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SiGeKo: From site notes to reviewed records

Our own product · Technology in practice: SiGeKo connects construction documentation with AI proposals on the web and deliberate human review.

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sigeko.appLive project ↗
SiGeKo: Shared web capture with a synthetic note and audio file before the AI preview. Actual local browser capture with synthetic test data.

Actual web interface with synthetic test data. The screenshot shows capture preparation, not an AI result.

Project type
Our own product / service
Focus
Web app · AI · Collaboration

The task: capture information where it happens

On a construction site, information takes different forms: a short note, a photo, dictation or a submitted file. To support later work, it needs to be connected to a project and a specific task. SiGeKo is our own product for joining capture, documentation and collaboration in one application.

The web app brings together inspections, defects, positive observations, site diaries, safety and health plans and training records. The update adds AI assistance and shared team workflows. A central design question is how to guide people from an initial observation to a record they have deliberately reviewed.

AI capture: propose, edit and select

The new shared capture workflow on the web accepts text, dictation, photos and files. AI can use these inputs to prepare proposals for relevant project records. The preview shows editable information, source references and open questions. Users review the content and select the entries they want to apply.

The web application uses OpenAI for these AI features. A structured response is still only a proposal. Missing information needs clarification, and suggested values need review. Only explicit application connects the selected proposals to the project workflow. The new AI assistance described here refers to the web app.

Prepare documents and review versions

Assistance also supports drafts for safety and health plans and training content. Source-based project briefings bring together information from deliberately selected project areas. This helps users trace a statement back to its context and recognise gaps before making their next decision.

For submitted documents, the preliminary review is tied to a selected version; another version can be chosen for comparison. Findings can be applied as initially unpublished comment drafts. The responsible person checks and publishes the feedback. Professional approval, confirmation of actual training delivery and completion of a review remain human tasks.

Collaboration with clear responsibilities

Separate organisations, personal team accounts and roles structure collaboration. The company portal gives explicitly invited company contacts access to their assigned projects. They can submit documents and respond to published tasks or defects. Saving a project contact does not automatically invite that person into the app.

These distinctions are part of the interface design. People need to understand which information they can edit, which items are still drafts and which feedback has already been shared. Navigation, permissions and understandable status information work together to support those decisions.

What this demonstrates for your project

SiGeKo is a technical reference from our own product work. It shows how an understandable web interface, specialist workflows and AI assistance fit together. The app screenshots use synthetic sample data.

For your own project, we connect web design, tool integrations and clearly scoped AI automation. Tell us about your workflow so we can identify a useful starting point together. Explore the application and its current scope at SiGeKo.app.

Sources and further reading

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Manuel Streit
Manuel StreitYour contact at lol.marketing

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