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Frequently asked questions

# Does AI replace analysts?

**Short answer** 

No. In Innguma, the AI does the repetitive work: it finds and adds sources, reads, filters, groups duplicates, classifies and prioritises each signal, and analyses how sources perform to suggest changes and improvements. This way analysts can spend their time interpreting and deciding. People still decide what is watched, what is published and who receives it. AI processes, your team decides, and knowledge accumulates. If you do not have analysts, Innguma's team can run the watch for you.

## What do the AI and the analyst each do in a watch system?

Technology watch and competitive intelligence are organised as a system, with processes and owners: the current UNE 166006:2018 standard treats it as a management system within R&D+i[\[1\]](https://www.innguma.com/en/resources/faq/ai-and-analysts/#ref-1). Within that system, AI changes how the work is shared, not who is responsible.

| Task in the cycle | What Innguma’s AI contributes | What the analyst still does |
| --- | --- | --- |
| Defining what is watched | Nothing: it is a business decision | Translates the organisation’s questions into sources and filters |
| Capturing and cleaning | Filters and groups duplicates | Adjusts filters when noise comes in or information is missing |
| Sorting | Classifies by category, technology, entity, type of event, place and tone | Corrects, discards or validates in Factory, the space where Innguma processes and structures signals |
| Interpreting | Allows content to be browsed by dimension with AI Feed | Relates signals, detects changes of direction and explains what they mean for the organisation |
| Distributing | Generates newsletter summaries | Decides what is shared, with whom, and with what recommendation |

## Why is it not enough to review what the AI does only in passing?

Because review loses its value when it becomes routine. The European AI Regulation, in Article 14, asks that those who oversee high-risk systems be aware of the tendency to rely automatically, or excessively, on the system’s outputs (automation bias), that they can interpret those outputs, and that they can disregard or override them[\[2\]](https://www.innguma.com/en/resources/faq/ai-and-analysts/#ref-2). A watch system is not usually high-risk in the Regulation’s sense, but the principle still applies: a wrong conclusion can steer an investment, a patent or a negotiation.

NIST’s profile for generative AI identifies two risks that explain this point: confabulation, meaning erroneous content presented with confidence, and human-AI configuration, which includes excessive trust in the system[\[3\]](https://www.innguma.com/en/resources/faq/ai-and-analysts/#ref-3). NIST’s general framework calls for defining and differentiating the roles and responsibilities of people and AI in oversight[\[4\]](https://www.innguma.com/en/resources/faq/ai-and-analysts/#ref-4).

## What changes in the analyst’s work?

-   **Less sorting, more judgement.** Time shifts from separating duplicates and tagging to deciding what matters and why.
-   **More design of the watch.** Adjusting filters and sources when the business’s questions change becomes the central task.
-   **Accumulated context.** What has been validated is kept in the Library with tags, comments and source. An assistant answers the question asked today; the watch expands the context of months or years.
-   **Working with a connected assistant.** Through MCP, ChatGPT, Claude, Microsoft Copilot and Gemini can query, summarise and, if your organisation enables it, publish or audit sources in Innguma. The analyst decides what to delegate and what to review. Your AI provides analytical capacity. Innguma provides context.

## And if my organisation does not have analysts?

The watch can be run by Innguma Service, on the same platform: do it with your team or with ours. In both cases the division is the same: the AI processes and people decide. The systems that support the managed watch services are certified under Spain’s National Security Framework at MEDIUM level, and Innguma’s technology watch and intelligence system is certified under UNE 166006:2018.

## Sources and references

1.  \[1\] [UNE. UNE 166006:2018, R&D+i management: watch and intelligence system. 18 April 2018 (in force)](https://www.une.org/encuentra-tu-norma/busca-tu-norma/norma?c=N0059973)
2.  \[2\] [Regulation (EU) 2024/1689 on artificial intelligence, Article 14 (human oversight). EUR-Lex](https://eur-lex.europa.eu/eli/reg/2024/1689/spa)
3.  \[3\] [NIST. AI 600-1, Generative Artificial Intelligence Profile. July 2024](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence)
4.  \[4\] [NIST. AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0). January 2023](https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf)

## Related

- [Academy](https://academy.innguma.com/en/)
- [What happens if the AI makes a classification error?](https://www.innguma.com/en/resources/faq/ai-errors/)
- [Who decides what is relevant in watching?](https://www.innguma.com/en/resources/faq/relevance/)
- [What is the difference between using the platform and Innguma Service?](https://www.innguma.com/en/resources/faq/platform-or-service/)

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