continuously as new models become available. You can also use your own AI service if you wish.
Yes. Your own AI services are currently supported in Microsoft Azure OpenAI. Our support team will help you with the configuration.
If you run InfoCaption on-premises, you need to use your own AI service. You can still use the AI features, but not InfoCaption’s provider.
The AI services are delivered via Microsoft Azure OpenAI, hosted within the EU. Microsoft stores questions and answers for up to 90 days for abuse monitoring and then deletes them. Data is not used to train the AI models.
The AI assistant in the text guide tool has access only to the guide currently being edited, not to other material on the platform. Content is only processed when the producer sends a prompt or uploads a document.
For word explanations, only the word to be explained is sent.
For automatic subtitles, only the video guide’s audio track is sent.
No other information, such as user details, is sent. However, if the producer writes personal data in a prompt or uploads a document containing it, that data is included. The AI features should therefore not be used for sensitive personal data.
You control who can use the AI assistant through a separate producer permission per user.
The AI chat answers solely based on your own content in InfoCaption and links to the sources, so users can verify the answer.
Answers can link to the guides they are based on, so users can see details and get better context. The answers are as reliable as the knowledge your organisation has created and quality-assured itself. Read more on the Assist page.
Yes. Via InfoCaption’s MCP server, AI agents and chat features can retrieve guides, search process documentation and answer employee questions based on your content.
Intric and Microsoft Copilot are examples of solutions that have already been integrated. Guides can also be made searchable in SharePoint and used as a source for Copilot. Read more on the integrations page.
Both make your content in InfoCaption available to other AI services. The MCP server is built on Model Context Protocol, an open standard for how AI agents retrieve information from other systems. The RAG API is an alternative for organisations that cannot yet use MCP. In that case, your AI service retrieves content from InfoCaption via an API instead.