New in Lyyli: workspace documents in AI conversations

General AI tools produce fluent language quickly, but a communications team rarely gets far on generic text. The content has to rest on the organisation's actual strategy, current programmes, terminology and agreed lines. If an expert has to paste the same background into every conversation, the time saved by AI disappears into preparation.

Lyyli's latest updates focus on removing that friction. Here is what has changed and how it supports the communications workflow.

01Workspace documents as context for AI conversations

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Background documents can be available to the conversation without being copied into every draft by hand.

The largest functional change connects a workspace document library directly to conversations.

An organisation can store core background material in the workspace, such as a communications strategy, brand guidance, an annual report or a long project description. When someone starts a release, an expert article or a social post, Lyyli can retrieve relevant passages from those documents as the basis for the conversation.

The feature uses retrieval: it finds the passages in the workspace files that relate to the question and passes them to the language model as context. That gives the team two practical benefits:

1. Less mechanical repetition: Background documents do not have to be pasted into every new conversation.
2. Drafts grounded in the organisation: The model is not answering from general training data alone. It can take the organisation's own terms and lines into account.

02More reliable PDF and file attachments

Longer source material often arrives as a PDF report, a study or a draft. We have improved how chat views handle file attachments, so reading and using a document is less likely to break off.

Uploading a file and referring to its contents is more stable than before. A communications specialist can bring a meeting note or a research report into the conversation and ask for a summary or angles for different channels.

03A current language-model lineup, compared side by side

Different language models suit different communications tasks. Some handle nuanced Finnish and long expert texts particularly well. Others are stronger at tight ideation or a quick analysis.

The lineup has been updated by removing outdated versions and adding current models. In Lyyli an organisation can use and compare leading models side by side in the same interface, so the team is not tied to a single technology vendor.

04Security, continued: protection at database level

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Row-level security keeps each organisation's and workspace's data separate.

Organisational communications often handles information that is not public yet, such as preparations for a results release, a strategic programme or an organisational change. Workspace isolation has to hold.

We have taken this further in the backend by enabling row-level security on database tables and tightening access rights. In practice, each organisation's and workspace's rows stay separate, and the data is not available without the corresponding permissions.

The change supports Lyyli as an organisational platform where AI is used in a governed and documented way. Language-model regions and the limits of Zero Data Retention are described on the trust page.

05How this supports communications operations

Lyyli is not meant to be only a text generator. It is a communications operations system in which planning, background, production and approval meet.

When shared guidance and documents are part of the daily workflow, the communications strategy does not stay a separate file. It shapes how content is drafted and helps the team's output stay consistent from one author to the next.

06Want to see how your communications look from the outside?

Before tightening the workflow and production, it helps to understand the current public picture. The free communications analysis reviews your organisation's public web content and surfaces observations on message lines, brand voice and consistency.

Run the free communications analysis or see features and pricing.