[Skip to content](https://www.innguma.com/en/ai/#contenido) AI at Innguma # AI does the heavy lifting. Your team does the work that matters. Far more is published every day than any team can read. Innguma's AI filters, groups, classifies and prioritises every signal so your analysts can spend their time on what no machine does for them: deciding what matters. [Connect your AI (MCP)](https://www.innguma.com/en/mcp/) **Less noise** duplicates and irrelevant signals filtered out **More context** every signal classified and with its source **Human judgement** the decision is always your team's From noise to signal ## Less to read. More to understand. Before a signal reaches your team, Innguma's AI does four jobs that your analysts would otherwise have to do by hand. 01 **Captures** Everything published by the sources you monitor. 02 **Deduplicates** The same story in twenty outlets counts only once. 03 **Classifies and filters** Topic, event type, company, technology and relevance to your priorities. 04 **Prioritises** What remains arrives ranked by your priorities. Anatomy of a signal ## From an external signal to validated knowledge. Innguma captures, processes and classifies it. Your AI can summarise it and suggest what to highlight through MCP. The analyst validates and publishes the result in the Library. AI feed ## Explore your monitoring by concept. AI identifies what each signal is about. That way you can browse all your monitoring by technology, company, event type or regulation, and discover relationships between topics. AI + human judgement ## AI proposes. Your team decides. Innguma does not replace your analysts: it takes the repetitive work off their hands so they can focus on analysis. ### What AI does - Capture and read everything that is published - Group duplicates - Classify and tag every signal - Suggest priorities - Suggest what may be relevant - Summarise, compare, spot patterns… and much more ### What your team does - Define what to monitor and why - Validate what matters - Interpret and provide context - Decide what is shared and with whom - Make the decisions AI with rules ## You always know where each piece of data comes from. 01 ### Always with a source Every signal keeps the link to its origin so you can check it. Link, outlet and date on every signal 02 ### Human review What reaches your organisation goes through people's judgement. The analyst validates before publishing 03 ### Your priorities come first AI ranks information according to the priorities your team defines. Filters and AI feed defined by you 04 ### Profile-based permissions Each person sees only what concerns them on the platform. Analyst, reader and administrator profiles 05 ### We do not train any AI on your data Your organisation's information is not used to train AI models. Through MCP, your assistant is governed by your contract with its provider If you already use an AI ## Govern your monitoring from your AI. Innguma includes connectivity through the Model Context Protocol (MCP), currently compatible with ChatGPT, Claude, Microsoft Copilot and Gemini. From your assistant you can run the whole monitoring cycle in Innguma: create and organise sources, adjust filters, review what comes in, publish and consult what has been published. Your organisation decides which capabilities it enables in each integration and what is automated or goes through human review first. Your AI brings analytical capacity. Innguma brings context. [See what the AI can publish](https://www.innguma.com/en/resources/faq/ai-publishing/) 1. 01 **Sources** Organise your sources and add new ones, from Innguma’s source library or your own. ‘Add these three competitor websites to the Competition folder.’ 2. 02 **Filters** Adjust the filters of each watch by asking in natural language. ‘Exclude Formula 1 news from mobility.’ 3. 03 **Performance** Audit which sources contribute and which generate noise, and get suggestions for improvement. ‘Which sources haven’t contributed anything relevant this quarter?’ 4. 04 **Review** Check Innguma’s inbox and ask for summaries, comparisons or priorities. ‘Summarise what came in this week about batteries.’ 5. 05 **Publication** Publish with a summary, insight, tags and additional fields; edit or delete what is published. ‘Publish this signal with the insight for R&D.’ 6. 06 **Query** Search what has been published and prepare briefings with the source linked. ‘What have we published this year about green hydrogen?’ Frequently asked questions ## Common questions about AI. **Does AI replace analysts?** No. It automates repetitive work (finding and adding sources; reading, filtering, grouping, classifying and prioritising) and suggests improvements to sources, so that your analysts can spend their time on analysis. Judgement and decisions remain with people. [I want more information](https://www.innguma.com/en/resources/faq/ai-and-analysts/) **What happens if the AI makes a classification error?** That is why there is human review: the analyst corrects, discards or publishes. And every signal keeps its source so it can be checked. [I want more information](https://www.innguma.com/en/resources/faq/ai-errors/) **Can I always see the original source?** Yes. Every signal links to the publication it comes from. [I want more information](https://www.innguma.com/en/resources/faq/original-source/) **Who decides what is relevant?** AI proposes according to the priorities your team defines. The final decision is always human. [I want more information](https://www.innguma.com/en/resources/faq/relevance/) **Do I need to know about AI to use Innguma?** No. AI works inside the platform: your team sees signals already sorted and tagged. [I want more information](https://www.innguma.com/en/resources/faq/ai-knowledge-needed/) Next step ## See Innguma's AI with your own topics. We will show you how it filters, groups, classifies and prioritises the signals on the technologies, competitors and markets that interest you, with the decision always in your team's hands. - [Request a demo](https://www.innguma.com/en/demo/) - [Why Innguma + AI](https://www.innguma.com/en/why-innguma-ai/)